The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams.

In Short

Manage hiring, onboarding, and growing the ML Practice team in India, roughly doubling the team size by the end of the year.
Develop relationships with key customers and partners, scope customer engagements, and manage escalations.
Align with Professional Services and Sales leaders both in the Global Delivery Center and globally.
Collaborate cross-functionally with the R&D team to define priorities and influence the product roadmap.
Lead strategic PS initiatives, practice development, and processes.
Own OKRs for revenue and utilization, with a focus on driving Databricks consumption.
Lead Databricks cultural values by example and champion Databricks brand.

Requirements

3+ years experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes.
Deep hands-on technical understanding of data science, ML, GenAI and the latest trends.
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
Passion for collaboration, life-long learning, and driving business value through ML.
Company first focus and collaborative individuals - we work better when we work together.
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
[Preferred] Experience working with Databricks and Apache Spark.
[Preferred] Experience working in a customer-facing role.