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.

Get The Future You Want | www.capgemini.com

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)