Machine Learning Engineer - Python - AI / Supply Chain

Machine Learning Engineer - Python - AI / Supply Chain

Machine Learning Engineer - Python - AI / Supply Chain

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Location: Berlin (Hybrid or Remote within Germany)

Job Type: Full-time

Industry: AI / Supply Chain Technology

Language Requirements: English (Fluent), German is a +

The Company:

My client is an innovative and fast-growing company operating at the intersection of artificial intelligence and supply chain optimisation. With a strong focus on digital transformation and data-driven decision-making, they are developing a platform that helps industrial companies build resilient, transparent supply chains through intelligent, automated insights.

The company is well-funded, already working with recognised names in the industry, and is now scaling its team to support the next phase of growth.

About the Role:

They're looking for a Machine Learning Engineer to join their high-performing AI team. This is a hands-on role focused on developing, deploying, and maintaining production-grade ML models that power key product features. You’ll work closely with data scientists, software engineers, and product managers to build intelligent solutions that solve real-world supply chain challenges.

Key Responsibilities:

• Design and implement scalable ML models for production use
• Collaborate with product and data teams to define modelling goals and success metrics
• Preprocess and analyse structured and unstructured data
• Develop training pipelines, model validation processes, and evaluation frameworks
• Deploy models using containerisation tools (e.g. Docker) and cloud infrastructure (e.g. AWS, GCP)
• Monitor performance and continuously improve model accuracy and efficiency
• Write clean, reproducible, and well-documented code

Requirements:

• 6 years + experience with Python and ML libraries (e.g. scikit-learn, XGBoost, TensorFlow, PyTorch)
• Proficiency in data manipulation using tools like Pandas, NumPy, and SQL
• Experience training and deploying ML models in a production environment
• Solid understanding of ML concepts including feature engineering, cross-validation, and model evaluation
• Familiarity with cloud platforms (AWS, GCP, or Azure) and container tools (Docker, Kubernetes)
• Strong problem-solving skills and the ability to work independently as well as collaboratively
• Experience working with supply chain or procurement data
• Exposure to NLP techniques (e.g. text classification, embeddings, transformers)
• Experience with MLOps tools and model monitoring solutions
• Background in computer science, data science, applied maths, or a related field

What’s on Offer:

• Competitive salary and benefits package
• Flexible working hours and a remote-friendly culture
• A collaborative, supportive team environment
• Opportunities for career development and skill-building
• A chance to make a meaningful impact at a forward-thinking company

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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