Machine Learning Engineer

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 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 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 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

Required Qualifications

• 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

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

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Disclaimer

All qualified applicants will be considered for employment based on their skills, and merit.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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 - $180k.

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.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)