Informacje o stanowisku
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.
- 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
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.
,[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: Python, Machine learning, AI, MLOps, LLM, DB Tools: Jira, Confluence, GIT, Bit Bucket, Bitbucket, Jenkins, Agile, Scrum. Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, In-house trainings, Language classes, Integration events, Cafeteria system, Flexible hours, Free coffee, Canteen, Bike parking, Shower, Free snacks, Free beverages, Free parking, Modern office, No dress code, Kitchen, Fresh fruits & veggies, Joga & fitness, Carpooling, Part-free lunches.
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