ML Ops -AWS Engineer - ML-Planner

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
• 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