1,110 Autonomous Driving Systems jobs in India
Senior Automotive Software Engineer - Autonomous Driving Systems
520001 Krishna, Andhra Pradesh
₹120000 Annually
WhatJobs
Posted 22 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Automotive Software Engineer to join their pioneering team, focusing on the development of advanced autonomous driving systems. This role is critical in designing, implementing, and testing sophisticated software solutions that power the next generation of vehicles. As a fully remote position, you will collaborate with a global team of experts, contributing your technical prowess from the convenience of your home office. You will work on cutting-edge technologies, tackling complex challenges in perception, planning, control, and simulation. This is an exceptional chance to influence the future of mobility and contribute to the safety and efficiency of autonomous vehicles.
Responsibilities:
Responsibilities:
- Design, develop, and integrate robust software components for autonomous driving functionalities, including perception, localization, path planning, and control.
- Write clean, efficient, and well-documented code in C++ and/or Python, adhering to strict coding standards.
- Develop and execute comprehensive unit, integration, and system tests to ensure software reliability and performance.
- Collaborate closely with cross-functional teams, including hardware engineers, AI researchers, and safety experts, to define software requirements and architectures.
- Debug and resolve complex software issues, identifying root causes and implementing effective solutions.
- Contribute to the continuous improvement of software development processes, tools, and methodologies.
- Stay up-to-date with the latest advancements in autonomous driving technology, machine learning, and automotive software engineering.
- Participate in code reviews, providing constructive feedback to peers.
- Document technical designs, algorithms, and system behaviors clearly and thoroughly.
- Contribute to the simulation and validation environments for testing autonomous driving algorithms.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- 5+ years of professional experience in automotive software development, with a significant focus on autonomous driving systems.
- Strong proficiency in C++ and Python programming languages.
- Experience with automotive communication protocols such as CAN, Ethernet, etc.
- Familiarity with robotics frameworks like ROS (Robot Operating System).
- Knowledge of sensor fusion techniques and algorithms (e.g., LiDAR, Radar, Camera).
- Experience with software development tools and workflows, including version control (Git), build systems, and CI/CD pipelines.
- Understanding of real-time operating systems (RTOS) and embedded systems.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities, crucial for remote teamwork.
This advertiser has chosen not to accept applicants from your region.
0
Remote Automotive Software Engineer, Autonomous Driving Systems
110001 Delhi, Delhi
₹1300000 Annually
WhatJobs
Posted 22 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Remote Automotive Software Engineer to contribute to the development of cutting-edge autonomous driving systems. This is a fully remote position where you will be instrumental in designing, implementing, and testing complex software solutions that power the next generation of vehicles. You will work on critical components of the autonomous driving stack, including perception, sensor fusion, path planning, and control algorithms. Your expertise in software development will be applied to ensure the safety, reliability, and performance of our autonomous vehicle technology. This role requires a deep understanding of embedded systems, real-time operating systems, and automotive communication protocols.
You will collaborate with a talented team of engineers and researchers from around the globe, utilizing advanced simulation tools and real-world testing to validate your software. Responsibilities include writing clean, efficient, and well-documented code, often in C++ or Python, and participating in code reviews to maintain high-quality standards. Debugging complex issues, optimizing algorithms for performance, and contributing to the overall system architecture are key aspects of this role. The ideal candidate will have a strong passion for automotive technology and artificial intelligence, with a proven ability to tackle challenging technical problems in a fast-paced, remote environment. Experience with ROS (Robot Operating System) and familiarity with machine learning frameworks such as TensorFlow or PyTorch are highly desirable. This is an exceptional opportunity to shape the future of mobility and work on truly transformative technology, all from your remote workspace.
Key Responsibilities:
You will collaborate with a talented team of engineers and researchers from around the globe, utilizing advanced simulation tools and real-world testing to validate your software. Responsibilities include writing clean, efficient, and well-documented code, often in C++ or Python, and participating in code reviews to maintain high-quality standards. Debugging complex issues, optimizing algorithms for performance, and contributing to the overall system architecture are key aspects of this role. The ideal candidate will have a strong passion for automotive technology and artificial intelligence, with a proven ability to tackle challenging technical problems in a fast-paced, remote environment. Experience with ROS (Robot Operating System) and familiarity with machine learning frameworks such as TensorFlow or PyTorch are highly desirable. This is an exceptional opportunity to shape the future of mobility and work on truly transformative technology, all from your remote workspace.
