AI and ML Engineer, Senior

1 week ago

Washington, Washington, D.C., United States Booz Allen Hamilton Full time
The Opportunity

We are seeking a highly skilled and experienced Artificial Intelligence and Machine Learning Engineer to join our team dedicated to rapidly building, testing, and deploying cutting-edge AI solutions. Our team is looking for a hands-on subject matter expert with all processes related to data, including scraping, cleaning, processing, and governance. The ideal candidate should have a solid grasp on the differences between various ML algorithms and frameworks, as well as when to select and apply the best ML approach given a set of constraints. This candidate should also have extensive experience building sophisticated data and modeling pipelines in a client-facing environment. The ideal candidate also has experience leveraging MLOps tools to deploy, maintain, and monitor AI solutions across a variety of client spaces.

Key Responsibilities
  • Design and develop AI and ML solutions to meet client needs
  • Collaborate with cross-functional teams to integrate AI and ML solutions into larger systems
  • Develop and maintain data pipelines to support AI and ML solutions
  • Implement and deploy MLOps tools to support AI and ML solutions
  • Monitor and maintain AI and ML solutions to ensure optimal performance
Requirements
  • 5+ years of experience as a machine learning engineer, data engineer, or data scientist
  • 3+ years of experience with AI and ML applications, including computer vision, natural language processing, anomaly detection, and reinforcement learning
  • Experience with programming languages, including Python, R, Java, or C++
  • Experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and scikit-learn
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques
  • Ability to work in a fast-paced, collaborative environment
  • Ability to explain complex technical concepts to non-technical stakeholders
  • DHS Suitability
  • Bachelor's degree
Nice to Have
  • Experience with MLOps, including model deployment, monitoring, maintenance, and integrating models into larger systems
  • Experience architecting and deploying generative AI solutions, such as large language models (LLMs)
  • Experience with CI/CD pipelines, such as AWS CodePipeline, Jenkins, or GitHub Actions
  • Experience with model serving solutions, such as AWS SageMaker, KServe, or Seldon Core
  • Experience with infrastructure as code technologies, including Terraform, Pulumi, or Ansible
  • Master's degree
Vetting

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; DHS Suitability is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220, annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment

We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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