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AI/ML Engineer

Talentgroups Connections — United States · Posted ~1 day ago

Senior Contract Onsite

Skills

Python Machine Learning NLP Large Language Models RAG Vector Databases Embeddings REST APIs AWS Azure LLMs REST API

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Summary

An AI/ML engineering role focused on designing, deploying, and optimizing machine learning and generative AI solutions. The position requires expertise in data pipelines, language models, cloud platforms, and AI application integration.

Highlights

Opportunity to develop generative AI solutions, build production ML systems, and work with modern AI technologies in an enterprise environment.

Description

Position AI/ML Engineer Location : Minneapolis, MN (Onsite) Duration: 6 months to start Job Summary We are looking for an AI/ML Engineer with 6+ years of experience in developing Machine Learning and Generative AI solutions. The candidate should have hands-on experience in building, deploying, and maintaining AI/ML models. Experience in Java is an added advantage. Key Responsibilities • Design, develop, and deploy AI/ML models for business use cases. • Work with structured and unstructured data to build intelligent solutions. • Develop and optimize Machine Learning, NLP, and Generative AI applications. • Build and maintain data pipelines for model training and inference. • Integrate AI/ML solutions with enterprise applications and APIs. • Perform model evaluation, tuning, and monitoring. • Collaborate with business, data, and engineering teams to deliver AI-driven solutions. • Stay updated with the latest AI, Machine Learning, and Generative AI technologies. Required Skills • Strong experience in Python. • Experience in: o NLP o Large Language Models (LLMs) o RAG (Retrieval-Augmented Generation) o Vector Databases and Embeddings • Knowledge of REST APIs and model integration. • Understanding of cloud platforms such as Azure or AWS. Preferred Skills • Experience with Azure OpenAI, OpenAI, or other GenAI platforms. • Knowledge of MLOps and model deployment practices. • Exposure to AI Agent frameworks and Agentic AI concepts. • Java / Spring Boot experience is an added advantage. Nice to Have • Experience with AI agents, copilots, or enterprise AI solutions. • Exposure to MLOps tools and CI/CD pipelines. • Experience with Git, Agile, and DevOps practices.