2,808 AI Powered Automation jobs in India
Robotic Process Automation Consultant
Claidroid
Posted 6 days ago
Job Viewed
Job Description
Job Description – UiPath Developers (Claidroid Technologies)
Role: UiPath Developer
Experience: 2–9 Years (minimum 2 years relevant)
Location:Trivandrum
Joining: Immediate joiners preferred.
About the Role
At Claidroid, we are scaling our Intelligent Automation practice and seeking UiPath Developers who can design, build, and optimize automation workflows using best practices. You will work closely with our enterprise clients to deliver robust, scalable, and reliable RPA solutions leveraging UiPath’s advanced frameworks.
Key Responsibilities
- Design, develop, and deploy UiPath automation workflows using RE Framework and Queues .
- Deep knowledge and hands-on in Orchestrator for scheduling, monitoring, and RCA analysis.
- Build scalable automation solutions , integrating DU Framework.
- Ensure reusable, maintainable automation design aligned with solution architecture.
- Collaborate with cross-functional teams to implement automation strategies.
Mandatory Skills
- Strong hands-on experience in UiPath RE Framework, Queues .
- Expertise in UiPath Orchestrator , scheduling, monitoring, and RCA analysis .
- Proficiency in Solution Design and building automation workflows.
- Working experience with DU Framework .
Good-to-Have Skills
- VB.Net scripting skills.
- Exposure to AI Center and Action Center .
- Experience with IXP (Intelligent Automation Exchange/Integrations) .
Why Join Claidroid?
- Opportunity to work on challenging enterprise-scale automation programs.
- Growth-focused, collaborative environment.
- Immediate onboarding – fast-track your next career move!
If you 're interested for the role kindly drop your updated CV with below details with our HR SPOC - Pratik - or call @
Note : We would require Immediate joiner or candidate who are serving Notice period.
Total Exp :
CTC:
Exp CTC :
Location : Trivandrum only
This advertiser has chosen not to accept applicants from your region.
0
Robotic Process Automation Consultant
Bengaluru, Karnataka
Trantor
Posted 11 days ago
Job Viewed
Job Description
Job Description:
Inviting applications for the role of Lead Consultant - UiPath Developer
In this role, the developer will take part in RPA production bot maintenance, enhancement, and support activities for robotics solutions, meet the incident SLA, and work as per the defined support process & practices.
Responsibilities
- Hands-on experience developing automations in UiPath Studio
- Familiarity with UiPath Orchestrator for deploying, managing, and monitoring automations
- Proficiency in programming and scripting languages relevant to UiPath (such as VB.NET and C#)
- Experience building, configuring, testing, and deploying UiPath automation scripts/bots
- Experience using UiPath Document Understanding and integrating document processing into automations
- Exposure to UiPath Process Mining for process discovery and analysis
- Skills in troubleshooting, debugging, and maintaining existing UiPath automations
- Ability to create and maintain technical documentation and user guides specific to UiPath solutions
- Familiarity with incident management and willingness to participate in 24/7 support rotation
- Collaborative mindset to work within a blended UiPath-focused team and communicate progress/issues proactively
- Strong communication skills to collaborate with business users, IT, and management
- Root Cause Analysis (RCA) for all high and critical severity incidents
- Perform RCA for recurring issues and propose a solution.
- Code fix if required to resolve the incident.
- Review system health periodically, like disk space, the capacity of a server, etc. and recommend a solution
- Keep the support handbook and other documents updated.
- Update the knowledge base (SharePoint or any location as mutually agreed with the Customer) and SOP with new solutions
Qualifications we seek in you!
Minimum qualifications
- Experience developing and testing software on a Windows platform, including hands-on programming experience in Process Automation Software—UiPath
- Understanding of Robotics process automation tool UiPath
- Ability to both understand a business process from a workflow diagram and to conceptualize it as an automated solution.
- Willingness and ability to blend business analysis with the hands-on configuration of automated processes in the Automation Software Products.
- Good communication skills with the ability to present technical details to a non-technical audience.
- Ability to talk to the client and get the Business Requirements
- Performs code reviews. Communicates and enforces coding standards
- Certification in leading RPA products, e.g., UiPath, Automation Anywhere or Blue Prism certifications
- VB script and Macro experience
- Incident management
- Familiarity with service management tools like JIRA and ServiceNow
This advertiser has chosen not to accept applicants from your region.
1
Robotic Process Automation Consultant
Noida, Uttar Pradesh
Trantor
Posted 11 days ago
Job Viewed
Job Description
Job Description:
Inviting applications for the role of Lead Consultant - UiPath Developer
In this role, the developer will take part in RPA production bot maintenance, enhancement, and support activities for robotics solutions, meet the incident SLA, and work as per the defined support process & practices.
