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Tier-1 brand and metro location increase competition, but senior specialized role limits applicant density.
Requires specialized data platform and ML production experience, limiting cross-industry transferability.
Explicit 10+ years, deep data platform and ML production experience make shortlisting highly stringent.
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Architect and drive design of large-scale data platform systems including pipelines, data lakes, and serving infrastructure processing billions of events.
Build foundational infrastructure to enable AI/ML capabilities such as feature platforms, training data pipelines, and model serving.
Provide technical leadership by setting standards, mentoring engineers, and influencing strategy beyond the immediate team.
10+ years of software engineering experience building scalable software systems.
Strong programming skills in Python, Scala, or Java and deep knowledge of distributed data processing frameworks like Spark, Flink, Kafka.
Hands-on experience with cloud data infrastructure (AWS/GCP), data lakes, and warehouses.
Practical experience enabling ML/AI in production including feature pipelines, model serving, or GenAI/LLM-based systems.
Experienced in leading large-scale data platform projects with an emphasis on reliability and scalability.
Demonstrated ability to integrate AI/ML capabilities into production data systems.
Proven track record of cross-team technical leadership and mentoring at senior engineering levels.