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

C&D Talent Advisory - Academy

Poland · Full-time · Not Applicable

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...

Key Skills

Ranked by relevance

ai spark mlops gcp python cloud

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