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 Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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