Design and scale ML infra for development, experimentation, and production.
Collaborate with ML Engineers, Data Scientists, and Product teams to speed experiments.
Build embeddings and observability frameworks for ML pipelines.
Evaluate new AI/ML tech (e.g., Triton, GPU) for production use.
Enable next-gen ML platform for adtech with benchmarking and forecasting.

🎯 Requirements

Design scalable ML platforms and pipelines.
Distributed data systems: Spark, Hadoop, Kafka.
GPU compute & Triton inference.
Data tooling: Snowflake, embeddings, observability.
Python/Scala/Java and SQL.
Cross-functional collaboration with ML/DS teams.

🎁 Benefits

Paternity/maternity leave
Healthcare insurance
Broadband reimbursement
Snacks, drinks, and catered lunches
Hybrid work schedule for collaboration

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