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Metro Bengaluru, recognizable brand, mid-level ML role with generalist requirements increases applicant competition.
Core ML skills are transferable but advertising identity and device-graph experience increases domain specificity.
Explicit 5+ years requirement and specific large-scale ML and Gen-AI production skills make filters strict.
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Design, build, and productionize ML models and generative AI capabilities for identity resolution, audience modeling, attribution, and optimization in advertising data systems.
Develop scalable data pipelines and improve automation, reliability, and scalability of model training, deployment, and monitoring frameworks.
Partner with product, data science, and platform teams to deliver AI-driven solutions and shape ML and Gen-AI strategy for Ad Data Activation.
5+ years of experience applying ML or data science to real business problems at scale.
Master's degree or higher in Computer Science, Computer Engineering, Machine Learning, or a related field.
Experience with large-scale data platforms and programming languages like Python, Scala/Java, or C/C++.
Experience building or integrating with LLM/Generative AI pipelines is required.
Experienced in both traditional ML techniques and agentic generative AI systems in production environments.
Strong computer science fundamentals, capable of designing efficient algorithms and scalable systems.
Able to define KPIs, design experiments, and translate ML results into product decisions impacting advertiser productivity.