ELEKS Artificial Intelligence Office is looking for a Machine Learning Engineer in Poland or Croatia.

ABOUT PROJECT

Our client is a German company in the biopharmaceutical industry. We’re developing a cloud-based platform for the biopharma industry that enables users to simulate and interact with digital twins of manufacturing processes.

REQUIREMENTS

5+ years of experience in Machine Learning
JAX is a plus (PyTorch as an alternative)
Strong knowledge of Deep Learning
Experience with optimization frameworks: linear/nonlinear programming, reinforcement learning, etc
Educational backgound in Mathematics or Physics is preferable
Research work/publications would be a great plus
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

WHAT YOU WILL GET WITH ELEKS

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

ABOUT ELEKS

ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991.

Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D, design, technology consulting and dedicated teams.