Lead AI Engineer - Production ML & Systems (Remote)

Maximus; Atlanta (GA); Remote; USD 180,000 - 200,000; Full time

Job summary

Maximus seeks a Lead AI Engineer to drive data science and algorithms across government programs. This remote role emphasizes on-building and refining production AI solutions, mentoring staff, and translating technical decisions for diverse stakeholders.

Required: 10+ years in relevant fields, strong Python and systems programming skills, cloud experience (AWS/Azure/GCP), and a track record of production deployments.

Qualifications

• Bachelor's degree in a relevant field and 10+ years of professional experience.
• 7+ years in advanced algorithm building and data science with production systems.
• 7+ years in data science or advanced algorithm work, with cloud experience.
• 5+ years designing solutions in cloud environments.
• 3+ years in AI/ML or related tech and production deployment.
• Experience deploying algorithms outside notebooks on production systems.
• Ability to communicate technical decisions clearly to non-technical teams.
• US Citizen able to obtain a Public Trust.

Responsibilities

• Design, build, and improve production AI solutions.
• Own difficult technical problems from exploration to deployment and steady-state.
• Write high-quality software for enterprise capabilities.
• Build AI-enabled applications integrating data, cloud services, APIs, and existing systems.
• Improve AI solutions with holistic algorithmic improvements.
• Evaluate emerging AI tech through hands-on experiments for production value.
• Create reusable components and reference implementations for teams.
• Mentor staff through solutioning and algorithm enhancements.

Skills

Python

Rust/Go/C++

Distributed systems

Signal processing

AI models from scratch

Mentoring staff

Production algorithms

Cloud deployment

Education

Bachelor's degree

Tools

AWS/Azure/GCP

SageMaker

Job description

Maximus seeks a Lead AI Engineer to drive data science and algorithms across government programs. This remote role emphasizes on-building and refining production AI solutions, mentoring staff, and translating technical decisions for diverse stakeholders.

Required: 10+ years in relevant fields, strong Python and systems programming skills, cloud experience (AWS/Azure/GCP), and a track record of production deployments.