Sr. Solutions Engineer AI/ML

3 weeks ago

Mumbai, India Databricks Full time

FEQ326R94

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world

The Impact You Will Have

Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Operate as an ML/AI expert to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring. Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains Collaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ ML offerings Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What We Look For

Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset. Code in a core programming language such as Python, Java, or Scala. Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform. Experience diving deeper into solution architecture and design. 3+ years of hands-on industry ML experience in at least one of the following: ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

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