Directly manage 7 ICs (2× MLE 2, 3× Senior MLE, 1× Staff MLE, 1× Staff DS); own their performance, growth, and career development.
Establish a high-performance engineering culture: technical excellence, ownership, psychological safety, rigorous experimentation, and continuous learning.
Maintain sufficient technical depth to review ML architecture proposals, challenge design decisions, and unblock technical escalations across all workstreams.
Own end-to-end delivery accountability for Hyderabad’s ML projects: scope, milestones, dependencies, risks, and stakeholder communication.
Overseer ML Promo Optimizer, STAT v2, and segmentation that power advertising and marketing activation.
Serve as the primary point of contact for the Hyderabad ML team across Product, Marketing, Ad Sales, Data Engineering, Legal/Privacy, and Finance.

12+ years of total experience in ML, data science, or ML engineering, including 3–5+ years in engineering management.
Demonstrated success leading and growing teams of ~6–12 ML engineers and/or data scientists, including a multi-level IC ladder (junior through Staff).
Strong technical foundation in ML: you can read and critique model-architecture proposals, review ML code, and engage credibly in Staff-level discussions — you have personally built and shipped production ML.
Hands-on (current or recent) experience with the ML stack: Python, Databricks/Spark, MLflow, cloud ML (AWS SageMaker preferred), and SQL/Snowflake.
Proven track record delivering complex, multi-month ML projects in production at scale.
Experience in a matrixed, global organization with cross-timezone collaboration.
Excellent communication: translating technical complexity for executive and non-technical audiences, and business context for engineers.
Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field.

Senior Manager, Machine Learning Engineering, Data & Audience Platform

Key skills