Aptiv jobs

Sr Software Development Engineer (Full Stack) - Evisort AI 2 Locations posted: Posted 3 Days Ago

Machine Learning Associate Advisor - HIH - Evernorth Hyderabad, India posted: Posted 30+ Days Ago

Applied AI - Associate IS Engineer (Full Stack) India - Hyderabad posted: Posted 30+ Days Ago

Sr. Associate, Agentic AI Business Solutions, Neural Nexus India - Hyderabad posted: Posted 30+ Days Ago

Machine Learning Engineer/Senior Machine Learning Engineer - Evisort 2 Locations posted: Posted 3 Days Ago

Sr. Associate, Innovation & AI Automation India - Hyderabad posted: Posted 30+ Days Ago

Senior Associate Solution Architect (Agentic Automation, GenAI & ML) India - Hyderabad posted: Posted 30+ Days Ago

Senior Deep Learning Architect, Generative AI Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run

Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them

Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Cupertino, California, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We

Senior UCIe PHY Expert, MLA Technology Austin, Texas, USA Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Machine Learning Accelerator (MLA) Technology is seeking a UCIe PHY expert who is interested in diving deep into the definition, design, validation, and data center operation of AWS's next generation machine learning silicon and servers. As a senior member of our technology team, you will have opportunities to participate in the design and execution of UCIe, SERDES, and general high speed analog technologies, with the goal of creating the most stable machine learning platforms within AWS's data centers. A senior UCIE engineer on our team needs to be able to work with vendors and internal design teams, understand UCIe timings and features, write/modify tests at scale, debug fleet wide issues, and collect data from manufacturing and the data center. Our broader team has end to end ownership of some of the most complicated IPs on the most advanced server hardware in the world. We drive complex technical debug efforts involving our IPs and leverage the massive

Sr Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have

Senior Machine Learning Engineer, AWS Generative AI Innovation Center Tokyo, JPN Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for the intersection of software development with generative AI and machine learning. You'll also: - Solve

Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago

Associate Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

Applied AI - Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

Associate Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

Assoc Dir-AI Science Hyderabad, India posted: Posted 9 Days Ago

Senior Software Engineer, Vertex 1P GenAI SRE Warsaw, Poland Vertex 1P GenAI Site Reliability Engineering (SRE) is looking for individuals passionate about shaping the future of artificial intelligence, Generative AI and machine learning platforms while driving production excellence including reliability, scalability and performance through sound SRE principles. You will have the opportunity to collaborate closely with a global team of SREs and developers to solve large and complex problems while building and supporting groundbreaking AI/ML tools that enable both internal and Google Cloud customers to thrive with game-changing artificial intelligence built on the rapidly growing Vertex GenAI platform. Vertex AI is a key pillar to the Cloud AI's mission to responsibly deliver AI that enables industries and organizations to transform and solve real-world problems through a single unified artificial intelligence platform that enables building, deploying, and scaling ML models faster with either pre-trained and custom tooling. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł364000 - zł374000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google . Improve and ensure reliability of Vertex AI products and services. Develop/Influence scalable and sustainable system architecture and designs for products, services and enhancements. Help define strategy and set direction for Vertex AI services to increase reliability, efficiency and ultimately feature velocity. Lead efforts to adopt infrastructure and standards (P2020, Cloud Horizontals, etc.) for Vertex AI. Resolve outages or service disruptions and help design solutions to ensure systems are protected

AI Platform Lead India - Hyderabad posted: Posted 30+ Days Ago

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

AI Data Scientist, OTDS - Manager India - Hyderabad posted: Posted 10 Days Ago

Senior Machine Learning Engineer, GenAIUX East Palo Alto, California, USA Help shape new Generative AIUX products for AWS customers Our team builds Generative AIUX products that transform the way customers design. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. The two products you will be working on are Venue and project Arena. Venue is an AI powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping. We are seeking a talented and passionate generative/agentic Senior Machine Learning Engineer to join our team and lead the development of cutting-edge AIUX solutions. AIUX is the intersection of Artificial Intelligence and User Experience. AIUX focuses on making sure the user experience is bar raising for a human and simultaneously works well with agents. This includes designing for trust, transparency (letting users know they are interacting with AI), and providing control (allowing users to edit or undo AI actions). It enhances productivity, automates repetitive tasks, and creates more engaging, intuitive, and efficient user experiences. The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative