- At least 3 years of professional experience in Machine Learning Engineering or related role; Strong programming skills, especially in Python;
- Experience with core ML libraries and frameworks (e.g. TensorFlow, PyTorch, Scikit-learn); Experience with containerization tools (Docker) and orchestration (Kubernetes); Knowledge of version control tools, especially Git;
- Practical knowledge of MLOps principles and CI/CD practices;
- Good English level
Nice to have:
- Experience with cloud platforms (Azure, AWS, or GCP) for ML services;
- Knowledge of SQL and database concepts;
- Familiarity with distributed computing frameworks (e.g. Spark)