Demo

Large Scale ML Infrastructure Architect

Impax Recruitment
Bay, FL Full Time
POSTED ON 3/28/2025
AVAILABLE BEFORE 4/26/2025

About the Position

This is an exciting opportunity to join our team at Impax Recruitment as a Large Scale ML Infrastructure Architect. You will be responsible for building and managing large-scale ML infrastructure, designing scalable pipelines, and exploring new training techniques.

Key Responsibilities:

  • Architect and maintain distributed systems for training and inference of large machine learning models, ensuring optimal performance across all stages.
  • Develop and implement end-to-end data processing pipelines capable of handling massive datasets, from ingestion and transformation to model training and deployment.
  • Research and implement cutting-edge training methods, including parallelization strategies and precision trade-offs, to improve the performance and scalability of model training.
  • Analyze and enhance low-level GPU operations to improve efficiency, reduce latency, and maximize hardware utilization in complex ML tasks.
  • Stay updated on industry trends and advancements in ML research to incorporate new ideas and techniques into our systems.

What We're Looking For:

  • A strong problem-solver with fast execution and adaptability in tackling complex problems with speed and creativity.
  • Expertise in optimizing ML workloads, including leveraging advanced techniques like mixed-precision training and hardware optimization.
  • Experience with distributed training frameworks, such as FSDP or DeepSpeed, and cloud platforms, including GCP, AWS, or Azure.
  • Hands-on experience with containerization and orchestration tools like Docker and Kubernetes.
  • Distributed systems and scalable serving expertise, including building task management systems and deploying ML models in production environments.
  • Knowledge of monitoring and observability practices, including logging and tracking performance in ML systems.

Other Benefits:

  • Fully onsite position in SF with startup hours.

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