Description

You will own the end-to-end architecture and deployment of machine learning systems for high-definition, ISA, and ADAS maps.

This role is remote.

Responsibilities

• Design and implement end-to-end ML pipelines including data preprocessing, model training, inference, and scaling.
• Develop computer vision and NLP models for map compilation workflows.
• Implement MLOps practices such as CI/CD for ML, model versioning, feature stores, and drift detection.
• Collaborate with platform teams to integrate ML outputs into production environments.

Required Skills

• 5+ years of experience in machine learning engineering or applied ML.
• 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