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AI-Powered Job Summary
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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
- 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
- Experience building MLOps frameworks from scratch
- Consulting / client-facing exposure
- Strong documentation and presentation skills
- 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)
- Python, Databricks, Spark / PySpark
- Azure ML / Azure AI (or GCP equivalents)
- MLOps / LLMOps tools
- GenAI / LLM pipelines
- 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
Remote within Poland
- Must be based in Poland
- Must have valid work authorization
- No visa sponsorship
- 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
Key Skills
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