Senior Machine Learning Ops Engineer

Join our Perception Deep Learning team as a Senior Machine Learning Ops Engineer. In this role, you will lead the design and evolution of our machine learning platform, enabling teams to build, deploy, and scale intelligent systems with reliability and speed. You will partner closely with perception, deep learning, and platform engineers to build infrastructure for training and operationalizing machine learning models. You will also shape the architecture of our ML infrastructure and influence technical strategy.

• Architect, design, deploy, and operate scalable cloud-based MLOps platforms and workflows that enable efficient training, evaluation, deployment, monitoring, and lifecycle management of AI/ML models.
• Own the technical strategy and evolution of ML infrastructure, identifying architectural bottlenecks and driving cross-functional initiatives to improve developer productivity, experimentation velocity, scalability, and operational efficiency.
• Establish engineering best practices for ML infrastructure, including system design, code quality, testing, CI/CD, monitoring, documentation, and operational readiness.
• Nice to Have: Experience building MLOps pipelines for deep learning based perception solutions on AWS or GCP
• Personal Attributes: Team player, good communication skills, self starter
• Strong teamwork and communication skills to collaborate with cross-functional teams, including ML and software engineers
• Core Skills: General Software Engineering skills with 6+ years of programming experience in python and the surrounding tooling ecosystem along with familiarity in linux and expertise in infrastructure, cloud and/or MLOps,
• A Bachelors Degree or a Masters Degree in Computer Science, Electrical Engineering, or a related field