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תיאור משרה

Our Automated driving AI application develops the “brain” of the autonomous vehicle by applying cutting edge technologies into our vehicle's Perception and Decision-Making capabilities. The group joins domains such as Artificial Intelligence, Machine Learning, Computer Vision, Sensor Fusion and Signal Processing and embedded platform development.

The Data Group is developing and operating an efficient Data Engine for automated driving development. The group loads data from various sources create a unified data lake and serves the appropriate data to various development groups.

We're hiring a Machine Learning Operation Lead that will join the Data Group in defining, building, integrating and deploying the Machine Learning Operation platform, services and processes and be part of the big data operation.

What will you do?

  • Design, build, and maintain the core machine learning capabilities, services and platforms used by all of General Motors’ autonomous vehicle development teams.
  • Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modeling frameworks and serving infrastructure
  • Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end.
  • Build and serve as the technical lead of the MLOps team with collaboration and communication at the core of how we work.
  • Scrutinize and communicate clearly the technology and architecture choices we make.
  • Implement integrated monitoring of model performance for reliability and maintenance.
  • Continuously improve ML processes, tools and standards.


דרישות תפקיד

What are we looking for?

  • B.Sc. in Computer Science or equivalent.
  • Over 5 years of Python software development, MLOps engineering or technical architectural experience. (Git, Docker, Kubernetes, ML Algorithm)
  • Experience leading a team of developers and can demonstrate broad technical ownership.
  • Experience in orchestrating Machine Learning solutions to production at scale.
  • Applied background in machine learning platform development, software development, CI/CD and deployment patterns.
  • Experience in Data and ML Orchestration, Containerization, GPU Infrastructure, MLFlow, TensorBoard
  • Working with Data version control(DVC) and other data related tools - Advantage

workהגשת מועמדות

General Motors

על החברה

ג'נרל מוטורס הוקמה ב-1908 הנהלת החברה ממוקמת בארה"ב והחברה מעסיקה היום למעלה מ-200 אלף עובדים ברחבי העולם. במרכז הפיתוח והמחקר של GM בהרצליה פיתוח מפנים את הזרקור אל עבר אחד מהנושאים היותר לוהטים בתעשיית הרכב והטכנולוגיה בשנים האחרונות - הרכב האוטונומי.

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