Key Responsibilities:
- Design, develop, and implement software for autonomous driving systems.
- Develop algorithms for perception, sensor fusion, path planning, and control.
- Write high-quality, efficient, and maintainable code (C++, Python).
- Collaborate with cross-functional teams on system integration and testing.
- Debug and optimize software performance for real-time applications.
- Contribute to the architecture and design of the autonomous driving software stack.
- Participate in code reviews and adhere to software development best practices.
- Stay current with the latest advancements in AI and autonomous driving technologies.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Minimum of 5 years of experience in software development, with a focus on automotive systems or robotics.
- Strong programming skills in C++ and/or Python.
- Experience with autonomous driving technologies, sensor fusion, perception, or control systems.
- Familiarity with ROS, Linux, and real-time operating systems.
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Excellent problem-solving and debugging abilities.
- Strong communication and teamwork skills in a remote setting.
This advertiser has chosen not to accept applicants from your region.
1
Lead Automotive Software Engineer - Autonomous Driving Systems
400001 Mumbai, Maharashtra
₹2800000 Annually
WhatJobs
Posted 22 days ago
Job Viewed
Job Description
Our client is at the forefront of automotive innovation, developing next-generation autonomous driving systems. We are seeking a highly accomplished Lead Automotive Software Engineer to join our remote-first engineering team. This is a critical role where you will architect, design, and implement sophisticated software solutions for self-driving vehicles. You will guide a team of talented engineers, drive technical strategy, and ensure the delivery of robust, safe, and efficient autonomous driving features. This role is entirely remote, offering the flexibility to work from anywhere within India.
Responsibilities:
Responsibilities:
- Lead the design, development, testing, and deployment of critical software modules for autonomous driving systems, including perception, planning, and control.
- Architect scalable and robust software solutions, adhering to best practices in software engineering and automotive standards (e.g., ISO 26262).
- Mentor and technically guide a team of software engineers, fostering a collaborative and high-performance culture.
- Define software requirements, develop technical specifications, and create detailed design documentation.
- Implement and optimize algorithms for sensor fusion, object detection, path planning, and vehicle control.
- Develop and maintain high-quality, well-documented, and testable code in C++ and Python.
- Collaborate with hardware engineers, systems engineers, and AI/ML specialists to integrate software components.
- Define and implement rigorous testing strategies, including unit testing, integration testing, simulation, and real-world validation.
- Stay abreast of the latest advancements in autonomous driving technology, AI, and automotive software.
- Troubleshoot and resolve complex software issues reported from testing or field deployment.
- Contribute to the continuous improvement of development processes, tools, and methodologies in a remote setting.
- Participate in code reviews, technical design discussions, and project planning.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
- 8+ years of experience in software development, with at least 5 years focused on automotive software, particularly in ADAS or autonomous driving systems.
- Strong proficiency in C++ and Python programming languages.
- Deep understanding of software architecture patterns, real-time operating systems (RTOS), and embedded systems.
- Expertise in developing algorithms for perception, sensor fusion, localization, path planning, and control.
- Experience with simulation tools (e.g., CARLA, SVL Simulator) and data analysis frameworks.
- Familiarity with automotive communication protocols (e.g., CAN, Ethernet).
- Knowledge of functional safety standards (ISO 26262) is highly desirable.
- Excellent problem-solving, debugging, and analytical skills.
- Strong leadership, communication, and interpersonal skills to effectively lead a remote team.
- Experience working in a remote or distributed team environment.
This advertiser has chosen not to accept applicants from your region.
