Zabierzów, Zabierzów, Lesser Poland Voivodeship, Polska
NOVOMATIC Technologies Poland Sp. z o.o.
10. 11. 2024
Informacje o stanowisku
technologies-expected :
Python
MLOps
LLM
Machine Learning
about-project :
We’re looking for a talented and experienced Machine Learning Engineer to join NOVOMATIC Technologies Poland. You’ll be responsible for developing and deploying innovative AI-powered solutions that drive business growth.
responsibilities :
Developing, training and implementing advanced machine learning models
Creating and optimizing machine learning solutions, from data acquisition to model implementation
Processing and managing large datasets
Collaborating with other teams to understand and translate business requirements into technical solutions
requirements-expected :
3+ years of experience as a Machine Learning Engineer
Strong Software Engineering skills, with experience working with various programming languages and a good grasp of at least one language, ideally Python (5+ years)
Experience developing software products that have been successfully deployed to production
A strong understanding of AI/ML techniques and frameworks
Knowledge of MLOps best practices, including building ML pipelines and deploying applications to production
Knowledge of LLM Evaluation - knowledge and experience in evaluating large language models for alignment, safety, and applicability
Knowledge of LLM RAG - how to provide data structure, vectorized DB, hallucination recognition, confidence scoring
Comfortable working with large-scale data (batch and streaming) and a solid grasp of data structures, databases, and storage technologies
Passion for hands-on coding and applying software engineering practices to machine learning projects
Enjoy working in an agile environment, collaborating with teams, and utilizing data-driven development and experimentation
offered :
Individual training budget and days off from work
Flexible working hours
Relocation package
Medical care and life insurance
MyBenefit cafeteria and Multisport
Subsidized meals
Sports and integration events
Language classes
Referral program
Work-life balance
Healthy snacks, fruits and vegetables
Yoga and fitness sessions at the office
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses