ML Engineer

Summary

Join ELEKS Artificial Intelligence Office and work as an ML Engineer in Poland, Croatia, or Ukraine for a German biopharmaceutical company. You will contribute to a cloud-based platform simulating and interacting with digital twins of manufacturing processes. Responsibilities include gaining insights into business problems, data preprocessing, building statistical models, developing machine learning algorithms, and ensuring model deployability and maintainability. The ideal candidate possesses 5+ years of machine learning experience, strong deep learning knowledge, and experience with optimization frameworks. A background in mathematics or physics is preferred, along with research experience. Advanced English is required. ELEKS offers close customer collaboration, challenging tasks, competence development, a professional team, and a dynamic work environment.

Requirements

• 5+ years of experience in Machine Learning
• Strong knowledge of Deep Learning
• Experience with optimization frameworks: linear/nonlinear programming, reinforcement learning, etc
• Advanced level of English

Responsibilities

• Getting insight into business problem, understanding the opportunity and value of analytical models for the customer
• Collecting, transforming and preprocessing raw data to prepare it for analysis
• Deriving descriptive statistics out of the preprocessed data
• Building statistical and probabilistic models
• Designing, developing, training and testing data mining, machine learning and artificial intelligence models and algorithms
• Providing comparative research on different algorithms and models
• Implementing the model in a form that can be easily used by engineers, documenting its interfaces
• Delivering the model in a form that can be easily deployable and maintained

Preferred Qualifications

• JAX is a plus (PyTorch as an alternative)
• Educational background in Mathematics or Physics is preferable
• Research work/publications would be a great plus

Benefits

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Team of professionals
• Dynamic environment with low level of bureaucracy