AI/ML Engineer II - Remote

Remote

Torentify

$120,100 – $214,500 · Posted 1 day ago

San Diego · RemoteLast seen today

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Summary

Optum Tech seeks an experienced Machine Learning Engineer to develop production-ready ML systems and integrate large language models into a SaaS platform for autonomous medical coding. You will design robust ML architectures, build and maintain data and model pipelines using MLOps practices, and deploy scalable solutions processing millions of medical charts daily. The role requires 5+ years of industry experience with production ML systems, 3+ years with Python or C#, 3+ years with Microsoft Azure, and 1+ year of LLMOps experience including prompt engineering and RAG. You will collaborate with data scientists, software engineers, product, and platform teams to translate business objectives into measurable ML outcomes while implementing model observability, governance, and fairness assessments.

Data Science DevOps / Infrastructure AI Azure Kubernetes Python A B Testing Ccpa CI CD Containers C#Deep Learning .NET Drift Detection Experiment Tracking Fairness Assessment Feature Engineering Fine Tuning Gdpr Gradient Boosting Llmops Machine Learning Microsoft Azure Mlops Model Monitoring Model Observability Model Registries Optimization Prompt Engineering Ranking Recommender Systems Reinforcement Learning Reproducibility Responsible AI Retrieval Augmented Generation Serverless Inference Supervised Learning Time Series Forecasting