EEOC

Lead AI & ML Engineer

EEOC

full-time

Posted on:

Location Type: Hybrid

Location: AlabamaFloridaUnited States

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Salary

💰 $128,700 - $292,000 per year

Job Level

Tech Stack

About the role

  • Conduct statistical analyses on business processes using ML techniques
  • Support the usage of artificial intelligence in the government healthcare space
  • Train, test, deploy, and maintain models that learn from data
  • Lead the direction of mission-critical solutions by applying best-fit ML algorithms
  • Introduce leading-edge technologies
  • Collaborate with data scientists, AI solution architects, and cloud engineers to deliver world-class solutions

Requirements

  • 8+ years of experience designing and implementing complex enterprise systems
  • 5+ years of experience in data architecture, solutions architecture, software or cloud engineering, ML engineering, or data management
  • Experience as a solution or enterprise architect emphasizing data and analytics for enterprise infrastructure in a matrixed organization with legacy systems
  • Experience with engineering, including writing code or implementing systems
  • Experience with data governance, integration patterns, and platform scalability in large enterprises
  • Experience with AI and ML or data transformation pipelines or cross-platform integration using AWS, Azure, Databricks, or open-source cloud tools
  • Ability to reason through architectural trade-offs and technical limitations
  • Ability to translate technical concepts for senior stakeholders, build alignment across teams, and create and communicate technical solutions for clients in verbal and written formats
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
Benefits
  • Health, life, disability, financial, and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical analysismachine learningdata architecturesolutions architecturesoftware engineeringcloud engineeringdata managementdata governancedata transformation pipelinescross-platform integration
Soft Skills
leadershipcollaborationcommunicationproblem-solvingtechnical reasoning
Certifications
Public TrustSuitability/Fitness determination