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Senior Robotics Data Engineer / Data Scientist - General Motors
Data Scientist
Senior engineer responsible for designing and scaling data pipelines, analytics, and machine‑learning models that power robotic manufacturing systems, leveraging Python, Spark, ROS, and cloud services.
About the role
Key Responsibilities
- Design, develop, and maintain high‑performance data pipelines that ingest sensor, vision, and control data from manufacturing robots.
- Build and deploy machine‑learning models for predictive maintenance, process optimization, and autonomous decision‑making.
- Integrate data solutions with Robotics Operating System (ROS) and other robot control frameworks.
- Collaborate with hardware, software, and manufacturing teams to define data requirements and ensure data quality.
- Implement cloud‑native infrastructure on AWS, using services such as S3, Redshift, and SageMaker, and containerize workloads with Docker.
Requirements
- 5+ years of experience in data engineering or data science, preferably in robotics or manufacturing environments.
- Strong proficiency in Python, SQL, and distributed processing frameworks like Apache Spark.
- Hands‑on experience with machine‑learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch) and model deployment.
- Familiarity with ROS, real‑time data streams, and sensor integration.
- Experience deploying scalable solutions on AWS and using container technologies such as Docker.
Skills
pythonsqlapache sparkmachine learningawsdocker