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 [link removed] 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