remoteonsite
Software Engineer - ML Ops & DevOps - Harman
Software Engineer
Lead the design and deployment of scalable ML models and data pipelines, integrating them into automotive infotainment systems using Python, AWS, Docker, and Kubernetes. Drive continuous delivery and operational excellence in a fast‑paced, cross‑functional team.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end ML pipelines for automotive infotainment and audio systems.
- Implement CI/CD workflows and automate deployments using Docker, Kubernetes, and AWS services.
- Collaborate with data scientists, firmware engineers, and product managers to translate model requirements into production‑ready solutions.
- Monitor model performance, troubleshoot production issues, and iterate on model retraining and deployment strategies.
- Document architecture, best practices, and operational procedures for internal teams.
Requirements
- 3+ years of experience in ML Ops or DevOps roles within a software or automotive environment.
- Proficiency in Python, AWS (SageMaker, ECS, EKS), Docker, and Kubernetes.
- Strong understanding of CI/CD pipelines, Git, and automated testing.
- Experience with model versioning, monitoring, and performance tuning.
- Excellent problem‑solving skills and ability to work collaboratively in a cross‑functional team.
Skills
pythonawsdockerkubernetescicd