We are looking for a ML Engineer to work closely with the ML Architect to develop on ML frameworks, Experimentation platform and tools. The role involves developing large-scale distributed machine learning systems, collaborating with cross-functional teams, and optimizing feature extraction and selection.
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
- 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
Benefits
- Health Insurance
- Flexible working hours
- Open holidays
- Profit distribution for everyone
- Mindera Annual Trip
- Sports
- Sharing groups to connect and have fun!
- Training & conferences
- Child Care vouchers
- Choose Laptop & Peripherals that best suit your needs
- Hotspot with unlimited usage (PT), for work or Netflix ;)
