Role | Senior 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 degreeinComputer ScienceElectrical Engineering or a related field
- Ideally specialization inMachine Learning
Experience - Project lead in ML context ideally familiar with the entire ML pipeline including:
- Data handling
- Model training
- Deployment
- Evaluation
- Project experience:
- Leading project team of 510 employees (over a period of 1 years)
- 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 documentationin compliance with BMW standards
- Team-orientedwith a collaborative approach
- Innovation-drivenand open to new ideas and technologies
- Proactiveand 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
Required Experience:
Manager
RoleSenior MLOps Engineer AWS -ML-PlannerWhat awaits you/ Job ProfileYou will be responsible for extending the current evaluation framework towards End-to-End ADAS stacksDevelop evaluation algorithms for simulation frameworkAutomate the cross-platform evaluation pipelineMaintain and expand test scen...
Role | Senior 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 degreeinComputer ScienceElectrical Engineering or a related field
- Ideally specialization inMachine Learning
Experience - Project lead in ML context ideally familiar with the entire ML pipeline including:
- Data handling
- Model training
- Deployment
- Evaluation
- Project experience:
- Leading project team of 510 employees (over a period of 1 years)
- 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 documentationin compliance with BMW standards
- Team-orientedwith a collaborative approach
- Innovation-drivenand open to new ideas and technologies
- Proactiveand 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
Required Experience:
Manager
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Posted on:
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Vacancies:
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