Remote Lead AI Engineer - Production ML & Data

Maximus

Boston (MA)

Remote

USD 180,000 - 200,000

Full time

14 days+

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Job summary

Maximus is seeking a Lead AI Engineer to drive AI/ML solutions across our enterprise and government programs. This is a hands-on, senior individual contributor role focused on designing, building, and deploying production AI algorithms with real data.

The position is remote, with responsibilities spanning architecture decisions, deployment, and continuous improvement. The candidate should have 10+ years in the field, strong cloud experience, and a track record of shipping algorithms to

Qualifications

  • Bachelor's degree in a relevant field and 10+ years of professional experience.
  • 7+ years building production algorithms with real data.
  • 5+ years designing or building cloud solutions.
  • 3+ years of AI/ML or related technologies.
  • Ability to communicate technical decisions clearly to diverse audiences.
  • US Citizen and able to obtain a Public Trust.

Responsibilities

  • Lead, develop, and advance AI, ML, mathematical, and data science solutions enterprise-wide.
  • Own difficult technical problems from exploration to deployment and operation.
  • Write high-quality software and contribute to enterprise capabilities.
  • Build AI-enabled applications integrating models, data, cloud services, and APIs.
  • Mentor staff in algorithm development and solution enhancements.
  • Create playbooks, best practices, and reusable components.

Skills

Python
Rust/Go/C++
Distributed systems
Cloud-native
Signal processing
AI models from scratch
LLMs / ML services
Security & regulatory

Education

Bachelor's degree in relevant field

Tools

AWS
Azure
GCP

Job description

Maximus is seeking a Lead AI Engineer to drive AI/ML solutions across our enterprise and government programs. This is a hands-on, senior individual contributor role focused on designing, building, and deploying production AI algorithms with real data.

The position is remote, with responsibilities spanning architecture decisions, deployment, and continuous improvement. The candidate should have 10+ years in the field, strong cloud experience, and a track record of shipping algorithms to

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