Booz Allen Hamilton-posted 3 months ago
$128,700 - $292,000/Yr
Full-time • Senior
McLean, VA
Professional, Scientific, and Technical Services

As an experienced engineer, you know that machine learning 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 mission-critical projects for our Defense clients. As a senior machine learning engineer on our core Palantir team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You'll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers and data consumers that deliver world class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your 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 defense clients. Join us. The world can't wait.

  • Train, test, deploy, and maintain machine learning models.
  • Lead the direction of mission-critical solutions using ML algorithms.
  • Collaborate with stakeholders, data engineers, developers, and data consumers.
  • Develop scalable data pipelines and build robust applications.
  • Integrate various data sources to drive impactful decision-making.
  • 8+ years of experience in data operations such as data science, data engineering, and data platforms, AI / ML, or software development.
  • 5+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization.
  • 5+ years of experience with Python or TypeScript.
  • 5+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems.
  • Ability to work in a fast-paced, Agile environment.
  • Ability to travel up to 20% of the time.
  • Secret clearance.
  • Bachelor's degree.
  • Experience working with different teams within the Department of Defense.
  • Experience working with Databricks.
  • Experience in mission-oriented analytics or logistics-based data environments.
  • Experience with Git-based code repositories and CI / CD workflows.
  • Knowledge of working with Maven Smart Systems, including AIP.
  • Knowledge of DevSecOps best practices and software lifecycle methodologies.
  • Possession of excellent problem-solving skills.
  • Health, life, and disability insurance.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards program.
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