Machine Learning Engineer (W/M/D)

📋 Description

• Design, develop, and deploy end-to-end ML and AI pipelines, from problem framing and
• Build and maintain robust data and ML pipelines for model training, evaluation, and deployment
• Implement and evolve ML/LLMOps practices: model versioning, production monitoring, reproducibility
• Develop APIs and microservices to expose ML/AI models to business applications.
• Analyze large datasets, identify modeling challenges, propose solutions, and iterate quickly.
• Collaborate closely with Data, Product, and Engineering teams to turn prototypes into scalable

🎯 Requirements

• 3-5 years of experience developing and deploying ML models in production
• Master's degree in Computer Science, Applied Mathematics, Data Science, or related field
• Expertise in Python and ML frameworks (scikit-learn, XGBoost, LightGBM, HuggingFace, DSPy)
• Practical experience with MLflow, Kubeflow, DVC, or DeepEval
• Cloud experience (AWS SageMaker, Azure ML, GCP Vertex AI) and containerization with
• SQL proficiency and strong feature engineering skills

🎁 Benefits

• Mission-driven work with team culture
• Dynamic company events and all-hands meetings
• Training policy with annual learning budget
• Remote-friendly and flexible work
• Family Care Policy including parental leave
• Mental health support through coaching