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# AI/ML Engineer

- **Company:** Intersources Inc.
- **Location:** Saint Paul, MN, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Continuous Integration, Data Cleansing, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Node.Js, ReactJS, Large Language Models, Prompt Engineering, Model Validation, Generative AI, AI Platforms, Information Technology, Feature Selection, Machine Learning Operations, Virtual Agents, Jenkins
- **Published:** August 20, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/32879542#/jobs/32879542

## About the Role

Intermediate (3-5 years' experience)
Machine Learning Operations (MLOps)
Intermediate (3-5 years' experience)

Mandatory Skillsets: Python, OpenAI with LLM, ReactJS, NodeJS, Jenkins, GitHub, Claude, Copilot, * Bachelor's degree in computer science, STEM, or equivalent experience.

 * Experience in AI/ML, Generative AI, or advanced analytics.
 * Strong understanding of machine learning fundamentals and model evaluation.
 * Hands-on exposure to LLMs, prompt engineering, fine-tuning, and multimodal AI.
 * Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
 * Experience with vector databases, RAG, and tool/function calling.
 * Exposure to cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus.
 * Understanding of MLOps, AI Ops, and CI/CD for AI solutions.
 * Strong analytical, problem-solving, and communication skills.
 * Ability to work well in agile, cross-functional teams.
 * Hands on with Python and ReactJS

## Description

You will deliver machine learning and artificial intelligence solutions to support the analytical and automation needs of the Deloitte project team. Develop, train, and implement machine learning and AI models using relevant data sources. Apply techniques such as natural language processing, computer vision, or predictive analytics as needed for project objectives. Conduct data preprocessing, feature selection, and model evaluation to ensure solution quality. Deploy AI-driven applications and monitor their ongoing performance in production environments. Document methodologies and collaborate with technical team members to align solutions with project requirements., * Support AI and emerging technology initiatives across business and technology teams.

 * Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
 * Help develop and prototype AI use cases that solve real business problems.
 * Evaluate and apply foundation models, LLMs, and modern AI frameworks.
 * Contribute to RAG, memory systems, tool use, and function-calling patterns.
 * Support multi-agent workflows and autonomous AI capabilities.
 * Assist with AI experimentation, proof-of-concepts, and solution testing.
 * Partner with data, engineering, and business teams to move AI solutions toward production.
 * Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
 * Communicate technical AI concepts clearly to both technical and non-technical audiences.
 * Promote responsible AI practices, including ethics, governance, and bias mitigation.


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