Ai & Ml Engineer, Mid

Booz Allen Hamilton

Multiple Locations, US
Base: $77,500.00 to $176,000.00; bonus/equity: not...
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Mlops pipelines and containerized solutions
Enterprise ml workflows
Apply ml and deep learning
** Booz Allen Hamilton is seeking a Mid-level AI & ML Engineer to support civil engineering clients within the Department of War. The role involves developing and deploying machine learning solutions, with a focus on enterprise-level MLOps workflows, while collaborating closely with clients to address their data challenges. **

Job Summary

  • As an AI and ML engineer, you understand the need for robust, scalable tools that enable efficient ML workflows at the enterprise level, enabling data scientists to build, test, and deploy models at scale.
  • In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
  • Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Matching Summary

Match Score: 75

** Booz Allen Hamilton is seeking a Mid-level AI & ML Engineer to support civil engineering clients within the Department of War. The role involves developing and deploying machine learning solutions, with a focus on enterprise-level MLOps workflows, while collaborating closely with clients to address their data challenges. **

Salary

Base: $77,500.00 to $176,000.00; Bonus/Equity: Not specified; Benefits: Health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Skills & Requirements

Must-have

  • MLOps pipelines and containerized solutions
  • enterprise ML workflows
  • apply ML and deep learning
  • AWS or Azure cloud technologies
  • object-oriented language (Python, C, or Java)

Nice-to-have

  • Generative AI and LLM tools
  • modern Cloud containerization computing
  • GPU programming (CUDA or RAPIDs)
  • addressing functional, technical, and performance requirements
  • evaluating architectural tradeoffs

Key Requirements

  • 1+ years of experience with data science, machine learning engineering, data analytics, or data research
  • 1+ years of experience with an object-oriented language
  • Experience with AWS or Azure cloud technologies
  • Experience building data science and AI or ML solutions
  • Experience with MLOps open-source and COTS products
  • Experience with projects in NLP, generative AI, or deep learning focus
  • Ability to design environments that support MLOps pipelines
  • Ability to work in a team environment
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Work Rights

Ability to obtain a Secret clearance

Tailored Resume

Cover Letter