AI/ML Developer

MACHINE LEARNING TECHNOLOGIES LLC; Auburn Hills (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Auburn Hills, MI, seeks an AI/ML Developer to design and deploy ML models using Python, PyTorch, and TensorFlow. You will build Generative AI, LLM, and RAG applications and integrate them with Azure AI Foundry and OpenAI services.

You will implement MLOps/LLMOps, CI/CD, and monitoring while ensuring security, performance, and scalable deployments for enterprise integrations.

Qualifications

• Proficiency in Python for AI/ML model development.
• Experience with PyTorch or TensorFlow for ML/DL projects.
• Hands-on with Generative AI, LLMs and RAG architectures.
• Experience deploying models via REST APIs and microservices.

Responsibilities

• Develop and deploy AI/ML models using Python.
• Build ML/DL solutions with PyTorch and TensorFlow.
• Create Generative AI, LLM, RAG, and Agentic AI apps.
• Work with Azure AI Foundry and Azure OpenAI.
• Develop REST APIs, microservices, and enterprise integrations.
• Implement MLOps/LLMOps, CI/CD, and model monitoring.
• Ensure AI security, performance, and scalability.

Skills

Python

PyTorch

TensorFlow

Generative AI

LLM

RAG

Agentic AI

MLOps

CI/CD

REST APIs

Cloud platforms

AI security

Tools

Azure AI Foundry

Azure OpenAI

FastAPI/Flask

Job description

Job Description

Job Overview

• Job ID: J53440
• Job Title: AI/ML Developer
• Location: Auburn Hills, MI
• Duration: 12 Months + Extension
• Domain Exposure: Retail
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Responsibilities

• Develop and deploy AI/ML models using Python.
• Build machine learning and deep learning solutions using PyTorch and TensorFlow.
• Develop Generative AI, LLM, RAG, and Agentic AI applications.
• Work with Azure AI Foundry and Azure OpenAI.
• Develop REST APIs, microservices, and enterprise integrations.
• Implement MLOps/LLMOps, CI/CD, and model monitoring.
• Ensure AI security, performance, and scalability.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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