1,437 Annotation Specialist jobs in India
Video Annotation Specialist
DigiFocal IT Solutions Pvt Ltd
Posted today
Job Viewed
Job Description
We’re Hiring: Video Annotation Specialists (Remote | 8 Hours | Contract /Freelance)
Join us in shaping the future of AI & Machine Learning !
We’re looking for Video Annotation Specialists to support upcoming AI/ML-based projects.
Both freshers and experienced professionals are welcome — full training will be provided.
Role Overview
Position: Video Annotation Specialist
Type: Contract / Freelance
Work Mode: Remote (Work from Home)
Duration: 8 hours per day
Project Tenure: 3–6 months, extendible
Key Responsibilities
- Annotate videos by identifying people, objects, actions, and events
- Ensure accuracy, consistency, and quality across all assigned tasks
- Meet daily targets and maintain data integrity
Candidate Profile
- Graduates from any discipline (freshers welcome!)
- Experience in data labeling or annotation is a plus, not mandatory
- Strong attention to detail and observational accuracy
- Basic computer literacy (tool training provided)
What We Offer
- Remote work
- Comprehensive training for all selected candidates
- Growth opportunities into Reviewer / Team Lead roles
- Hands-on exposure to AI, Machine Learning & Computer Vision projects
Interested?
Apply now or share your resume at /
This advertiser has chosen not to accept applicants from your region.
0
Senior Annotation Specialist – Elemental Tagging
Maino.ai
Posted today
Job Viewed
Job Description
We are seeking an Account Manager, Performance Marketing to join our team. The successful candidate will be responsible for the planning, execution, and optimization of client campaigns across various digital channels. The Assistant Manager, Performance Marketing will work closely with our clients and internal teams to deliver results-driven marketing campaigns.
Responsibilities:
- Plan and execute digital marketing campaigns across all the paid channels like google adwords, facebook, Instagram, amazon ads etc
- Understanding of the key KPIs mainly CAC, LTV, Retention, ROAS etc for different vertical of business
- Ahead of the curve execution on ever-evolving advertisement product suite, based on channels as mentioned earlier
- Monitor and analyze campaign performance data, identify trends, and make recommendations for optimization.
- Work with the team to create relevant reports and presentations to share regular campaign performance updates with the key stakeholders
- Design, conceptualize & co-ordinate with the creative team to bring out campaigns based on solid consumer & business insights
- Understanding user behavior and performing root-cause analysis of changes in data trends to identify corrections or propose desirable enhancements in product & across different marketing channels
- Designing experiments to establish attribution of high reach and impact channels like programmatic, Youtube etc and evaluating them through relevant KPIs
- Conducting multivariate testing across marketing channels to assess the impact of advertising spends on the key business metrics
Qualifications:
- Deep interest and discipline in learning the skills required to excel in the role
- Inherent interest in how the internet works & user trends on internet consumption
- Good with numbers; analytical skills involving a data-driven approach to problem-solving
- Proficiency in ms excel is a great add-on
- A knack for content, copy, and creative areas is a definite plus
- Experience: 3+ years
This advertiser has chosen not to accept applicants from your region.
1
Digital : Machine Learning Machine Learning Engineer
Karnataka, Karnataka
Tata Consultancy Services
Posted 3 days ago
Job Viewed
Job Description
TCS Hiring ! Senior Machine Learning Engineer
Role** Senior Machine Learning Engineer
Exp - 5-7
Please read Job description before Applying
NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
Name:
Contact Number:
Email ID:
Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
Current Organization Name:
Total IT Experience- 5-10
Location : Bangalore Hydeerabad
Current CTC
Expected CTC
Notice period: 30 DAY S
Whether worked with TCS - Y/N
Over 5 years of experience with machine learning, especially Recommender Systems. · Strong understanding of data processing, ML infrastructure, and DevOps/MLOps. · At least 2 years with cloud technologies (preferably AWS, AWS SageMaker). · Proficient in Python, SQL, and data modeling;
Good-to-Have · DBT is a plus. · Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras.
