Talenthop
United States
Forward Deployed Machine Learning Engineer (Benchmarks & Evaluations)
- AI
- Machine Learning
- Storage
AI Summary
Designs and operates high-performance AI inference platforms for large-scale machine learning models in production. Focuses on optimizing latency, throughput, and cost while ensuring scalability and reliability. Requires 10+ years of experience in distributed systems, ML platform engineering, and GPU-accelerated workloads.
Key Highlights
Fully remote role with no residency restrictions
Focus on AI inference platform optimization for large-scale models
10+ years of experience required in distributed systems and ML platform engineering
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Key Responsibilities
Design and operate model serving platforms for language, vision, and recommendation models
Optimize inference performance using batching, speculative decoding, and request multiplexing
Develop autoscaling, capacity management, and security controls for AI services
Manage end-to-end observability and incident response for AI infrastructure
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Technical Skills Required
Job Description
This is a Fully Remote Job
About Our Client:
The organization operates in the technology consulting and software development industry, specializing in delivering cloud, artificial intelligence, data, and enterprise solutions across the United States. It addresses the challenge of integrating advanced AI and software technologies into business environments, supporting clients with scalable and reliable solutions.
About the Opportunity:
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