AI/ML Developer

Apexon; Auburn Hills (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

Apexon is seeking an experienced AI/ML developer to design, build, deploy, and support scalable AI/ML solutions for enterprise applications. You will integrate GenAI capabilities, build robust workflows, and help move solutions from prototype to production.

Strong Python, PyTorch/TensorFlow, and MLops experience are required, with familiarity in cloud AI platforms and secure, enterprise-grade integrations. Automotive OEM exposure is a plus.

Qualifications

• 7+ years in IT/software development with 4+ years in AI/ML.
• Strong Python and hands-on ML framework experience.
• Experience deploying GenAI and AI agents in production.

Responsibilities

• Design, develop, deploy, and support scalable AI/ML solutions.
• Integrate GenAI capabilities into enterprise apps and pipelines.
• Move prototypes to production with reliable AI workflows.

Skills

Python

PyTorch

TensorFlow

scikit-learn

Generative AI

LLMs

Prompt engineering

Embeddings

Vector search

RAG

Tool calling

Cloud platforms

MLOps

Docker

Kubernetes

CI/CD

AI security

Governance

Tools

Azure AI Foundry

Azure OpenAI

Azure ML

AWS Bedrock

SageMaker

Job description

bExperience: 7+ years overall IT/software development, including 4+ years in hands-on AI/ML development

Are you passionate about building production-ready AI solutions, Generative AI applications, and intelligent AI agents? We're looking for an experienced bAI/ML Developer to join our team!

What we’re looking for?

• Strong Python programming and hands-on experience with PyTorch, TensorFlow, or scikit-learn
• Generative AI, LLMs, prompt engineering, embeddings, vector search, and RAG
• Agentic AI, tool/function calling, multi-agent workflows, and human-in-the-loop patterns
• Cloud AI platforms such as Azure AI Foundry, Azure OpenAI, Azure ML, AWS Bedrock, or SageMaker
• Building APIs, microservices, enterprise integrations, and secure applications
• MLOps/LLMOps, CI/CD, Docker, Kubernetes, model evaluation, and production monitoring
• Understanding of AI security, Responsible AI, governance, and model lifecycle management

What will you do?

Design, develop, deploy, and support scalable AI/ML solutions, integrate GenAI capabilities into enterprise applications, build reliable AI workflows, and help move solutions from prototype to production.

Automotive OEM experience is a plus.

Interested or know someone who would be a great fit?