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning Operations
Pune, Maharashtra
Ensono
Posted today
Job Viewed
Job Description
Machine Learning OperationsPune, IndiaJR
**ML Ops Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we are building the future of managed services with **AI, automation, and human expertise working together** . Our **Envision Operating System** is designed to orchestrate predictive, zero-touch operations across mainframe, distributed, and cloud environments.
As an **MLOps Engineer** , you'll be the **guardian of the machine learning lifecycle** -making sure models built by Data Scientists and deployed by ML Engineers continue to **perform, scale, and deliver business value** in production. From monitoring drift to automating retraining, you'll own the workflows that ensure AI doesn't just launch, but lasts.
This role is perfect for engineers who thrive in the space between **data science, DevOps, and operations** . You'll build pipelines, logging frameworks, and monitoring systems that make AI reliable and explainable. Your work ensures that our **incident predictions, anomaly detections, and optimization models** are not just powerful, but **trusted by Ops teams** and cost-effective for the business.
If you're a builder who loves creating **end-to-end systems that keep AI alive and useful in the real world** , this is the role for you.
**What You Will Do:**
+ **Lifecycle Automation** - Build workflows for retraining, validation, and redeployment of models to keep them current and reliable.
+ **Monitoring & Observability** - Develop systems to track model performance, drift, cost, and reliability in production environments.
+ **Logging & Explainability** - Ensure every prediction is traceable, explainable, and auditable to build trust with Ops and clients.
+ **Performance & Cost Optimization** - Identify opportunities to improve inference performance while reducing compute/storage costs.
+ **Collaboration with AI/ML Teams** - Partner with Data Scientists and ML Engineers to translate model requirements into production-ready, maintainable workflows.
+ **Tooling & Platform Management** - Standardize and scale the use of ML platforms, frameworks, and monitoring tools across the enterprise.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) with knowledge of **C++ or Java** as a plus.
+ Experience with **Docker, Kubernetes, or similar orchestration platforms** .
+ Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their production lifecycle.
+ Hands-on experience with **MLOps platforms and tools** (MLflow, Kubeflow, SageMaker, etc.).
+ Strong background in **monitoring, logging, and performance tuning** of production ML systems.
+ Exposure to **Snowflake, ServiceNow data flows, and enterprise IT operations datasets** .
+ Knowledge of cost optimization strategies for AI/ML workloads.
JR
**ML Ops Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we are building the future of managed services with **AI, automation, and human expertise working together** . Our **Envision Operating System** is designed to orchestrate predictive, zero-touch operations across mainframe, distributed, and cloud environments.
As an **MLOps Engineer** , you'll be the **guardian of the machine learning lifecycle** -making sure models built by Data Scientists and deployed by ML Engineers continue to **perform, scale, and deliver business value** in production. From monitoring drift to automating retraining, you'll own the workflows that ensure AI doesn't just launch, but lasts.
This role is perfect for engineers who thrive in the space between **data science, DevOps, and operations** . You'll build pipelines, logging frameworks, and monitoring systems that make AI reliable and explainable. Your work ensures that our **incident predictions, anomaly detections, and optimization models** are not just powerful, but **trusted by Ops teams** and cost-effective for the business.
If you're a builder who loves creating **end-to-end systems that keep AI alive and useful in the real world** , this is the role for you.
**What You Will Do:**
+ **Lifecycle Automation** - Build workflows for retraining, validation, and redeployment of models to keep them current and reliable.
+ **Monitoring & Observability** - Develop systems to track model performance, drift, cost, and reliability in production environments.
+ **Logging & Explainability** - Ensure every prediction is traceable, explainable, and auditable to build trust with Ops and clients.
+ **Performance & Cost Optimization** - Identify opportunities to improve inference performance while reducing compute/storage costs.
+ **Collaboration with AI/ML Teams** - Partner with Data Scientists and ML Engineers to translate model requirements into production-ready, maintainable workflows.
