Description

Prototype, design, and implement predictive models and algorithms to drive discovery for mobility products.

Responsibilities

• Prototype and implement scalable machine learning solutions for vehicle telemetry data and video analysis.
• Lead the full model life cycle, including data cleansing, feature creation, and iterative model selection.
• Establish automated processes for large-scale data analysis, model development, validation, and implementation.
• Deliver production-ready, tested, and maintainable code that adheres to engineering standards.
• Collaborate with Product Owners to define KPIs and work with engineering teams to serve customer needs.

Required Skills

• 8+ years of production experience in Data Science or Software Engineering.
• 5+ years of production experience in Machine Learning, Computer Vision, Signal Processing, or NLP.
• Solid production experience using Python, NumPy, and SQL.
• Production experience using TensorFlow and/or PyTorch.
• Production experience with Apache Spark.
• Experience implementing Machine Learning pipelines in production environments.
• Hands-on experience with web APIs, containers, CI/CD, and testing.
• Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud).
• Experience working within Agile Scrum environments.

Preferred Skills

• Experience with automotive telematics data and video analysis.
• Experience in edge computing.

Key Skills

Education

Any Graduate