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:
Data handling
Model training
Deployment
Evaluation
· Project experience:
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 team-oriented approach
Innovation-driven and open to new ideas and technologies
Proactive and solution-focused

Technical skill s
Very positive 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
Positive 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 Bengaluru
🏢 BMW TechWorks
📍 Bengaluru