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Tier-1 brand and metro location raise competition; senior, specialized data focus reduces broad applicant pool.
Role requires specialized data platform and ML production skills, moderately transferable across industries.
Explicit 10+ years requirement and mandatory data/ML/cloud skills make shortlisting highly selective.
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Architect and build scalable, reliable large-scale data platform systems processing billions of events.
Develop foundational infrastructure for AI and ML capabilities including feature platforms, training data pipelines, and model-serving systems.
Lead technical strategy, set engineering best practices, mentor engineers, and drive cross-team initiatives within the data and audience platform domain.
10+ years of software engineering experience with large-scale data platform development.
Strong programming skills in Python, Scala, or Java and expertise in distributed data processing technologies such as Spark, Flink, or Kafka.
Hands-on experience with cloud data infrastructure like AWS or GCP, including data lakes and warehouses.
Practical experience with productionizing ML/AI systems including feature pipelines, model serving, or GenAI/LLM systems.
Experienced technical leader capable of setting direction and influencing technical decisions organization-wide.
Proficient in integrating AI/ML into data platforms to enable intelligent product features.
Background in building scalable data systems for consumer-facing or streaming media platforms preferred but not mandatory.