Machine Learning Engineer - Munich

Workster Jobs · Munich, DE · 1 year ago

Work mode: Hybrid
Category: ML ai

ai aws azure ci-cd cloud containerization data-engineering data-governance data-science docker gcp kubernetes machine-learning

Key Responsibilities – Machine Learning Engineer Roles in Munich

Design, develop, and deploy robust end-to-end machine learning models and algorithms for a variety of business use cases.

Collaborate closely with data scientists, software engineers, and product teams to transform raw data into value-adding solutions.

Optimise model performance, ensure scalability, and automate training and inference pipelines using modern MLOps practices.

Work with both structured and unstructured data, leveraging tools such as Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).

Conduct rigorous testing and evaluation of machine learning systems, applying best practices in software engineering and data governance.

Communicate complex technical concepts and analytical results clearly to a variety of technical and non-technical stakeholders.

Continuously research emerging ML technologies, frameworks, and industry developments to enhance our capabilities and solutions.

Essential Skills and Qualifications – Machine Learning Jobs in Munich

Professional experience (2+ years preferred) building and deploying machine learning models in a production environment.

Solid programming skills in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch.

Experience with cloud-based ML services or containerisation and orchestration tools (Docker, Kubernetes) is desirable.

Competence in version control, CI/CD pipelines, and best practices in model monitoring and maintenance.

Excellent analytical and problem-solving abilities, with a focus on delivering scalable, maintainable solutions.

Strong verbal and written communication skills in English; German proficiency is a plus but not essential.

Degree in Computer Science, Engineering, Mathematics, Data Science, or a related quantitative field.

Eligibility to work in Germany or willingness to relocate to Munich (relocation support offered).

Benefits & Rewards – Machine Learning Engineer Careers in Munich

Attractive and competitive salary package with annual reviews and performance-based incentives.

Hybrid working model with flexibility for remote work and collaborative time in our Munich office.

Comprehensive health insurance, generous paid leave, and wellness initiatives to support your wellbeing.

Access to modern office spaces equipped for innovation, learning, and teamwork.

Ongoing learning and professional development with dedicated budgets for courses, certifications, and conferences.

Career advancement pathways into senior AI, data engineering, and solution architecture roles.

Inclusive, diverse, and supportive workplace that values your ideas and contributions.

Why Grow Your Machine Learning Engineering Career with Us in Munich?

Create and deploy AI solutions that make a measurable impact on business strategy and customer experience.

Work alongside experts in data science, ML engineering, and business analysis on high-impact, international projects.

Enjoy a culture that encourages innovation, autonomy, and knowledge sharing as part of your everyday work.

Benefit from personal mentorship, goal-oriented training, and opportunities for both vertical and horizontal progression.

Be a part of a tech-forward company committed to ethical AI, sustainability, and long-term success.

If you are ready to advance your machine learning engineering career in Munich, we’d love to connect with you. Apply today and contribute to building the next generation of AI-driven solutions that are transforming our industry!

Explore more jobs

Key Responsibilities – Machine Learning Engineer Roles in Munich

Essential Skills and Qualifications – Machine Learning Jobs in Munich

Benefits & Rewards – Machine Learning Engineer Careers in Munich

Why Grow Your Machine Learning Engineering Career with Us in Munich?