Databricks ML Engineer

### This is a remote position. For our client, we are looking for a specialist to join the AI & Apps team as a 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 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. ### 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 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. ### Benefits * Flexible working hours. * Private medical care (Medicover) or Multisport card - your choice. * Modern, spacious office designed for collaboration and focus. * Unlimited access to Microsoft/Snowflake technology. * Work from anywhere - home, a coffee shop, or wherever you're most productive. Originally posted on [Himalayas](https://himalayas.app)