We are looking for a ML Engineer to develop large-scale distributed machine learning systems and work closely with the ML Architect to develop on ML frameworks.
Requirements
- 5+ years of experience as a Machine Learning Engineer
- Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting
- Skilled in building predictive models (e.g. churn, user journey, sales forecasting) using behavioral data
- Proficient with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- Experienced in model training, versioning, and monitoring
- Solid background in MLOps practices: CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow, model observability tools, and feature stores
- Business-oriented mindset: ability to connect model outcomes to product and strategic goals
Benefits
- Health Insurance
- Flexible working hours
- Open holidays
- Profit distribution for everyone
- Mindera Annual Trip
- Sports
- Sharing groups
- Training & conferences
- Child Care vouchers