Machine Learning Engineer

Salary: $120,000 - 180,000 per year Requirements:

• U.S. citizenship and an active Secret-level security clearance or higher are required; an active Top Secret clearance is a plus.
• Ability to work full time at the client site in Washington, DC.
• A bachelors degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or a related field is preferred.
• At least two years of professional experience delivering machine-learning solutions.
• Experience with object detection and computer-vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, or RetinaNet.
• Programming experience in languages such as Python, R, Scala, SQL, JavaScript, C/C++, or Java.
• Experience with libraries and frameworks such as TensorFlow, PyTorch, Spark ML/MLlib, and Jupyter.
• Strong verbal and written communication skills, with the ability to multitask and adapt in a dynamic environment.
• Preferred: Data science, machine learning, AI, or cloud certifications; experience with SDLC and DevOps in IT project teams; big-data ecosystems such as Hadoop, MapReduce, Pig, or Kafka; cloud-based databases, data lakes, and data warehouses; and tools such as Azure Machine Learning and Cognitive Services, AWS SageMaker, Polly, and Rekognition, DataRobot, or H2O.ai.

• Deliver high-quality code components for services, servers, distributed systems, and backend architecture.
• Work with engineers, artists, producers, and designers to integrate AI, machine learning, and computer-vision capabilities into products and services.
• Develop machine-learning solutions by assessing requirements, resources, and available approaches.
• Perform exploratory data analysis, assess data pipelines, and build structured, semi-structured, or unstructured data stores to support frameworks and models.
• Create custom algorithms, frameworks, and models, or apply existing tools and libraries to solve complex problems.
• Deploy machine-learning solutions and develop approaches for scaling them.
• Present findings and explain proposed solutions to clients and team members.
• Keep current with machine-learning advances in industry and academia.
• Collaborate with internal and external stakeholders to identify business applications for machine learning, including object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural-language processing, and fraud detection.

• AI
• AWS
• Azure
• Backend
• Cloud
• DevOps
• Hadoop
• Support
• Jupyter
• Java
• JavaScript
• Kafka
• Machine Learning
• PyTorch
• Python
• SQL
• Scala
• Security
• Spark
• TensorFlow
• Big Data
• Computer Vision
• LESS

More:

We are Capgemini Government Solutions (CGS) LLC, and this role joins our rapidly growing Data and AI practice in the Washington, DC metro area. The position focuses on developing machine-learning solutions for U.S. public-sector clients addressing critical national and global challenges, and supporting clients as they develop, deploy, and modernize data estates and pipelines. We invest in professional growth through training resources, courses offered with Coursera and Degreed, education expense reimbursement, and sponsored seminars, conferences, and certifications. Our practice leaders work with team members on career paths and goals. The role offers a base salary range of $120,000–$180,000, may include variable compensation, bonus, or commission, and eligible full-time employees may receive paid time off, medical, dental, and vision insurance, and a 401(k). Capgemini is a global business and technology transformation partner with approximately 340,000 team members in more than 50 countries, delivering services spanning strategy, design, and engineering, with capabilities in AI, generative AI, cloud, and data.

last updated 40 week of 2026