Senior AI/ML Engineer - Generative AI & MLOps Expert

Ethereum Technologies; Auburn Hills (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Ethereum Technologies in Auburn Hills, MI, is seeking a senior AI/ML engineer to architect and deliver scalable AI/ML solutions across on-prem and cloud environments. You will own end-to-end lifecycle from prototype to production, collaborating with cross-functional teams to meet business objectives.

The role requires deep technical expertise in Python, ML frameworks, and cloud platforms, with strong emphasis on secure, scalable architectures and responsible AI practices.

Qualifications

• 8+ years of IT or software development experience with 4+ years in AI/ML solution development.
• Bachelor's degree or equivalent professional experience in a related field.
• Strong hands-on programming with Python and ML libraries (scikit-learn, PyTorch, TensorFlow).
• Experience with Generative AI, LLMs, embeddings, vector search, RAG, and agentic AI patterns.
• Experience with enterprise AI and cloud platforms (Azure AI Foundry, Azure OpenAI, AWS Bedrock, SageMaker).
• Experience designing APIs, microservices, event-driven architectures, and secure identity protocols (OAuth 2.0, OpenID Connect).
• Experience with relational/NoSQL databases, data lakes, and vector search tech (Azure OpenAI Search, OpenSearch).
• Experience with MLOps, CI/CD, model registries, Docker, Kubernetes, Jira/Confluence.

Skills

AI/ML system design

Cloud platforms

CI/CD

DevOps practices

Agile

Technical communication

Education

Bachelor's degree in CS/Engineering/Data Science/AI/ML

Tools

Python

Docker

Kubernetes

Git

Azure DevOps

Azure/AWS services

OpenAI API

SQL

Job description

Ethereum Technologies in Auburn Hills, MI, is seeking a senior AI/ML engineer to architect and deliver scalable AI/ML solutions across on-prem and cloud environments. You will own end-to-end lifecycle from prototype to production, collaborating with cross-functional teams to meet business objectives.

The role requires deep technical expertise in Python, ML frameworks, and cloud platforms, with strong emphasis on secure, scalable architectures and responsible AI practices.