Machine Learning Engineer

Capgemini
Washington, DC
Job Description
Role Overview

Deliver high-quality code components to power services, servers, distributed systems, and backend architecture. Conceive and deliver innovative ML solutions to the U.S. Public Sector to help address critical national and global challenges.

What You Will Do

Deliver high-quality code components, incorporate AI, machine learning, and computer vision capabilities into solutions and services, and deploy ML solutions and develop methodologies to scale up.

Why It Might Be a Fit

The successful candidate will have the opportunity to work with industry-leading Engineers, Artists, Producers, and Designers, and maintain knowledge of advances of ML in industry and academia.

Requirements

  • U.S. Citizenship and an active secret level security clearance or higher
  • Ability to be at client site full time in Washington, DC
  • Bachelor’s degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field
  • Minimum of two (2) years of professional experience with machine learning-delivery responsibilities
  • Experience in object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNet
  • Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java
  • Experience using libraries and frameworks such as TensorFlow, PyTorch, Spark ML/MLlib, and Jupyter
  • Excellent verbal and written communication skills
  • Ability to multi-task and stay flexible in a dynamic work environment

Benefits

  • Education expense reimbursements
  • Sponsor seminars, conferences, and certifications
  • Paid time off
  • Medical/dental/vision insurance
  • 401(k)
  • Other benefits to eligible employees
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