Live opening · Posted 1 day ago
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About the role
Description supplied by the original job listing.
Looking for an experienced Engineer to build and scale large-scale ML and multimodal data pipelines for video/audio processing.
Responsibilities:
High-throughput video ingestion systems.
Large-scale multimodal data pipelines.
GPU-based distributed training environments.
Production-grade ML infrastructure and workflows.
Requirements:
5+ years in ML pipelines / Data Engineering / Distributed Systems.
Strong experience with AWS / GCP / Azure.
Expertise in Python, Spark, Ray, Kafka, Airflow, etc.
Experience with GPU environments and distributed computing.
Building scalable pipelines for large-scale video/audio datasets.
Knowledge of ML training and inference workflows
Experience with fault-tolerant, high-availability systems.
Docker and Kubernetes experience is a plus.
Experience
3-5 yrs
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