Senior ML Engineer: Remote MLOps & Platform

Smart Working; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-first culture

Top-rated on Glassdoor

Job summary

Smart Working seeks engineers who bridge ML and platform/backend engineering to productionize models with rigorous evaluation and provenance. The role emphasizes translating AI capabilities into observable, reliable system components.

You will implement automated pipelines, track model and data provenance, and monitor compute cost and latency to meet strict quality and latency thresholds in production deployments.

Qualifications

• Proven track record at the intersection of Machine Learning, MLOps, and Platform/Backend Engineering.
• Deep understanding of evaluation metrics for generative AI, LLMs, and speech models.
• Strong hands-on experience with Docker, Kubernetes, and modern orchestration frameworks.

Responsibilities

• Refactor and upgrade ML models, including NLP, generative AI, and transcription, into production-ready modular contracts.
• Define and automate strict evaluation pipelines using golden datasets.
• Implement tracking for model, prompt, and input data provenance, plus telemetry for compute cost and latency.

Skills

ML

MLOps

Platform engineering

Tools

Docker

Kubernetes

Job description

Smart Working seeks engineers who bridge ML and platform/backend engineering to productionize models with rigorous evaluation and provenance. The role emphasizes translating AI capabilities into observable, reliable system components.

You will implement automated pipelines, track model and data provenance, and monitor compute cost and latency to meet strict quality and latency thresholds in production deployments.