Role

MLOps Engineer AWS -ML-Planner

What awaits you/ Job Profile

You will be responsible for extending the current evaluation framework towards End-to-End ADAS stacks

- Develop evaluation algorithms for simulation framework
- Automate the cross-platform evaluation pipeline
- Maintain and expand test scenarios in simulation framework
- Make evaluation compatible with End-to-End ADAS stack
- Use and shape cloud services for ML-Evaluation pipeline

What should you bring along

Education

- University degree in Computer Science, Electrical Engineering, or a related field
- Ideally specialization in Machine Learning

Experience

- · Project lead in ML context, ideally familiar with the entire ML pipeline, including:
1. Data handling
2. Model training
3. Deployment
4. Evaluation

- · Project experience:

1. Repeated training/deployment/evaluation of ML models

- · Ideally experienced in software development within the Automotive Industry
- · Ideally 1+ years’ experience with ADAS simulation frameworks

Soft Skills and Mindset





- Excellent communication skills, enabling independent coordination with interface partners
- Ability to manage and maintain data and documentation in compliance with BMW standards

- Team-oriented with a collaborative approach
- Innovation-driven and open to new ideas and technologies
- Proactive and solution-focused

Technical skill s

- Very valuable skills in python, C++
- Understanding of ADAS functions and closed-loop simulation
- Experience in using cloud services for ML (e.g. docker, AWS)
- Scaling of ML in production
- Experience with statistics and database frameworks
- Good skills Machine Learning and ML-Frameworks (e.g. pytorch)

- Experience with general SW-development tooling (e.g. code versioning (git), requirements)
- Statistical Methods

Skills : Python; Data Structures; Algorithms; AWS (Expert); CI/CD; Infrastructure as Code; Argo Workflows; Production Deployments

📌 ML Ops -AWS Engineer - ML-Planner (India)
🏢 BMW TechWorks
📍 India