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# Machine Learning Engineer

- **Company:** Capgemini
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Optical Character Recognition (OCR), Computer Vision, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing, Information Systems, Computer Programming, Databases, Data Stores, Data Warehousing, DevOps, Distributed Systems, Fraud Prevention and Detection, Apache Hadoop, MapReduce, Python (Programming Language), Machine Learning, Microsoft Software, Natural Language Processing, Object Detection, Pattern Recognition, Systems Development Life Cycle, Tensorflow, Scala (Programming Language), SQL Databases, Pytorch, Apache Spark, Distributed Programming, Jupyter, Spark Mllib, Data Lakes, Information Technology, DataRobot, Apache Kafka, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://diversityjobs.com/career/18576102/Machine-Learning-Engineer-Virginia-Mclean

## About the Role

ITC Digital Solutions is seeking a highly motivated Machine Learning (ML) Engineer with an active security clearance to deliver high-quality code components to power the services, servers, distributed systems, and backend architecture. The successful candidate will have the opportunity to conceive and deliver innovative ML solutions to the U.S. Public Sector to help address critical national and global challenges. This individual will join our Data and AI practice in the DC Metro Area. As a part of the rapidly expanding ITC Data and AI practice, the candidate will also help our clients develop, deploy, and modernize their data estates and pipelines., * U.S. Citizenship and an active secret level security clearance or higher is required

 * 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 preferred

 * Minimum of two (2) years of professional experience with machine learning-delivery responsibilities such as:

 * Deliver high-quality code components to power services, servers, distributed systems, and backend architecture
 * Incorporate the AI, machine learning, and Computer vision capabilities into solutions and services

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

Nice to have skills/qualifications

 * Active TS clearance
 * Data Science, ML, AI, or Cloud certifications
 * Experience working in an IT project team following SDLC and DevOps methodologies
 * Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka
 * Experience with designing and building cloud-based databases, data lakes, and data warehouses
 * Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai

## Description

As a ML Engineer you will:

 * Deliver high-quality code components that will power the 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 of ML in industry and academia

 * As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML