Data Science & AI Specialist - Industrial Analytics
Core
Develop machine learning and AI-based solutions for process automation, focusing on machinery and process monitoring, diagnostic digital solutions, and predictive models for equipment life estimation.
Role type
R&D Data Science & AI Engineer (Industrial Analytics)
Builds
Scalable ML models, algorithms, and digital prototypes for proprietary tools and customer demonstrations.
Domain
Industrial automation, process engineering, predictive maintenance
Deliverable
production ML models | product features
Required skills
Statistics, mathematics, machine learning, Python, R, Matlab, C/C++, deep learning frameworks (PyTorch, TensorFlow), Docker, Kubernetes, ML flow, feature engineering, data cleansing
Preferred skills
Deep learning frameworks, containerization technologies, agile development of PoCs
Technologies
PyTorch, TensorFlow, Docker, Kubernetes, ML flow, Python, R, Matlab, C, C++
Responsibilities
Develop ML/AI solutions for process automation; create scalable models for proprietary tools; analyze data and validate hypotheses; build statistical/predictive models for equipment monitoring and failure detection; develop customer-centric digital prototypes; perform data cleansing and feature engineering.
Seniority
Mid-level, hands-on IC