Senior GenAI ML Engineer — Production-Scale AI Systems

Perfect Path; United States; Remote; USD 150,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Medical, dental, and vision insurance

Paid time off including holidays

Opportunities for growth in a rapidly growing organization

Job summary

A leading organization in medical evidence services is looking for a Senior Machine Learning Engineer to design and develop scalable AI systems. This role requires a strong background in Python and cloud platforms, alongside 3-5 years of experience in production applications. Responsibilities include mentoring junior engineers and collaborating with teams for effective ML solutions. Competitive salary ranges from $150,000 to $180,000 annually, plus benefits and bonuses.

Qualifications

• 3-5 years of experience designing, building, and deploying scalable production applications.
• Authorized to work in the United States without requiring sponsorship.
• Hands-on experience with prompt engineering and ML frameworks.

Responsibilities

• Design and implement GenAI systems in production.
• Serve as a subject matter expert for machine learning systems.
• Mentor junior and mid-level engineers.

Skills

Python

Distributed computing

Cloud platforms (AWS, Kubernetes)

Excellent communication

Collaboration skills

Education

Bachelor’s or Master’s degree in Computer Science or Data Science

Tools

AWS (SageMaker, ECS, Lambda)

Terraform

CI/CD frameworks

Job description

A leading organization in medical evidence services is looking for a Senior Machine Learning Engineer to design and develop scalable AI systems. This role requires a strong background in Python and cloud platforms, alongside 3-5 years of experience in production applications. Responsibilities include mentoring junior engineers and collaborating with teams for effective ML solutions. Competitive salary ranges from $150,000 to $180,000 annually, plus benefits and bonuses.