Senior Machine Learning Engineer

Role Overview

You will work as an MLOps Engineer for a successful US gaming brand, supporting the design, build, and deployment of production BIC Machine Learning platforms. The role is remote (PST hours preferred) on a 12-month initial contract.

Responsibilities

• Build and maintain ML pipelines.
• Manage ML platforms to enable ML use in production.
• Design, build, and deploy machine learning infrastructure to help Data Scientists and ML Engineers deliver value efficiently.
• Support orchestration and deployment of inference workloads.

Requirements

• Strong GPU inference experience (demonstrable).
• Orchestration experience.
• Solid fundamentals in Infrastructure and tools such as Terraform and Kubernetes.
• Experience with inference frameworks and serving tools such as NVIDIA Triton, KServe, and TorchServe.
• Experience with package management and vulnerability scanning (e.g., Poetry and Conda).
• Strong MLflow experience.
• Tencent experience is ideal.

Contract & Benefits

• Pay: $80–$100 per hour
• Engagement: 12-month initial W2 contract
• Utilization: 40 hr/week
• Benefits: Health, dental, vision, and 401(k) eligibility for W2 employees