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 good 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
- Valuable 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

Disclaimer: This job posting has been aggregated from external source. Role details

📌 ML Ops (Bengaluru)
🏢 BMW TechWorks India
📍 Bengaluru