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Tier-1 media brand and metro Hyderabad increase density, while senior specialized nature reduces competition.
Core data platform and ML infrastructure skills transfer across industries, so background fit is moderately flexible.
Explicit 10+ years requirement plus mandatory large-scale data platform experience and specific tech stacks.
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Architect and drive the development of large-scale, scalable data platform systems processing billions of events, including data lakes and serving infrastructure.
Build and maintain foundational platforms to power AI/ML features such as feature platforms, training data pipelines, and model-serving infrastructure.
Lead technical strategy, set best practices, and mentor engineers across multiple teams to raise overall engineering standards.
10+ years of experience in software engineering focused on scalable software systems.
Proven experience designing and shipping production-grade large-scale data platforms with strong programming skills in Python, Scala, or Java.
Hands-on experience with distributed data processing technologies like Spark, Flink, Kafka and cloud data infrastructure (AWS or GCP).
Practical experience enabling ML/AI in production environments, including feature pipelines, model serving, or GenAI/LLM systems.
Technical leader capable of setting architectural direction and driving cross-team initiatives in data engineering and applied AI.
Experienced in working with large-scale, consumer-facing streaming or media data platforms.
Comfortable in hands-on roles combining software development, data infrastructure, and applied ML engineering in a global tech environment.