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AI/ML Engineer

Chicago, IL / Remote · Full-time · Posted March 9, 2026

About This Role

USSP is hiring an AI/ML Engineer to build and deploy machine learning models, LLM integrations, and AI-powered solutions for enterprise clients. You'll work at the forefront of applied AI, turning research into production systems that drive real business value.

**Responsibilities** - Design, train, and deploy machine learning models for classification, NLP, and computer vision - Build LLM-powered applications using OpenAI, Anthropic Claude, and open-source models - Develop and maintain ML pipelines, feature stores, and model monitoring systems - Integrate AI capabilities into existing enterprise applications and workflows - Evaluate model performance, conduct A/B testing, and optimize for production - Stay current with AI/ML research and recommend new approaches to business problems

**Requirements** - 3+ years of experience in machine learning or AI engineering - Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn - Experience with LLMs and prompt engineering (OpenAI API, Anthropic, Hugging Face) - Knowledge of NLP, computer vision, or recommendation systems - Experience with MLOps tools and model deployment (MLflow, SageMaker, or similar) - Understanding of data engineering fundamentals (SQL, data pipelines, feature engineering)

**Nice to Have** - Experience building AI agents or multi-agent systems (CrewAI, LangGraph, AutoGen) - Knowledge of RAG (Retrieval-Augmented Generation) architectures - Experience with vector databases (Pinecone, Weaviate, pgvector) - Familiarity with responsible AI practices and model governance - Publications or contributions to open-source AI projects

**What We Offer** - Comprehensive 12-module AI & Machine Learning training program - Work on cutting-edge AI projects across industries - Cross-industry project exposure: government, healthcare, Fortune 500, startups - Health, dental, and vision benefits - Flexible remote/hybrid work arrangements - Professional development budget and career growth paths - Collaborative, innovation-driven culture since 2003

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