Senior AI/ML Engineer: Build Models & AI Platform

Hollstadt Consulting; Minnesota; On-site; USD 150,000 - 210,000; Full time

Job summary

Hollstadt Consulting seeks a Senior ML/AI Engineer in Minnesota to bridge data science and platform engineering within our AI Center of Excellence. You will train and deploy production ML models, ship GenAI features, and help build the shared AI infrastructure.

You will own model evaluation, RAG pipelines, embeddings, and production-grade Python services on AWS, collaborating across teams to set patterns and mentor others.

Qualifications

• 5+ years building and shipping ML/AI systems in production
• Strong data science fundamentals: feature engineering, metrics, validation
• Experience building ranking, scoring, or survival models
• Hands-on GenAI/LLM engineering: embeddings, vector search, prompts
• Excellent Python for production-grade APIs/services
• AWS experience: Bedrock/SageMaker, Lambda, S3; containers (Docker)

Responsibilities

• Train and evaluate ML models with robust metrics and validation
• Integrate models into decision systems with business rules and LLM reasoning
• Design and deploy LLM-powered features (RAG, agents, extraction, summarization)
• Build and extend AI platform infrastructure, gateways and SDKs
• Own embeddings, vector stores, retrieval quality, grounding strategies
• Develop offline/online evaluation, guardrails, and MLOps tooling
• Productionize pipelines as observable services (Python, containers, AWS)
• Lead technically: set patterns, review designs, mentor engineers

Skills

ML fundamentals

Python

AWS Bedrock/SageMaker

LLM/RAG engineering

Model evaluation

Tools

Docker

Open source ML libs

Job description

Hollstadt Consulting seeks a Senior ML/AI Engineer in Minnesota to bridge data science and platform engineering within our AI Center of Excellence. You will train and deploy production ML models, ship GenAI features, and help build the shared AI infrastructure.

You will own model evaluation, RAG pipelines, embeddings, and production-grade Python services on AWS, collaborating across teams to set patterns and mentor others.