Senior Machine Learning Engineer

Key responsibilities:

• Designing, developing machine learning models
• Tracking latest research and techniques in machine learning
• Experimenting with latest ML methods and approaches
• Optimizing ML models for deployment in an on-premises infrastructure
• Maintaining an entire ML model lifecycle
• Monitoring performance of deployed models and handling data and model drift
• Working with large-scale datasets using distributed processing
• Processing and exploring datasets to help improve data quality
• Following coding and machine learning best practices

Requirements:

• Experience with developing machine learning models from design to business impact (5+ years applying machine learning in commercial projects)
• A degree in computer science, software engineering, or a related field
• Knowledge of computer science fundamentals (mandatory)
• Strong Python programming skills
• Experience in computer vision or natural language processing
• Strong expertise in ML frameworks and data processing libraries
• Deep understanding of modern machine learning methods
• Knowledge of ML model validation methods (data splits, metrics, confidence)
• Familiarity with data structures and parallel processing methods
• Experience in Linux and Git

Nice to have:

• Experience in PyTorch, NumPy, Pandas, SQL, Docker
• Familiarity with MLOps processes and tools
• Direct experience in biomedical data processing