GenAI PyTorch MLOps Engineer - Train, Optimize Models

Obsidian; New York (NY); On-site; USD 120,000 - 140,000; Full time

Job summary

Obsidian is seeking talented MLOps Engineers to join their cutting-edge GenAI team. This role focuses on building foundational AI models and involves AI model training, evaluation, and generating high-quality training data.

Candidates should have 2+ years of experience in ML infrastructure or MLOps and hands-on production experience with PyTorch. The position is full-time, requiring 40 hours of engagement per week with no other commitments.

Qualifications

• 2+ years of professional experience in ML infrastructure, MLOps, or ML systems engineering.
• Hands-on production experience with PyTorch at scale.
• Experience writing or optimizing custom GPU kernels using Triton or Pallas.

Responsibilities

• Guide research and engineering teams to improve AI model performance.
• Design tasks and write solutions to MLOps and ML systems problems.
• Evaluate MLOps tasks and provide technical feedback.

Skills

MLOps expertise

PyTorch

Kernel-level programming

Written communication

Job description

Obsidian is seeking talented MLOps Engineers to join their cutting-edge GenAI team. This role focuses on building foundational AI models and involves AI model training, evaluation, and generating high-quality training data.

Candidates should have 2+ years of experience in ML infrastructure or MLOps and hands-on production experience with PyTorch. The position is full-time, requiring 40 hours of engagement per week with no other commitments.