AI/ML Lead Engineer (Remote) - GenAI, Production ML

AppLab Systems, Inc; Minneapolis (MN); Remote; USD 140,000 - 200,000; Full time

Job summary

AppLab Systems, Inc. seeks an AI/ML Engineer/Lead to drive enterprise AI initiatives in Minneapolis, balancing hands-on coding with people leadership. You will guide design, review architectures, and shepherd models from prototype to production in regulated healthcare settings.

The role requires 7–10 years in engineering with 3+ years in AI/ML, plus 2+ years leading teams. Experience with Python, ML frameworks, Azure, and GenAI deployments is highly valued.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• Experience in healthcare, payer, or regulated industries.
• Exposure to Responsible AI, model governance, and compliance reviews.
• Experience leading mixed onshore/offshore delivery teams.
• 7-10 years of engineering experience with 3+ years in AI/ML.
• 2+ years of people or technical team leadership.
• Hands-on Python and ML frameworks, cloud platforms, and productionization.

Responsibilities

• Deliver AI/ML solutions from design through production.
• Manage a small team of engineers and guide implementation.
• Balance people leadership with technical depth and coding practice.
• Review designs and provide hands-on technical guidance.
• Support enterprise AI initiatives with LLM/GenAI, data pipelines, and APIs.

Skills

Leadership

Team management

Healthcare domain experience

Regulated industries

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Python

TensorFlow

PyTorch

scikit-learn

Azure

LLM/GenAI deployment

APIs

Vector databases

RAG architectures

Job description

AppLab Systems, Inc. seeks an AI/ML Engineer/Lead to drive enterprise AI initiatives in Minneapolis, balancing hands-on coding with people leadership. You will guide design, review architectures, and shepherd models from prototype to production in regulated healthcare settings.

The role requires 7–10 years in engineering with 3+ years in AI/ML, plus 2+ years leading teams. Experience with Python, ML frameworks, Azure, and GenAI deployments is highly valued.