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Senior Software Engineer

$73.15k - $174k

Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.


Location


This is a hybrid role based in Chicago, Atlanta, NY, Dallas or Nashville

About the job you're considering


The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.

Job Description - Grade Specific


AI Model Development & Optimization
  • Train and fine-tune machine learning models using LoRA (Low-Rank Adaptation) and other parameter-efficient fine-tuning techniques.
  • Design, develop, train, and evaluate multimodal AI models from the ground up.
  • Apply reinforcement learning (RL) techniques to improve model performance and optimize outcomes.
  • Develop solutions for audio and speech machine learning tasks, including:
    • Speaker diarization
    • Speaker identification
    • Speech-related AI applications
  • Optimize model inference pipelines using techniques such as:
    • TensorRT
    • Quantization
    • Pruning
AI Operations & Production Systems
  • Deploy, troubleshoot, and maintain distributed AI systems in cloud environments.
  • Monitor production models and ensure operational reliability by:
    • Detecting and addressing data drift
    • Managing model degradation
    • Resolving system failures
  • Gather, clean, curate, and maintain high-quality datasets for model training and evaluation.
  • Work within gated Continuous Integration/Continuous Deployment (CI/CD) workflows, ensuring appropriate:
    • Unit testing
    • Component testing
    • Integration testing
Technical Leadership
  • Provide technical leadership and guidance on resolving complex and critical engineering challenges.
  • Apply advanced knowledge of AI engineering theories, practices, and system design principles.
  • Lead initiatives that influence strategic business objectives and future product development.
  • Establish best practices, standards, and architectural guidelines across AI engineering teams.
  • Mentor and support other AI engineers in their professional and technical growth.
Strategic Planning & Collaboration
  • Partner with Product, Operations, and Engineering teams to design and optimize business workflows.
  • Contribute to the development of organizational objectives and technical strategies.
  • Evaluate complex business and technical challenges where solutions require consideration of both tangible and intangible factors.
  • Leverage knowledge of media management strategies and content distribution workflows to enhance platform capabilities.
Required Qualification
  • Extensive experience and deep understanding of digital and broadcast production operations and workflows.
  • 5+ years of experience with AWS Cloud Services.
  • 1+ year of experience with Microsoft Azure Cloud Services.
  • Strong understanding of industry trends, emerging technologies, and best practices.
  • Proven experience creating architecture documentation using the C4 Model and other traditional design artifacts.
  • Experience working in Agile development environments.
  • Demonstrated ability to define technical direction and deliver large-scale, strategic initiatives.
Desired Qualification
  • 7+ years of programming experience in one or more of the following languages:
    • Python
    • Java
    • Golang
    • JavaScript
  • Experience with broadcast production systems or video content management platforms.
  • Familiarity with modern web technologies, including:
    • React
    • Angular
    • JavaScript
    • HTML
    • CSS
  • Experience with Continuous Integration and Continuous Deployment (CI/CD) practices.
  • Knowledge of containerization and orchestration technologies, including:
    • Docker
    • Kubernetes
  • Bachelor's degree in:
    • Computer Science (CS)
    • Electrical Engineering (EE)
    • Or equivalent professional experience.
The base compensation range for this role in the posted location is: $73,150 to $174,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.


Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.


Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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.

Click the following link for more information on your rights as an Applicant in the United States.


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.


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