Machine Learning Engineer
Job Description
MLOps Engineer
I am currently supporting an AI-focussed robotics company who are looking for a MLOps Engineer to support them through a really exciting growth period. They combine cutting edge technology of robotics, software engineering and AI. They are committed to make a positive impact on society by driving technological advancements.
You will:
- Work alongside software engineering and data science teams to deploy and oversee machine learning models within cloud environments.
- Create ETL/ELT pipelines for robotics data processing. Establish and manage automated pipelines for model training, testing, and deployment.
- Continuously monitor and enhance model performance, scalability, and reliability during production.
- Resolve any challenges pertaining to ML workflows, data pipelines, and cloud infrastructure.
- Stay current with the latest industry standards and MLOps tools to enhance productivity and performance.
Essential skills:
- AWS
- ML Frameworks: PyTorch, TensorFlow, Scikit-learn, JAX
- Programming Languages: Python and one of (Rust, C, C++)
- Additional proficiencies: ML Cloud Architecture patterns
Benefits:
- Salary of up to €80,000
- Be a part of a modern company culture with transparent decision-making processes
- Flexible hybrid working
- Professional learning and development
- Relocation package within Germany