Senior ML/AI Engineer | GenAI & MLOps (Azure / Databricks)
Job Description:
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
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Deploy ML models into production environments
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Design and implement GenAI / LLM-based solutions
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Build and manage:
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Data pipelines (Spark / Databricks)
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ML lifecycle systems
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MLOps / LLMOps frameworks
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Support Data Science teams in:
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Production readiness
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Best practices
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Present solutions and create technical documentation
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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
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5+ years in Data Engineering / Backend / ML Engineering
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5+ years writing production-grade Python
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3+ years working with ML systems in production
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1+ year hands-on GenAI / LLM experience
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Practical experience with:
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MLOps / LLMOps (Azure ML / Azure AI preferred)
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Databricks + Spark/PySpark
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Cloud (Azure or GCP)
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Tech Stack
- Python, Databricks, Spark / PySpark
- Azure ML / Azure AI (or GCP equivalents)
- MLOps / LLMOps tools
- GenAI / LLM pipelines
Compensation & Benefits
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PLN 288,000 – 316,800 annually
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110+ trainings + Udemy access
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Strong internal career growth (76% internal promotions)
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Workation policy + flexible work model
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Inclusive, DEI-driven environment
Location & Eligibility
Remote within Poland
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Must be based in Poland
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Must have valid work authorization
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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...