…We are looking for a Senior MLOps Engineer to join our Data Engineering & Analytics team. In this role, your primary focus will be leading…

Want to build the data infrastructure that powers autonomous driving at scale? NVIDIA is seeking a Senior MLOps Engineer to join our Autonomous Driving…

NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with strategic customers to implement and enhance groundbreaking AI…

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously…

…ABOUT THE JOB As a Senior Site Reliability Engineer on the Undersea Dominance team, you will build and operate the infrastructure that keeps our…

…in generative AI, agents, and MLOps who can hold your own in a room full of AI engineers and leave them with something they…

…You will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly…

…Proven ability to define and enforce clean code standards and software engineering best practices across teams. Experience mentoring and developing senior-level data scientists…

…Pair with a senior engineer/mentor for end-to-end feature lifecycle walkthrough, and weekly technical check-ins. - Tools orientation: Setup access to relevant…

…As a Senior Lead Software Engineer at JPMorgan Chase within Corporate - AIML Data Platforms team , you will design, build, and operate the foundational cloud…

Reporting to the Senior Engineering Manager of the AI & ML Platform team, this Senior Machine Learning Engineer will play a key part in building…

…Site Reliability Engineering (SRE) Apply SRE fundamentals including monitoring, alerting, incident response, and performance optimization. Support production ML systems using MLOps tools and operational…

…Analyst, Data Engineering Data Engineering is the practice of designing, building, and maintaining systems that collect, store, process, govern, and analyze large volumes of…

…prompt engineering, agentic workflows, and orchestration frameworks. Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm). Grasp of MLOps tools…

…development, software engineering, deployment, and continuous improvement—while building reusable services that accelerate adoption across teams. You will partner closely with senior stakeholders to…

…Productionization & Cross-functional Execution Define requirements and partner with Engineering to productionize LLM solutions. Partner with Engineering and MLOps to deploy and monitor models…

…As a Senior Software Engineer (ML Data & Backend) , you will architect mission-critical systems that power the foundation of trust across our global marketplace…

Senior Software Engineer – ML Infra About the Role & Team Engineering at Uber means building for real-world impact under real-world constraints. As a…

…Your team is senior and cross-functional (Data Scientists, MLOps Engineers, and a Product Manager), and its output is measured in company-level business…

…engineering, mathematics, or a related field, or equivalent practical experience - 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior…

…and adoption of AI native delivery models (MLOps, intelligent pipelines) Engineering Excellence & DataOps Champion high quality engineering practices including coding standards, architectural integrity, performance…

Join Amazon's Talent Solution’s Core Science and Engineering organization as a Senior Software Development Engineer at the forefront of talent evaluation and…

…As a Senior Forward Deployed Engineer, Applied AI on our Cortex AI team, you will be a hands-on technical leader and trusted partner…

…Ability to navigate cross-team dynamics between ML engineering, data engineering, software engineering, and business operations teams. Ability to balance requirements across engineering, design…

…AI / ML Foundations Experience building or supporting ML ready datasets and basic feature engineering Exposure to operationalizing ML pipelines and MLOps concepts, on Azure…