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Strong global brand and metro Hyderabad location increase competition despite senior, specialized requirements.
Medium because ML leadership skills are transferable, but media/ad-tech and identity expertise are preferred.
High due to explicit 12+ years requirement, management experience, and mandatory ML platform and leadership skills.
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Lead and grow Hyderabad ML Engineering team (7 ICs) owning delivery of ML systems for identity, audience, content affinity, forecasting, and ML platform.
Accountable for technical execution, people development, hiring, and cross-functional stakeholder communication in India, reporting to the Director.
Drive adoption and reliability of ML stack including Databricks, AWS SageMaker, Snowflake, MLflow and agentic AI tooling, ensuring production-grade ML systems.
12+ years total experience in ML, data science, or ML engineering, including 3-5+ years in engineering management.
Hands-on experience with ML stack: Python, Databricks/Spark, MLflow, cloud ML (AWS SageMaker preferred), SQL/Snowflake.
Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or related quantitative field.
Work Experience Required: 12+ years in ML/Data Science/Engineering with 3-5+ years managing multi-level ML teams.
Technically deep leader able to engage in Staff-level ML architecture discussions and code reviews, with history of building production ML systems at scale.
Experienced managing diverse and geographically distributed ML teams in matrixed global organizations with cross-timezone coordination.
Domain experience in streaming, media, ad-tech, or consumer internet particularly around audience modeling, identity resolution, personalization and recommendations.