AI/ML Engineer

IMCS Group; Minneapolis (MN); On-site; USD 110,000 - 170,000; Full time

Job summary

IMCS Group is seeking an experienced AI/ML Engineer to design, develop, and deploy AI/ML models for various business use cases. You will work with both structured and unstructured data to build intelligent solutions and integrate them with enterprise APIs.

The role emphasizes ML/NLP, Generative AI, and building scalable data pipelines for training and inference. Java experience is an added advantage in a fast-paced on-site environment.

Qualifications

• 6+ years of experience in AI/ML engineering or equivalent.
• Hands-on experience building, deploying, and maintaining AI/ML models.
• Experience with Java is a plus.

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 ML, NLP, and Generative AI applications.
• Build and maintain data pipelines for model training and inference.
• Integrate AI/ML solutions with enterprise apps 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, ML, and Generative AI technologies.

Skills

Python

NLP

LLMs

RAG

Vector Databases

Embeddings

REST APIs

Azure/AWS

Java/Spring

Job description

Role-AI/ML Engineer

Location-Minneapolis, MN (Onsite)

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:
• NLP
• Large Language Models (LLMs)
• RAG (Retrieval-Augmented Generation)
• 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.