+ **Tooling & Platform Management** - Standardize and scale the use of ML platforms, frameworks, and monitoring tools across the enterprise.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) with knowledge of **C++ or Java** as a plus.
+ Experience with **Docker, Kubernetes, or similar orchestration platforms** .
+ Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their production lifecycle.
+ Hands-on experience with **MLOps platforms and tools** (MLflow, Kubeflow, SageMaker, etc.).
+ Strong background in **monitoring, logging, and performance tuning** of production ML systems.
+ Exposure to **Snowflake, ServiceNow data flows, and enterprise IT operations datasets** .
+ Knowledge of cost optimization strategies for AI/ML workloads.
JR
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning Engineer
Pune, Maharashtra
Ensono
Posted today
Job Viewed
Job Description
Machine Learning EngineerPune, IndiaJR
**Machine Learning Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're transforming into a **software-first Managed Services Provider** , where AI/ML and automation move us from reactive firefighting to **predictive, zero-touch operations** . Our **Envision Operating System** is the platform that makes this shift possible-bringing together data, intelligence, and automation across mainframe, distributed, and cloud environments.
As a **Machine Learning Engineer (ML Engineer)** , you'll be the **builder who takes models from notebooks to production systems** . You'll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.
This is a role for **makers** -people who thrive at the intersection of code, models, and operations. You'll design APIs, deploy services, and ensure our AI capabilities integrate seamlessly with systems like **ServiceNow** , Snowflake, and Envision. Your work ensures that **incident predictions, anomaly detections, and optimization recommendations** don't just exist in theory-they power real-time operations, reduce downtime, and drive measurable business outcomes for our clients.
If you're the kind of engineer who loves making AI _actually work in production_ and want to be part of the team that's **rewiring managed services with intelligent automation** , this role is for you.
**What You Will Do:**
+ **Model Deployment** - Productionize machine learning models built by Data Scientists, ensuring they run reliably, securely, and at scale.
+ **API & Service Development** - Design APIs and services that expose model predictions to EnvisionOS, ServiceNow, and other enterprise systems.
+ **Performance Optimization** - Tune models for latency, throughput, and cost efficiency in real-time environments.
+ **Feature Pipeline Integration** - Collaborate with Data Engineers to ensure robust feature pipelines feed models consistently and with minimal drift.
+ **Automation & Scaling** - Use containers, orchestration, and CI/CD practices to automate deployment and monitoring of models.
+ **Cross-functional Collaboration** - Work with Ops, Data Science, and MLOps to ensure models deliver actionable, explainable outcomes that drive trust and adoption.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) plus C, **C++, Java, Javascript** for performance-critical applications.
+ Experience with **ML frameworks** such as TensorFlow, PyTorch, or Scikit-learn.
+ Hands-on experience with **Docker, Kubernetes, or other container orchestration** tools.
+ Familiarity with **Snowflake** and data engineering workflows for integrating feature pipelines.
+ Experience deploying models in production and exposing them through **REST APIs, Flask, or Streamlit** .
+ Knowledge of SnowFlake is beneficial
+ Strong understanding of **model optimization, hyperparameter tuning, and inference performance** .
+ Experience working with **ServiceNow or IT operations datasets** is highly desirable.
**Mindset & Values**
+ **Get Stuff Done** - You take pride in moving models out of slides and into production.
+ **Builder at Heart** - You see APIs, services, and pipelines as products that should be reliable, elegant, and scalable.
+ **Impact-Oriented** - You measure success by **uptime improvements, cost savings, and real-world adoption** of AI-driven workflows.
+ **Collaborative Engineer** - You bridge the gap between Data Scientists and Ops teams, speaking both "ML" and "production."
+ **Continuous Improver** - Always looking for ways to make models faster, cheaper, and more accurate.
**Success Looks Like**
+ Models running in **production pipelines** , integrated with ServiceNow and EnvisionOS.
