Machine Learning Manager

Summary

Join Databricks' Machine Learning (ML) Practice team in India as a Manager! This leadership role focuses on growing the team, managing customer relationships, and aligning with sales and R&D. You will develop strategic initiatives, manage OKRs, and champion Databricks' culture. The position is remote, preferably based in Bangalore, and requires significant experience in managing data scientists and ML engineers. You'll need deep technical expertise in ML, GenAI, and cloud platforms. This is a unique opportunity to lead and shape the future of Databricks' ML Practice in India.

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

Responsibilities

• 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

Preferred Qualifications

• Experience working with Databricks and Apache Spark
• Experience working in a customer-facing role