AI/ML Engineer/Lead

AppLab Systems, Inc; Minneapolis (MN); Remoto; USD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Leadership

Team management

Healthcare domain experience

Regulated industries

Formazione

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

Strumenti

Python

TensorFlow

PyTorch

scikit-learn

Azure

LLM/GenAI deployment

APIs

Vector databases

RAG architectures

Descrizione del lavoro

Role - AI/ML Engineer/Lead

Location - Minneapolis, MN (Remote)

The Engineering AI/ML Manager (GL 28) is a hands on technical leader responsible for delivering AI/ML solutions from design through production while managing a small team of engineers. This role balances people leadership, technical depth, and delivery accountability, and is ideal for a manager who still codes, reviews designs, and actively guides implementation.

This role supports enterprise AI initiatives across machine learning, generative AI, LLM based solutions, and data driven automation, aligned with healthcare and regulated industry standards.

Key Responsibilities

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Experience with healthcare, payer, or regulated industries.
• Exposure to Responsible AI, model governance, and compliance reviews.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Experience managing mixed onshore/offshore delivery teams.
• 7-10 years of overall engineering experience with 3+ years in AI/ML engineering.
• 2+ years of people or technical team leadership experience.
• Strong hands on experience with:
• Python and ML frameworks (TensorFlow, PyTorch, scikit learn)
• Cloud platforms (Azure preferred)
• ML model deployment and productionization
• Experience building and deploying LLM or GenAI solutions is strongly preferred.
• Solid understanding of data pipelines, APIs, and distributed systems