AI and ML Engineer, Senior

$96,600 - $220,000/Yr

Booz Allen Hamilton - Washington, DC

Part-time,Full-time - Senior

Washington, DC

Professional, Scientific, and Technical Services

About the position

We are seeking a highly skilled and experienced Artificial Intelligence and Machine Learning Engineer to join a 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. Join us. The world can't wait.

Responsibilities

• Rapidly build, test, and deploy AI solutions.
• Scrape, clean, process, and govern data.
• Select and apply appropriate ML algorithms and frameworks based on constraints.
• Build sophisticated data and modeling pipelines in a client-facing environment.
• Leverage MLOps tools for deployment, maintenance, and monitoring of AI solutions.

Requirements

• 7+ years of experience with AI and ML applications, including computer vision, natural language processing, anomaly detection, and reinforcement learning.
• Experience with MLOps, including model deployment, monitoring, maintenance, and integrating models into larger systems.
• Proficiency in programming languages such as 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-haves

• 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.

Benefits

• Health insurance coverage.
• Life insurance coverage.
• Disability insurance coverage.
• Financial and retirement benefits.
• Paid leave.
• Professional development opportunities.
• Tuition assistance.
• Work-life programs.
• Dependent care support.