Senior ML Engineer

Rite NRG is an outsourcing technology company focused on empowering businesses through innovative software solutions. The company emphasizes strong partnerships and delivering impactful results for clients.

• Min. 6+ years of commercial experience in Machine Learning / AI / Data Science roles
• Strong hands-on experience with Python in production-grade ML environments
• Proven experience in building, tuning, evaluating, or integrating LLM-based solutions
• Strong understanding of machine learning fundamentals, model validation, optimization, and deployment constraints
• Experience working with structured and operational data, including feature engineering and performance improvement
• Ability to work independently and take ownership in an ambiguous, fast-evolving product environment
• Strong analytical and problem-solving skills with a practical, business-oriented mindset
• Experience integrating ML services with software products, APIs, or data pipelines
• Senior-level communication skills and ability to cooperate effectively in a small, high-responsibility team
• Fluent in Polish and advanced English (B2+/C1 level)

Nice to have:

• Experience in logistics, manufacturing, warehouse, or production-support systems
• Knowledge of optimization problems such as routing, scheduling, or decision-support logic
• Experience with cloud platforms
• Familiarity with MLOps practices and model lifecycle management
• Experience with vector databases, RAG pipelines, or LLM orchestration frameworks
• Background in solutions where ML directly improves operational efficiency

• Design and develop machine learning solutions supporting logistics and operational planning in production environments
• Build and improve LLM-based functionalities that enhance system intelligence and decision support
• Calibrate, tune, and evaluate models to improve accuracy, efficiency, and business usefulness
• Analyze process and operational data to identify patterns, bottlenecks, and optimization opportunities
• Translate business and operational needs into practical ML solutions in close collaboration with the Product Delivery Manager
• Integrate ML components into the broader software ecosystem through APIs and backend-oriented services
• Take ownership of the ML domain, including experimentation, validation, iteration, and production-oriented thinking
• Contribute to architectural decisions with a focus on scalability, maintainability, and long-term product development

Only candidates located in Poland are eligible for this remote position.