Senior Data Scientist Engineer

Capgemini; Atlanta (GA); Hybrid; USD 103,000 - 129,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision, &

Paid time off

Parental leave

401(k)

Job summary

Capgemini is seeking a Data Scientist with extensive experience in Conversational AI, LLMs, and NLP to design, train, and deploy production AI solutions. You will validate architectures, optimize models, and collaborate with cross-functional teams to align AI with business goals.

Ideal candidates have 9+ years in AI and provide production-ready ML systems using TensorFlow, PyTorch, and Langchain, with cloud deployment across AWS, Google Cloud, or Azure. Hybrid onsite in Atlanta, GA.

Qualifications

• 9+ years of hands-on experience in AI development, data analysis, and machine learning techniques and experience putting Machine Learning models into production.
• Experience using Mlflow or similar tools for lifecycle management of machine learning models.
• Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models.
• Using Generative AI models in production and providing ongoing support.
• Familiar with TensorFlow and PyTorch for NLP, computer vision, and robotics.

Responsibilities

• Builds and trains machine learning models.
• Optimizes performance of AI systems.
• Ensures AI models operate efficiently and scales with data.
• Develops AI-driven solutions to streamline workflows.
• Troubleshoots and improves AI applications.
• Develops AI prototypes and test versions for feedback.

Skills

Conversational AI

LLMs

NLP

Machine Learning

MLOps

Cloud platforms

Mlflow

TensorFlow

PyTorch

Langchain

Tools

Mlflow

TensorFlow

PyTorch

Langchain

Job description

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.Job Location - Atlanta GA (Day One Onsite - Hybrid)Key ResponsibilitiesData Scientist expertise in Conversational AI, LLMs, NLP, and machine learning, with experience training, building and deploying production AI solutions.Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.Ability to perform solution architecture validations for LLMs.Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure for model deployment and scaling.The ability to write clean, efficient, and reusable code is essential in MLOps roles.Collaborates with cross-functional teams.Works with data scientists, product managers, and stakeholders to align AI solutions with business objectives.Builds and trains machine learning models.Optimizes performance.Ensures AI models operate efficiently, making adjustments based on statistical analysis and large data sets.Implements automation.Develops AI-driven solutions to streamline workflows and improve decision-making.Explores advancements in AI.Stays up to date with the latest technologies and frameworks to enhance the functionality and scalability of AI systems.Troubleshoots and improves AI applications.Resolves issues and optimizes systems for better performance and user experience.Develops AI prototypes.Builds initial versions of AI applications for testing and feedback before full-scale deploymentRequired Skills9+ years of hands-on experience in AI development, data analysis, and machine learning techniques and experience putting Machine Learning models into production.Experience using Mlflow or similar tools for lifecycle management of machine learning models.Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models. Using GPTs, Llama, or any other LLMExperience in putting Generative AI (GENAI) models into production and providing support to them.Designs and develops AI systems.Builds algorithms and machine learning models to solve specific challenges across industries.Utilizes tools like TensorFlow and PyTorch to create models for tasks such as NLP, computer vision, and robotics.Life At CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDisclaimerCapgemini 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.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawSalary TransparencyCapgemini 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 $103330 to $128656 /yearly.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.The base compensation range for this role in the posted location is:$103330 to $128656Capgemini 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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.DisclaimersCapgemini 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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini 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.