Machine Learning Engineer

Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Machine Learning (ML) Engineer with an active security clearance to deliver high‑quality code components to power services, servers, distributed systems, and backend architecture. The successful candidate will conceive and deliver innovative ML solutions for the U.S. Public Sector to help address critical national and global challenges. This position is located in the DC Metro Area and is part of the rapidly expanding CGS Data and AI practice, which helps clients develop, deploy, and modernize their data estates and pipelines.

At Capgemini, we are committed to our staff’s professional development and offer a wide range of training and educational resources, including partnerships with Coursera and Degreed. We provide education expense reimbursements and sponsor seminars, conferences, and certifications to help you grow in your career.

• Deliver high‑quality code components that power services, servers, distributed systems, and backend architecture for Microsoft products.
• Partner with industry‑leading engineers, artists, producers, and designers.
• Incorporate the latest AI, machine‑learning, and computer‑vision capabilities into the design of Microsoft products and services.
• Drive ML‑related solutions based on evaluation of requirements, resources, and alternatives.
• Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi‑structured, and unstructured) as needed to feed frameworks/models.
• Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems.
• Deploy ML solutions and develop methodologies to scale up.
• Present and articulate findings and present solutions to clients and team members.
• Maintain knowledge of advances in ML in industry and academia.
• Collaborate with internal and external stakeholders to identify business cases for using ML, including object detection, OCR, automation, predictive modeling, pattern analysis, NLP, and fraud detection.

• U.S. citizenship and an active secret‑level security clearance (or higher) is required.
• Ability to be at a 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 a similar field (preferred).
• Minimum of two (2) years of professional experience with machine‑learning delivery responsibilities, including: delivering code components to power services, incorporating AI/ML/computer‑vision capabilities into solutions, and experience with object detection and computer‑vision models such as YOLO, MM Detection, R‑CNN, SSD, FPN, and Retina Net.
• Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java.
• Experience using libraries and frameworks such as Tensor Flow, PyTorch, Spark ML/MLlib, and Jupyter.
• Excellent verbal and written communication skills.
• Ability to multi‑task and remain flexible in a dynamic work environment.

• Active TS clearance.
• Data science, ML, AI, or cloud certifications.
• Experience working in an IT project team following SDLC and Dev Ops methodologies.
• Experience with big‑data distributed programming languages and ecosystems such as Hadoop, Map Reduce, Pig, or Kafka.
• Experience designing and building cloud‑based databases, data lakes, and data warehouses.
• Experience with Azure Machine Learning and Cognitive Services, AWS Sage Maker, Polly, Rekognition, Data Robot, or H2O.ai.

Capgemini is a global business and technology transformation partner that helps organizations accelerate their transition to a digital and sustainable world. With over 55 years of heritage and more than 340,000 team members across more than 50 countries, Capgemini unlocks the value of technology to address the full breadth of clients’ business needs, delivering end‑to‑end services and solutions powered by AI, generative AI, cloud, and data expertise.

Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities.

All qualified applicants…