CSQ127R34

The role is expected to drive customer success by designing, building, and productionizing cutting-edge ML solutions on the Databricks Data Intelligence Platform. Collaborate with enterprise clients to architect, optimize, and operationalize pipelines and models—especially LLM-based and generative-AI applications—ensuring scalable, reliable, and high-performance deployments in cloud environments.

Must have skills:

• Lead end-to-end analytics projects, including problem framing, data exploration, feature engineering, model development, validation, and deployment.
• 4+ years of technical experience (hands-on) Python, PySpark.
• Experience with ML libraries/frameworks: Scikit-learn, TensorFlow, PyTorch, Spark MLlib.
• Expertise on Deep Learning and distributed implementations of machine learning.
• Advanced knowledge of at least one cloud environment (AWS, Azure, GCP).
• Domain/technical expertise (e.g. Banking/Retail/Healthcare, Predictive modeling/Computer Vision, etc.).
• Expertise with MLOps tools and processes, including MLflow for tracking and deployment.
• Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering).
• Design generative-AI architectures (RAG, agents, text2SQL, fine-tuning) with tools such as HuggingFace, LangChain, or OpenAI, integrating them against enterprise knowledge stores.
• Experience on Model-serving on Databricks and other Cloud platforms (AWS, Azure, GCP).
• Optimize performance and scalability of data pipelines and models leveraging Delta Lake, Databricks Jobs, and Spark tuning best practices
• Apply best-in-class MLOps practices: automated CI/CD for model deployment, monitoring for drift, and continuous performance optimization in AWS/Azure/GCP.
• Optimize data science workloads for performance and cost, advising on distributed computing and Spark tuning in client environments.
• Translate business requirements into technical solutions, delivering proofs-of-concept and production applications that solve real-world problems.
• Excellent communication and client-facing consulting skills, with ability to simplify complex technical concepts.
• Documentation and white-boarding skills.
• Willingness to travel for on-site customer engagements within India.

Good-to-have Skills:

• Understands the larger competitive landscape such as EMR, Snowflake, and Sagemaker.
• Expertise on Data Engineering in Big Data technology stack - Hadoop & Databricks.
• Partner with Product, Engineering, Go-to-Market, and Customer Success teams to translate business requirements into actionable data science solutions.
• Advocate for robust data governance, quality, and observability practices, working with Data Engineering and Security teams on Unity Catalog, access controls, and monitoring.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.