Machine Learning Engineer

Job Overview

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 the services, servers, distributed systems, and backend architecture. The successful candidate will conceive and deliver innovative ML solutions for the U.S. Public Sector, and will join the Data and AI practice in the DC Metro Area.

Key Responsibilities

• Deliver high-quality code components that support 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, unstructured) 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 them up.
• Present and articulate findings and solutions to clients and team members.
• Maintain knowledge of advances in ML in industry and academia.
• Collaborate with internal and external stakeholders on business cases requiring object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other use-cases for ML.

Required Qualifications

• U.S. citizenship and an active secret-level security clearance or higher.
• Ability to be on 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 related field (preferred).
• Minimum of two years of professional experience with ML delivery responsibilities such as delivering high-quality code and incorporating AI/ML and computer vision capabilities into solutions and services.
• Experience with object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNet.
• Programming experience in 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 remain flexible in a dynamic work environment.

Nice to Have

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

Compensation & Benefits

The base salary range for this role is $120,000 – $180,000 annually. The role may be eligible for variable compensation, bonus, or commission. Full-time regular employees receive paid time off, medical/dental/vision insurance, 401(k), and other benefits.

Equal Opportunity Employer

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.