Aptiv
AI/ML Engineer(m/w/x)
Full-timeOn-siteExperienced
Wuppertal
New Job?Nejo!
Your personal AI career agent
APAptiv
Senior ML Engineer(m/w/x)
Wuppertal
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Automated pipeline optimization and reinforcement learning for automotive sensor platforms. Ph.D. in computer science or machine learning required. 30 days vacation, overtime compensation.
Requirements
- Ph.D. in computer science, machine learning, or related field, or master degree with extensive experience
- Excellent analytical skills and mathematical background
- Professional experience in two specific areas
- Knowledge of deep neural networks and ML techniques
- Knowledge of reinforcement learning techniques
- Experience in time series prediction with RNN
- Knowledge of SOTA ML techniques and transformers
- Experience in generative, foundation, and language models
- Systematic, goal and outcome oriented working style
- Professional experience in PyTorch
- Professional skills in Python and C++
- Oral and written English skills
- Experience in datasets and data science methods
- Understanding of edge processing and RUST
- Experience in team software development and Git
- Proven track record of scientific publications
Tasks
- Develop and evaluate machine learning models using supervised, unsupervised, and reinforcement learning
- Conduct thorough model evaluation and validation using performance metrics
- Ensure model accuracy, reliability, and robustness
- Implement and optimize automated machine learning pipelines and frameworks
- Streamline model development, training, and deployment processes
- Automate feature engineering, model selection, and hyperparameter tuning
- Deploy and scale machine learning models on AWS, Azure, or Google Cloud
- Leverage cloud-based services for data storage, processing, and analysis
- Implement CI/CD pipelines for automated model deployment, testing, and monitoring
- Integrate AI/ML solutions into existing software development workflows
- Design AI/ML solutions following automotive product development standards
- Collaborate with cross-functional teams to align with product requirements
- Design and conduct A/B tests to evaluate real-world model impact
- Analyze test results to provide data-driven optimization recommendations
- Orchestrate ML workflows using Kubeflow Pipelines in Kubernetes environments
- Automate build, test, and deployment tasks using Jenkins
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Python
- C++
- RUST
- Git
- RNN
- Transformers
- VLM
- VLA
- LLM
Benefits
More Vacation Days
- 30 days of vacation
Competitive Pay
- Overtime compensation
Job Security
- Secure, permanent employment relationship
Learning & Development
- Internal development opportunities
- Internal and external training
- Coaching and certifications
Informal Culture
- International work environment
- Inclusive work environment
Social Impact
- CSR activities
Modern Equipment
- State-of-the-art technology
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aptiv and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Aptiv
.AI Tech Solution Manager(m/w/x)
Full-timeOn-siteExperiencedWuppertal - Aptiv
Localization Architect - Robotics & Drones(m/w/x)
Full-timeOn-siteSeniorWuppertal - Aptiv
Lead Systems Engineer(m/w/x)
Full-timeOn-siteSeniorWuppertal - Aptiv
System feature Owner(m/w/x)
Full-timeOn-siteSeniorWuppertal
APAptiv
Senior ML Engineer(m/w/x)
Wuppertal
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Automated pipeline optimization and reinforcement learning for automotive sensor platforms. Ph.D. in computer science or machine learning required. 30 days vacation, overtime compensation.
Requirements
- Ph.D. in computer science, machine learning, or related field, or master degree with extensive experience
- Excellent analytical skills and mathematical background
- Professional experience in two specific areas
- Knowledge of deep neural networks and ML techniques
- Knowledge of reinforcement learning techniques
- Experience in time series prediction with RNN
- Knowledge of SOTA ML techniques and transformers
- Experience in generative, foundation, and language models
- Systematic, goal and outcome oriented working style
- Professional experience in PyTorch
- Professional skills in Python and C++
- Oral and written English skills
- Experience in datasets and data science methods
- Understanding of edge processing and RUST
- Experience in team software development and Git
- Proven track record of scientific publications
Tasks
- Develop and evaluate machine learning models using supervised, unsupervised, and reinforcement learning
- Conduct thorough model evaluation and validation using performance metrics
- Ensure model accuracy, reliability, and robustness
- Implement and optimize automated machine learning pipelines and frameworks
- Streamline model development, training, and deployment processes
- Automate feature engineering, model selection, and hyperparameter tuning
- Deploy and scale machine learning models on AWS, Azure, or Google Cloud
- Leverage cloud-based services for data storage, processing, and analysis
- Implement CI/CD pipelines for automated model deployment, testing, and monitoring
- Integrate AI/ML solutions into existing software development workflows
- Design AI/ML solutions following automotive product development standards
- Collaborate with cross-functional teams to align with product requirements
- Design and conduct A/B tests to evaluate real-world model impact
- Analyze test results to provide data-driven optimization recommendations
- Orchestrate ML workflows using Kubeflow Pipelines in Kubernetes environments
- Automate build, test, and deployment tasks using Jenkins
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- Python
- C++
- RUST
- Git
- RNN
- Transformers
- VLM
- VLA
- LLM
Benefits
More Vacation Days
- 30 days of vacation
Competitive Pay
- Overtime compensation
Job Security
- Secure, permanent employment relationship
Learning & Development
- Internal development opportunities
- Internal and external training
- Coaching and certifications
Informal Culture
- International work environment
- Inclusive work environment
Social Impact
- CSR activities
Modern Equipment
- State-of-the-art technology
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Aptiv and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Aptiv
Industry
Automotive
Description
Das Unternehmen ist ein weltweit führender Automobilzulieferer mit einem Umsatz von über 20 Mrd. USD jährlich.
Not a perfect match?
- Aptiv
AI/ML Engineer(m/w/x)
Full-timeOn-siteExperiencedWuppertal - Aptiv
.AI Tech Solution Manager(m/w/x)
Full-timeOn-siteExperiencedWuppertal - Aptiv
Localization Architect - Robotics & Drones(m/w/x)
Full-timeOn-siteSeniorWuppertal - Aptiv
Lead Systems Engineer(m/w/x)
Full-timeOn-siteSeniorWuppertal - Aptiv
System feature Owner(m/w/x)
Full-timeOn-siteSeniorWuppertal