Computer Vision Software Engineer

Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Computer Vision Software Engineer to develop software which integrates computer vision and other machine learning tasks into a centralized system. The successful candidate will have the opportunity to conceive and deliver innovative computer vision solutions to the U.S. Public Sector to help address critical national and global challenges such as health, climate change and national security. This individual will join our Data and AI practice in the DC Metro Area but with the flexibility to work from home if outside of DC Metro Area. As a part of the rapidly expanding CGS Data and AI practice, the candidate will also help our 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. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what’s possible to the Federal Government.

Job Responsibilities

As a Computer Vision Software Engineer you will:

• Develop software which integrates computer vision and other machine learning tasks into a centralized system
• 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 computer vision-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 data science solutions and develop methodologies to scale up
• Present and articulate findings and present solutions to clients and team members
• Maintain knowledge of advances of computer vision 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 computer vision

Required Qualifications

• U.S. Citizenship is required
• Eligible to obtain and maintain a Government Security Clearance

• 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:
• Develop software which integrates computer vision and other machine learning tasks into a centralized system
• Deliver high-quality code components to power services, servers, distributed systems, and backend architecture
• Partner with industry-leading Engineers, Artists, Producers and Designers
• Incorporate the AI, machine learning, and Computer vision capabilities into solutions and services
• Experience working in an IT project team following SDLC and DevOps methodologies
• 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 Government Security clearance
• Data Science, ML, AI, or Cloud certifications
• 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