Senior ML Engineer(m/w/x)

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

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