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Machine Learning Software Engineer
On-siteFull-timeAI EngineeringAutomotive Technology
Join an automotive technology team developing robust production systems that bridge machine learning research and scalable deployment. The role focuses on Python-based infrastructure, inference pipelines, and modern MLOps practices.
Responsibilities
- Develop production deployment systems for classical and machine learning algorithms
- Build robust, scalable inference pipelines
- Maintain existing deployment systems and develop new production capabilities
- Use Python and infrastructure tools such as Docker and Kubernetes
- Evaluate and implement deployment technologies and engineering best practices
- Apply MLOps and inference optimization techniques
- Stay current with developments in computer vision, natural language processing, and machine learning engineering
Requirements
- B.Sc. in Computer Science, Software Engineering, or a related technical field
- Proficiency in Python
- Strong problem-solving skills and the ability to address complex production challenges
Nice to have
- Experience with Docker and Kubernetes
- Hands-on experience with model serving frameworks and inference optimization
- Background in distributed systems