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...