Senior ML/AI Specialist (K/M)

NASK SCIENCE, part of NASK Państwowy Instytut Badawczy, conducts research and development in cybersecurity, computer science, and artificial intelligence. The team develops AI algorithms supporting complex surgical operations, identity verification, and analysis of player movements in sports, as well as nationwide cybersecurity systems and detection of misinformation in social networks.

• Minimum 3 years of experience in machine learning, deep learning, and data analysis
• Advanced knowledge of fundamental machine learning algorithms
• Practical experience in training and evaluating ML/AI models
• Ability to work with time series or sequential data
• Ability to select methods appropriate to the problem
• Critical assessment skills of model effectiveness and stability
• Understanding of ML/AI model limitations and risks
• Higher education in a technical field
• English proficiency sufficient for reading technical documentation
• Advanced Python skills and experience with ML libraries (TensorFlow and/or PyTorch, NumPy, scikit-learn, pandas)
• Willingness to work iteratively and experimentally
• Teamwork skills and ability to communicate results

Nice to have:

• Experience in research and development or exploratory projects
• Experience in cybersecurity or network traffic/telemetry data analysis
• Experience with time series and sequential data
• Knowledge of anomaly detection or monitoring systems

• Prepare and analyze network traffic data
• Analyze anomaly detection problems in network traffic from ML/AI perspectives
• Select features and data representations
• Choose model classes and techniques suitable for data characteristics
• Design concepts and prototypes of ML/AI solutions
• Implement and train ML/AI models for anomaly detection
• Evaluate effectiveness, applicability, and limitations of models and methods
• Analyze robustness to data drift
• Analyze errors, risks, and false positive detections
• Collaborate on building data processing and model training pipelines
• Cooperate with AI, architecture, and systems teams
• Document experiment results and observations

• Sport subscription
• Private healthcare
• Training budget
• Language learning funding
• Life insurance
• Team integration meetings
• Preferential loans
• Additional social benefits
• Subsidies for cinema and theater tickets
• Vacation subsidies
• Free coffee
• Bicycle parking
• Free car parking
• In-house trainings
• No dress code
• Company library