Generative AI Engineer, Mid

$75,600 - $172,000/Yr

Booz Allen Hamilton - Bethesda, MD

posted 5 months ago

Part-time,Full-time - Mid Level
Bethesda, MD
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 an integral part of 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 an ML engineer, you'll build pipelines to 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 our clients. Join us. The world can't wait.

Responsibilities

  • Build pipelines to train, test, deploy, and maintain machine learning models.
  • Define the direction of mission-critical solutions using ML algorithms and technologies.
  • Collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners.
  • Deliver solutions to real-world problems by processing data at a massive scale.
  • Optimize the use of infrastructure through effective pipeline development.
  • Guide clients in navigating ML algorithms, tools, and frameworks.

Requirements

  • 3+ years of experience with artificial intelligence, data science, ML engineering, data research, or data analytics.
  • Experience with Generative AI, including transformers or LLM project work.
  • Experience with Huggingface, LangChain, or AutoGPT.
  • Experience with software and artificial intelligence projects.
  • Proficiency in a programming language, including Python, Scala, or Java.
  • Experience with project work in deep learning, computer vision, NLP, or generative AI.
  • Experience with modern Cloud containerization technologies, including Docker or Kubernetes.
  • Knowledge of modern software design patterns, including microservice design or edge computing.
  • Ability to obtain a security clearance.
  • Bachelor's degree.

Nice-to-haves

  • Experience with LLMOps, DevOps, or MLOps.
  • Experience with embedded systems programming in C, C++, or Rust.
  • Experience with GPU programming, including CUDA or RAPIDs.
  • Ability to gather requirements from customers and lead Agile teams.
  • Master's degree in Computer Science or Statistics.

Benefits

  • Paid parental leave
  • Paid holidays
  • Tuition assistance
  • Tuition reimbursement
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