Databricks ML Engineer

4 922 - 7 656 USDNet per month - B2B
AI/ML

Databricks ML Engineer

AI/ML
Grzybowska 87, Warszawa

Elitmind

Full-time
B2B
Senior
Remote
4 922 - 7 656 USDNet per month - B2B

Job description

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.

What do we offer?

  • Growth That Matters

Clear development paths, access to certifications, and opportunities to work closely with leading technology partners such as Microsoft, Databricks, and Snowflake.

  • Knowledge Sharing & Real Impact

Work alongside top industry professionals, exchange ideas, and contribute to meaningful Data & AI projects where your voice truly matters.

  • Individual Development Budget

Choose the conferences, trainings, and certifications that best support your professional growth and career goals.

  • Hardware of Your Choice

Work with the equipment and tools that help you perform at your best.

  • Flexible & Remote-First Work

Enjoy flexible working hours and the freedom to work remotely from anywhere in Poland while maintaining a healthy work-life balance.

  • Supportive Leadership

Count on regular feedback, mentorship, and direct support from experienced leaders whenever you need it.

  • Project Bonuses

We celebrate success together. Receive additional bonuses for outstanding project achievements and contributions.

  • Social Events & Team Activities

Join team gatherings, integration events, and sports initiatives that help us stay connected beyond projects.

  • Private Healthcare

Your well-being matters to us. Benefit from comprehensive private medical care.

  • Modern Office Space

Work from our comfortable and well-equipped office located in a great Warsaw location whenever you feel like meeting the team in person.

  • Relaxed Atmosphere

Enjoy a flat organizational structure, no dress code, and a collaborative environment built by talented, down-to-earth people.

  • Employee Referral Program

Help us grow our team and earn up to 6000 PLN for successful employee referrals.

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.

Tech stack

    Polish

    C1

    English

    B2

    Databricks

    master

    Machine Learning

    master

    Python

    advanced

    Azure

    advanced

    PySpark

    regular

Office location

Databricks ML Engineer

4 922 - 7 656 USDNet per month - B2B
Summary of the offer

Databricks ML Engineer

Grzybowska 87, Warszawa
Elitmind
4 922 - 7 656 USDNet per month - B2B
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