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Databricks ML Engineer

Elitmind·18,000 – 28,000 PLN

Primary stack

PythonDatabricks

Nice to have's

AI

Job description

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.

About the Position

We are looking for a Databricks ML Engineer to join our team. If you have a passion for building scalable and secure machine learning solutions in cloud environments, we want to hear from you.

Responsibilities

  • Design and implement end-to-end MLOps frameworks on Azure Databricks for standardized model lifecycle management.
  • Architect secure, scalable, and cost-efficient ML platforms 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.

Requirements

  • 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: 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.

We Offer

  • Competitive Salary: 18,000 – 28,000 PLN per month (net)
  • Full-time Position
  • Opportunities for Professional Growth

Application Process

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.

Contact

Patrycja Kozłowska

Email: [email protected]

ID: 191

Published on: 08/05/2026

Apply now

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Elitmind

Regulated Industries,Financial Services,Healthcare,Real Estate,Construction

About the Company Elitmind provides AI, Data Analytics, Machine Learning, Business Intelligence, and Data Governance consulting services tailored to strategic Microsoft customers across Europe and the Middle East. Recognized for excellence, they focus on safe innovation for data-driven enterprises in regulated industries. Products, Services & Tech Stack Core Solutions: AI Consulting Data Analytics Machine Learning Business Intelligence Data Governance Technologies & Frameworks: Microsoft Databricks Snowflake Project Scope & Target Clients Client Base: Regulated industries Enterprises in Europe and the Middle East Engineering Scale: Projects involving AI, data governance, and business intelligence Complex data transformation and integration projects

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