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Selected role

Databricks ML Engineer

Elitmind Warszawa, MZ, PL

Senior Full-time

Databricks ML Engineer

We are a dynamic team focused on building scalable and secure machine learning solutions in cloud environments. Our projects involve designing and deploying end-to-end MLOps pipelines and automated CI/CD processes using Databricks and Azure services. We leverage cutting-edge technologies such as MLflow, Feature Store and Terraform to deliver robust, production-ready ML solutions.

What makes you a great fit?

Key technologies

Python | ML | Databricks | Spark/PySpark

Proficiency in Python (3+ years) for ML models development and automation.
Deep expertise in the Databricks platform (Unity Catalog, Feature Store, MLflow, Declarative Automation Bundles)
Solid understanding of MLOps practices e.g.: experiment tracking, model registry, deployment patterns and A/B testing.
Experience with Spark/PySpark and distributed data processing on Databricks.

Nice to have

Exposure to LLMOps and operationalizing large language models (LLMs), including RAG architectures, vector databases, and Databricks Mosaic AI.
Familiarity with Azure AI Services (Azure OpenAI, AI Search, Document Intelligence).

Soft skills

Analytical Thinking
Ability to interpret data, identify trends, and provide actionable insights to drive business decisions.
Problem-Solving Skills
Proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy.
Effective Communication
Ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration.
Attention to Detail
Meticulous in data validation, report generation, and ensuring data quality across BI platforms.
Team Collaboration
Strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders.
Adaptability and Continuous Learning
Open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.

What will you do?

Design and implement end-to-end MLOps frameworks on Azure Databricks for standardized model lifecycle management.
Architect secure, scalable, and cost-efficient ML platform to support ML model development, deployment, and monitoring.
Collaborate with data scientists, ML engineers, and data engineers to streamline workflows from experimentation to production.
Keep up with the latest updates in Databricks, MLOps tooling, and Azure technologies.

Our benefits

Your journey with us starts here:

1. Initial Screening: If you meet our requirements, our recruiter will reach out to you for a chat about your motivations and expectations. Get ready to share your passion!

2. Technical Interview: Next, you'll be invited to showcase your skills in an interview with one of our technical experts or team members. This is your chance to shine and demonstrate your expertise.

3. Final Interview: Finally, you'll have the opportunity to meet your future Team Lead. This is the perfect moment to learn more about the role, the team, and to ask any questions you might have.

18 000 – 28 000 PLN

NET + VAT/MONTH - B2B CONTRACT

Job details

JOB TYPE

Full time

B2B

contract

REMOTE OR HYBRID - YOU CHOOSE

you are always more than welcome to work from our office

REMOTE RECRUITMENT PROCESS

conducted via Teams

Contact person

Patrycja Kozłowska

[email protected]

ID: 191

Published on: 08/05/2026

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