Capgemini Government Solutions | Computer Vision Software Engineer TX at Capgemini Government Solutions

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 increases 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 collaborators to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other 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

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 120k-200k.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.