+ Predictions that **Ops teams trust and act on** , reducing downtime and improving MTTR.
+ Automated deployment workflows that keep models fresh, monitored, and reliable.
+ AI capabilities that scale across **mainframe, distributed, and cloud infrastructure** seamlessly.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
JR
**Machine Learning Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we're transforming into a **software-first Managed Services Provider** , where AI/ML and automation move us from reactive firefighting to **predictive, zero-touch operations** . Our **Envision Operating System** is the platform that makes this shift possible-bringing together data, intelligence, and automation across mainframe, distributed, and cloud environments.
As a **Machine Learning Engineer (ML Engineer)** , you'll be the **builder who takes models from notebooks to production systems** . You'll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.
This is a role for **makers** -people who thrive at the intersection of code, models, and operations. You'll design APIs, deploy services, and ensure our AI capabilities integrate seamlessly with systems like **ServiceNow** , Snowflake, and Envision. Your work ensures that **incident predictions, anomaly detections, and optimization recommendations** don't just exist in theory-they power real-time operations, reduce downtime, and drive measurable business outcomes for our clients.
If you're the kind of engineer who loves making AI _actually work in production_ and want to be part of the team that's **rewiring managed services with intelligent automation** , this role is for you.
**What You Will Do:**
+ **Model Deployment** - Productionize machine learning models built by Data Scientists, ensuring they run reliably, securely, and at scale.
+ **API & Service Development** - Design APIs and services that expose model predictions to EnvisionOS, ServiceNow, and other enterprise systems.
+ **Performance Optimization** - Tune models for latency, throughput, and cost efficiency in real-time environments.
+ **Feature Pipeline Integration** - Collaborate with Data Engineers to ensure robust feature pipelines feed models consistently and with minimal drift.
+ **Automation & Scaling** - Use containers, orchestration, and CI/CD practices to automate deployment and monitoring of models.
+ **Cross-functional Collaboration** - Work with Ops, Data Science, and MLOps to ensure models deliver actionable, explainable outcomes that drive trust and adoption.
**We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) plus C, **C++, Java, Javascript** for performance-critical applications.
+ Experience with **ML frameworks** such as TensorFlow, PyTorch, or Scikit-learn.
+ Hands-on experience with **Docker, Kubernetes, or other container orchestration** tools.
+ Familiarity with **Snowflake** and data engineering workflows for integrating feature pipelines.
+ Experience deploying models in production and exposing them through **REST APIs, Flask, or Streamlit** .
+ Knowledge of SnowFlake is beneficial
+ Strong understanding of **model optimization, hyperparameter tuning, and inference performance** .
+ Experience working with **ServiceNow or IT operations datasets** is highly desirable.
**Mindset & Values**
+ **Get Stuff Done** - You take pride in moving models out of slides and into production.
+ **Builder at Heart** - You see APIs, services, and pipelines as products that should be reliable, elegant, and scalable.
+ **Impact-Oriented** - You measure success by **uptime improvements, cost savings, and real-world adoption** of AI-driven workflows.
+ **Collaborative Engineer** - You bridge the gap between Data Scientists and Ops teams, speaking both "ML" and "production."
+ **Continuous Improver** - Always looking for ways to make models faster, cheaper, and more accurate.
**Success Looks Like**
+ Models running in **production pipelines** , integrated with ServiceNow and EnvisionOS.
+ Predictions that **Ops teams trust and act on** , reducing downtime and improving MTTR.
+ Automated deployment workflows that keep models fresh, monitored, and reliable.
+ AI capabilities that scale across **mainframe, distributed, and cloud infrastructure** seamlessly.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
JR
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning Engineer
Bengaluru, Karnataka
NetApp
Posted 2 days ago
Job Viewed
Job Description
**Job Summary**
NetApp is seeking an ML engineer to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key ML engineer in this initiative, the candidate will be responsible for independently deploying scalable AI/ML-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data protection and cyber-security. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.
