Databricks ML Engineer

Role: Databricks ML Engineer 🔷Languages: Fluent Polish & English 🔷Location: 100% remote or hybrid - you choose. You are always more than welcome to work from our offices located in Warsaw or Cracow 🔷Salary: B2B contract 18 000-26 000 PLN net + VAT 🔷Long-term cooperation 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). 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.