Description

You will provide technical leadership in designing, developing, and deploying ML solutions for high-definition, ISA, and ADAS maps.

Responsibilities

• Own and drive end-to-end ML system architecture, covering data preprocessing, model training, inference, deployment, monitoring, and scaling.
• Lead innovation and develop models using computer vision, NLP, deep learning, and machine learning techniques.
• Build scalable, reproducible ML systems optimized for production on-cloud or in-vehicle environments.
• Implement MLOps practices, including CI/CD for ML, model versioning, feature stores, and drift detection.
• Collaborate with platform and backend teams to integrate ML outputs into map compilation workflows.

Required Skills

• 5+ years of experience in machine learning engineering, applied ML, data engineering, or backend systems with ML components.
• Proven experience building end-to-end ML systems.
• Proficiency in Python.
• Experience with Machine Learning and Deep Learning frameworks.
• Strong knowledge of Computer Vision and NLP.
• Hands-on experience with MLOps practices.
• Familiarity with AWS, Docker, and Kubernetes.
• Proficiency with SQL.

Key Skills

Education

Any Graduate