**Job Requirements**
+ Lead the development and deployment of AI/ML systems for Data protection with techniques from the realm of classical Machine learning, Generative AI and AI agents.
+ Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations.
+ Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.
+ Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap. Ensure scalability, reliability, and performance of AI models in production environments.
+ Have a customer focus mindset and build AI/ML products that delight our customers.
+ Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences.
**Job Expectations**
+ The position is a Hybrid position, and the candidate is expected to work in NetApp Bangalore office at least two days a week.
**Required and Preferred Qualification**
+ Master's degree in computer science / applied mathematics / statistics / data science or equivalent experience.
+ 3+ years of experience in building MLOps pipelines, CI/CD pipelines, and ML systems lifecycle management.
+ Strong knowledge of optimizing and shipping machine learning and deep learning models to production.
+ Proficiency in Python, SQL and at least one cloud platform (AWS, Azure or GCP).
+ Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization
**Preferred Qualification**
+ 1+ years of experience in data engineering, including building and optimizing data pipelines and architectures.
+ Solid understanding of data science fundamentals and model evaluations, including supervised and unsupervised machine learning algorithms (both machine learning and deep learning).
+ Good understanding of cyber-security and data protection frameworks.
+ Experience of representing your work or company at AI/ML conferences.
+ Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.
NetApp is seeking an ML engineer to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key ML engineer in this initiative, the candidate will be responsible for independently deploying scalable AI/ML-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data protection and cyber-security. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.
**Job Requirements**
+ Lead the development and deployment of AI/ML systems for Data protection with techniques from the realm of classical Machine learning, Generative AI and AI agents.
+ Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations.
+ Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.
+ Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap. Ensure scalability, reliability, and performance of AI models in production environments.
+ Have a customer focus mindset and build AI/ML products that delight our customers.
+ Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences.
**Job Expectations**
+ The position is a Hybrid position, and the candidate is expected to work in NetApp Bangalore office at least two days a week.
**Required and Preferred Qualification**
+ Master's degree in computer science / applied mathematics / statistics / data science or equivalent experience.
+ 3+ years of experience in building MLOps pipelines, CI/CD pipelines, and ML systems lifecycle management.
+ Strong knowledge of optimizing and shipping machine learning and deep learning models to production.
+ Proficiency in Python, SQL and at least one cloud platform (AWS, Azure or GCP).
+ Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization
**Preferred Qualification**
+ 1+ years of experience in data engineering, including building and optimizing data pipelines and architectures.
+ Solid understanding of data science fundamentals and model evaluations, including supervised and unsupervised machine learning algorithms (both machine learning and deep learning).
+ Good understanding of cyber-security and data protection frameworks.
+ Experience of representing your work or company at AI/ML conferences.
+ Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.
This advertiser has chosen not to accept applicants from your region.
5
Manager, Machine Learning
Bengaluru, Karnataka
LinkedIn
Posted 2 days ago
Job Viewed
Job Description
LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume -- we transform lives through innovative products and technology.
Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour - and tens of millions more shares and likes.
Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
Responsibilities:
+ As a Manager, you will participate in key technical and design discussions with technical leads in the team.
+ You will lead the AI strategy for an area and work with the engineering and product leads to align it with the larger vision for the LinkedIn Sales ecosystem.
+ You will collaborate with application engineering, product, and partner teams to design machine learning solutions to power LSS products.
+ You will attract world class talent and provide technical guidance, career development, and mentoring to team members.
+ You will hold the team to a high quality bar for machine learning tech and actively reduce tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
+ You will partner with data science & analytics teams, product & infrastructure teams to build and onboard new modeling use cases online.
Basic Qualifications:
+ MS/PhD degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline.
+ 8+ years of experience in machine learning, artificial intelligence, or related fields.
+ 5+ years in an architect or technical leadership role driving large-scale AI initiatives.
+ Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
+ Experience of leading a team of engineers as a people manager.
+ 1+ year(s) of management experience or 1+ year(s) of staff level experience with management training
Preferred Qualifications:
+ 3+ years of management experience.
