Applied AI Engineer — End-to-End ML in Production

Protech Talent; United States; On-site; USD 160,000 - 300,000; Full time

Job summary

A growing AI-driven healthcare startup is seeking an Applied AI Engineer to lead projects from model selection to deployment. This role includes building ML systems for automation and prediction while collaborating with product and engineering teams. Ideal candidates have 1–15 years of experience in AI/ML, proficiency in frameworks like PyTorch and TensorFlow, and a degree in a related field. This full-time position offers opportunities for high accountability and innovation.

Qualifications

• 1–15 years as an AI / ML Engineer, Applied Scientist, or ML Research Engineer.
• Hands-on experience building and deploying ML systems in production.
• Background at a top-tier tech or early-stage startup that has shipped AI-powered products.

Responsibilities

• Build and productionize ML and LLM-based systems that power automation.
• Collaborate with stakeholders to scope, design, and deploy AI-driven features.
• Evaluate new methods and improve model reliability and accuracy.

Skills

Proficiency with modern ML frameworks

Experience fine-tuning large-language-model systems

Strong written and verbal communication

Experience building and deploying ML systems

Education

Degree in CS or related field from a top program

Tools

PyTorch

TensorFlow

AWS

Job description

A growing AI-driven healthcare startup is seeking an Applied AI Engineer to lead projects from model selection to deployment. This role includes building ML systems for automation and prediction while collaborating with product and engineering teams. Ideal candidates have 1–15 years of experience in AI/ML, proficiency in frameworks like PyTorch and TensorFlow, and a degree in a related field. This full-time position offers opportunities for high accountability and innovation.