2
Principal Automotive Systems Engineer - Autonomous Driving
695001 Thiruvananthapuram, Kerala
₹2500000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a pioneering automotive manufacturer, is seeking a highly accomplished Principal Automotive Systems Engineer specializing in Autonomous Driving (AD) technologies. This critical role involves leading the design, integration, and validation of complex AD systems within next-generation vehicles. You will be instrumental in defining system requirements, developing robust architectures, and ensuring the seamless integration of perception, planning, and control modules. The ideal candidate possesses deep expertise in automotive systems engineering, a strong understanding of AD algorithms, sensors, and software stacks, and a proven track record of delivering advanced automotive features. This position requires a strategic thinker with exceptional problem-solving abilities and the capacity to lead cross-functional engineering teams.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the system-level design and architecture for autonomous driving features and functions.
- Define system requirements, specifications, and validation strategies for AD components and integrated systems.
- Oversee the integration of sensors (LiDAR, radar, cameras, IMU), ECUs, and software modules.
- Develop and refine system models and simulations to test AD functionalities under various scenarios.
- Collaborate closely with software, hardware, and validation teams to ensure successful product development.
- Identify and address system-level challenges, risks, and interdependencies.
- Develop and implement robust testing and validation methodologies for AD systems, including simulation, track testing, and real-world driving.
- Ensure compliance with automotive safety standards (e.g., ISO 26262) and cybersecurity requirements.
- Mentor and guide junior systems engineers, fostering technical excellence within the team.
- Contribute to the strategic planning and technology roadmap for autonomous driving development.
- Analyze test results and field data to drive continuous improvement of AD systems.
- Stay current with cutting-edge research and developments in autonomous driving technology.
Qualifications:
- Master's or Ph.D. in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, or a related field.
- 10+ years of experience in automotive systems engineering, with a significant focus on autonomous driving or advanced driver-assistance systems (ADAS).
- In-depth knowledge of AD algorithms, sensor fusion, localization, path planning, and control systems.
- Experience with automotive communication protocols (e.g., CAN, Ethernet).
- Proficiency in systems engineering tools (e.g., MATLAB/Simulink, DOORS) and simulation environments.
- Understanding of functional safety (ISO 26262) and cybersecurity principles in the automotive context.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent leadership, communication, and collaboration abilities.
- Experience managing complex engineering projects and cross-functional teams.
- Familiarity with agile development methodologies is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Senior Automotive Systems Engineer, Autonomous Driving
226001 Lucknow, Uttar Pradesh
₹1600000 Annually
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Our client is seeking a highly innovative and experienced Senior Automotive Systems Engineer with a focus on autonomous driving systems. This is a fully remote position, offering the unique opportunity to contribute to the future of mobility from anywhere in the world. You will play a pivotal role in the design, development, integration, and validation of complex autonomous driving functionalities. The ideal candidate possesses a strong background in automotive electronics, sensor fusion, path planning, control systems, and safety standards.
Responsibilities:
Location: Lucknow, Uttar Pradesh, IN (Remote)
Responsibilities:
- Design and develop core algorithms and architectures for autonomous driving systems.
- Integrate various sensors (LiDAR, radar, cameras) and processing units to create robust perception systems.
- Develop and refine vehicle control strategies for safe and efficient autonomous operation.
- Perform system-level simulations and hardware-in-the-loop (HIL) testing to validate system performance.
- Collaborate with cross-functional teams, including software engineers, hardware engineers, and safety experts.
- Define system requirements and specifications for autonomous driving components and modules.
- Analyze test data and simulation results to identify and resolve system issues.
- Stay current with the latest advancements in AI, machine learning, and autonomous driving technologies.
- Contribute to the development of safety cases and ensure compliance with automotive safety standards (e.g., ISO 26262).
Location: Lucknow, Uttar Pradesh, IN (Remote)
This advertiser has chosen not to accept applicants from your region.
4
Digital : Machine Learning Machine Learning Engineer
Karnataka, Karnataka
Tata Consultancy Services
Posted 2 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 Engineer
Bengaluru, Karnataka
NetApp
Posted 1 day 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.
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6
Manager, Machine Learning
Bengaluru, Karnataka
LinkedIn
Posted 1 day 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.
7
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Amgen
Posted 1 day 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.
8
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Amgen
Posted 1 day 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.
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