+ MS or PhD in Computer Science, Statistics or related technical discipline
+ Experience with machine learning, optimization algorithms, and/or deep-learning techniques
+ Experience developing large scale systems
+ Leadership or mentorship experience is preferred
+ Analytical approach coupled with solid communication skills and a sense of ownership
+ Track record of producing papers in conferences such as KDD, . and Patenting Innovations
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels
Suggested Skills
People Management
Clustered computing systems experience
Experience in building ML data systems
**India Disability Policy**
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
Every day, millions of posts, videos, and articles course through the LinkedIn feed, generating tens of thousands of comments every hour - and tens of millions more shares and likes.
Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
Responsibilities:
+ As a Manager, you will participate in key technical and design discussions with technical leads in the team.
+ You will lead the AI strategy for an area and work with the engineering and product leads to align it with the larger vision for the LinkedIn Sales ecosystem.
+ You will collaborate with application engineering, product, and partner teams to design machine learning solutions to power LSS products.
+ You will attract world class talent and provide technical guidance, career development, and mentoring to team members.
+ You will hold the team to a high quality bar for machine learning tech and actively reduce tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
+ You will partner with data science & analytics teams, product & infrastructure teams to build and onboard new modeling use cases online.
Basic Qualifications:
+ MS/PhD degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline.
+ 8+ years of experience in machine learning, artificial intelligence, or related fields.
+ 5+ years in an architect or technical leadership role driving large-scale AI initiatives.
+ Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
+ Experience of leading a team of engineers as a people manager.
+ 1+ year(s) of management experience or 1+ year(s) of staff level experience with management training
Preferred Qualifications:
+ 3+ years of management experience.
+ MS or PhD in Computer Science, Statistics or related technical discipline
+ Experience with machine learning, optimization algorithms, and/or deep-learning techniques
+ Experience developing large scale systems
+ Leadership or mentorship experience is preferred
+ Analytical approach coupled with solid communication skills and a sense of ownership
+ Track record of producing papers in conferences such as KDD, . and Patenting Innovations
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels
Suggested Skills
People Management
Clustered computing systems experience
Experience in building ML data systems
**India Disability Policy**
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
This advertiser has chosen not to accept applicants from your region.
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6
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Amgen
Posted 2 days ago
Job Viewed
Job Description
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual teams.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual teams.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Amgen
Posted 2 days ago
Job Viewed
Job Description
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Canterr, Inc.
Posted today
Job Viewed
Job Description
Role: Staff Machine Learning Engineer - Generative AI - L3
Location: Hyderabad / Hybrid
Notice: Immediate
Experience: 7+ years
What You’ll Do
- Lead with vision —set the technical direction for our generative AI team, establish best practices, and inspire high-impact innovation.
- Drive strategy —Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace.
- Build cutting-edge models —Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
- Innovate across modalities —Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
- Engineer at scale —Create data pipelines and training workflows that can handle massive, complex datasets.
- Deploy in the cloud —Use AWS and other platforms to train, optimize, and deploy models into production at scale.
- Collaborate widely —work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
- Mentor and grow —Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
- Stay ahead —keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.
What We’re Looking For
- A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is a big plus.
- 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
- Strong track record working with large-scale language and vision models (transformers, GPT, and VLMs).
- Hands-on experience with multimodal data (text, images, 3D).
- Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
- Solid grounding in probability, statistics, and optimization for generative modeling.
- Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
- Strong software engineering skills, including object-oriented programming, testing, version control, CI/CD best practices, and IaC (Terraform preferred).
- A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
- Background in manufacturing, supply chain, or related industries is a plus—but curiosity and drive matter more.
Note: Associates from product-based organizations are preferred.
Associates should complete the interview process within in 2 or 3 days after processing
PF Service History is mandatory
Irrelevant Profiles will not be considered; please go through the Job description completely before applying
This advertiser has chosen not to accept applicants from your region.
9