Responsibilities
- Hands-on experience developing automations in UiPath Studio
- Familiarity with UiPath Orchestrator for deploying, managing, and monitoring automations
- Proficiency in programming and scripting languages relevant to UiPath (such as VB.NET and C#)
- Experience building, configuring, testing, and deploying UiPath automation scripts/bots
- Experience using UiPath Document Understanding and integrating document processing into automations
- Exposure to UiPath Process Mining for process discovery and analysis
- Skills in troubleshooting, debugging, and maintaining existing UiPath automations
- Ability to create and maintain technical documentation and user guides specific to UiPath solutions
- Familiarity with incident management and willingness to participate in 24/7 support rotation
- Collaborative mindset to work within a blended UiPath-focused team and communicate progress/issues proactively
- Strong communication skills to collaborate with business users, IT, and management
- Root Cause Analysis (RCA) for all high and critical severity incidents
- Perform RCA for recurring issues and propose a solution.
- Code fix if required to resolve the incident.
- Review system health periodically, like disk space, the capacity of a server, etc. and recommend a solution
- Keep the support handbook and other documents updated.
- Update the knowledge base (SharePoint or any location as mutually agreed with the Customer) and SOP with new solutions
Qualifications we seek in you!
Minimum qualifications
- Experience developing and testing software on a Windows platform, including hands-on programming experience in Process Automation Software—UiPath
- Understanding of Robotics process automation tool UiPath
- Ability to both understand a business process from a workflow diagram and to conceptualize it as an automated solution.
- Willingness and ability to blend business analysis with the hands-on configuration of automated processes in the Automation Software Products.
- Good communication skills with the ability to present technical details to a non-technical audience.
- Ability to talk to the client and get the Business Requirements
- Performs code reviews. Communicates and enforces coding standards
- Certification in leading RPA products, e.g., UiPath, Automation Anywhere or Blue Prism certifications
- VB script and Macro experience
- Incident management
- Familiarity with service management tools like JIRA and ServiceNow
This advertiser has chosen not to accept applicants from your region.
2
Robotic Process Automation Consultant
Pune, Maharashtra
Trantor
Posted 11 days ago
Job Viewed
Job Description
Job Description:
Inviting applications for the role of Lead Consultant - UiPath Developer
In this role, the developer will take part in RPA production bot maintenance, enhancement, and support activities for robotics solutions, meet the incident SLA, and work as per the defined support process & practices.
Responsibilities
- Hands-on experience developing automations in UiPath Studio
- Familiarity with UiPath Orchestrator for deploying, managing, and monitoring automations
- Proficiency in programming and scripting languages relevant to UiPath (such as VB.NET and C#)
- Experience building, configuring, testing, and deploying UiPath automation scripts/bots
- Experience using UiPath Document Understanding and integrating document processing into automations
- Exposure to UiPath Process Mining for process discovery and analysis
- Skills in troubleshooting, debugging, and maintaining existing UiPath automations
- Ability to create and maintain technical documentation and user guides specific to UiPath solutions
- Familiarity with incident management and willingness to participate in 24/7 support rotation
- Collaborative mindset to work within a blended UiPath-focused team and communicate progress/issues proactively
- Strong communication skills to collaborate with business users, IT, and management
- Root Cause Analysis (RCA) for all high and critical severity incidents
- Perform RCA for recurring issues and propose a solution.
- Code fix if required to resolve the incident.
- Review system health periodically, like disk space, the capacity of a server, etc. and recommend a solution
- Keep the support handbook and other documents updated.
- Update the knowledge base (SharePoint or any location as mutually agreed with the Customer) and SOP with new solutions
Qualifications we seek in you!
Minimum qualifications
- Experience developing and testing software on a Windows platform, including hands-on programming experience in Process Automation Software—UiPath
- Understanding of Robotics process automation tool UiPath
- Ability to both understand a business process from a workflow diagram and to conceptualize it as an automated solution.
- Willingness and ability to blend business analysis with the hands-on configuration of automated processes in the Automation Software Products.
- Good communication skills with the ability to present technical details to a non-technical audience.
- Ability to talk to the client and get the Business Requirements
- Performs code reviews. Communicates and enforces coding standards
- Certification in leading RPA products, e.g., UiPath, Automation Anywhere or Blue Prism certifications
- VB script and Macro experience
- Incident management
- Familiarity with service management tools like JIRA and ServiceNow
This advertiser has chosen not to accept applicants from your region.
3
Robotic Process Automation Consultant - Power Automate
Chennai, Tamil Nadu
Avensys Consulting UK
Posted 1 day ago
Job Viewed
Job Description
Role: Power Automate RPA Senior
Work Location: Chennai or Bangalore or Gurugram
Job Type: Rolling Contract
- Experience of at least five years in Power Platform, RPA - Power Automate
- Experience in Canvas and Model driven apps.
- Hands-on working on experience in Dataverse, used business rules, JavaScript, XrmTool
- Experience of implementing programming best practice, especially around scalability, automation, virtualization, optimization, availability and performance
- Producing complex and critical software rapidly and of high quality which adds value to the business
- Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
- Collaborating to optimise our software engineering capability
- Designing, producing, testing and implementing our working code
- Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations
This advertiser has chosen not to accept applicants from your region.
4
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.
5
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.
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6
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.
7
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.
8
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.
9