Sr. Solutions Consultant - Mumbai

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.