AI and ML Engineer

$96,600 - $220,000/Yr

Booz Allen Hamilton - Arlington, VA

posted 5 months ago

Part-time,Full-time - Mid Level
Arlington, VA
Professional, Scientific, and Technical Services

About the position

As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you integral to delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support a variety of high-impact missions across sectors and domains. As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for our firm and clients.

Responsibilities

  • Train, test, deploy, and maintain machine learning models.
  • Conduct statistical analyses on business processes using ML techniques.
  • Collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners.
  • Define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
  • Develop pipelines that optimize the use of infrastructure.
  • Integrate critical technologies into efficient user experiences.
  • Guide clients in navigating the landscape of ML algorithms, tools, and frameworks.

Requirements

  • 6+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics.
  • 3+ years of experience with hiring, developing, and leading engineering and development teams.
  • Experience with software and artificial intelligence (AI) projects.
  • Experience with the programming language Python.
  • Experience with project work in machine learning, deep learning, computer vision, NLP, or chatbot development.
  • Knowledge of modern software design patterns, including microservice design or edge computing.
  • Secret clearance.
  • Bachelor's degree.

Nice-to-haves

  • 3+ years of experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
  • Experience with frameworks, including Huggingface, LangChain, AutoGPT, or AgentGPT.
  • Experience with embedded systems programming in C, C++, or Rust.
  • Experience with GPU programming, including CUDA or RAPIDs.
  • Experience with modern Cloud computing technologies, including Docker and Kubernetes.
  • Ability to gather requirements from customers and lead Agile teams.
  • TS/SCI clearance.
  • Master's degree.

Benefits

  • Wellness programs with HSA contributions.
  • Paid holidays.
  • Paid parental leave.
  • Generous 401(k) match.
  • Flexible schedules and remote/hybrid work options.
  • Professional and leadership development opportunities.
  • Tuition reimbursement.
  • Mentoring and firm-sponsored networking.
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