Senior ML/AI Engineer | GenAI & MLOps (Azure / Databricks)

Snapshot Join a leading data & AI consultancy building production-grade ML and GenAI solutions across industries, with a strong focus on analytics, forecasting, and AI transformation . This role sits at the intersection of Data Engineering + ML Engineering + GenAI , working closely with Data Science teams to take models from prototype to production at scale . This is not research — this is industrialized AI systems in real-world environments . Location: Remote | Poland Compensation: PLN 288,000 – 316,800 / year Job Type: Full-time What You'll Do Deploy ML models into production environments Design and implement GenAI / LLM-based solutions Build and manage: Data pipelines (Spark / Databricks) ML lifecycle systems MLOps / LLMOps frameworks Support Data Science teams in: Production readiness Best practices Present solutions and create technical documentation Work cross-functionally with engineering and business stakeholders Ideal Candidate Profile Has taken ML/GenAI models from prototype production Strong in data pipelines + ML systems + cloud integration Comfortable working with: Data Scientists Business stakeholders Thinks in scalability, reliability, and systems design Bonus: Experience building MLOps frameworks from scratch Consulting / client-facing exposure Strong documentation and presentation skills What We're Looking For 5+ years in Data Engineering / Backend / ML Engineering 5+ years writing production-grade Python 3+ years working with ML systems in production 1+ year hands-on GenAI / LLM experience Practical experience with: MLOps / LLMOps (Azure ML / Azure AI preferred) Databricks + Spark/PySpark Cloud (Azure or GCP) Tech Stack Python, Databricks, Spark / PySpark Azure ML / Azure AI (or GCP equivalents) MLOps / LLMOps tools GenAI / LLM pipelines Compensation & Benefits PLN 288,000 – 316,800 annually 110+ trainings + Udemy access Strong internal career growth (76% internal promotions) Workation policy + flexible work model Inclusive, DEI-driven environment Location & Eligibility Remote within Poland Must be based in Poland Must have valid work authorization No visa sponsorship Why This Role Work on end-to-end ML & GenAI systems (production focus) Collaborate with Data Science teams to operationalize models Build LLM-powered solutions and scalable pipelines Shape MLOps / LLMOps best practices across teams Join a structured environment with strong learning & growth culture If you want to turn AI models into real-world systems — combining data, ML, and GenAI into scalable production pipelines — this is where you build that impact. Apply now...