Senior ML Engineer; Fully Remote

• Bridge the gap between applied machine learning and robust platform engineering.
• Translate AI capabilities into reliable and observable system components.
• Ensure ML models meet strict quality, cost, and latency thresholds before production.

• 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.

• 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.

Smart Working connects skilled professionals with outstanding global teams and products for full‑time, long‑term roles. It is a remote-first company known as one of the highest-rated workplaces on Glassdoor, fostering a genuine community that values growth and well‑being.