GenAI & AI/ML Framework Specialist

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 : New York, NY / Arlington, VA (Onsite/Hybrid from Day 1)

Job Description

We are seeking a highly skilled GenAI & AI/ML Framework Specialist to design, develop, and scale next-generation Artificial Intelligence solutions. This role will focus on building advanced machine learning and Generative AI applications, optimizing open-source AI frameworks, and integrating AI-powered capabilities into enterprise platforms.

The ideal candidate will possess deep expertise in AI/ML frameworks, Large Language Models (LLMs), MLOps, cloud platforms, and modern data infrastructure. You will work closely with product, engineering, and data science teams to deliver high-performance, production-ready AI solutions that drive business value.

Key Responsibilities

• Design and implement Generative AI solutions using LLMs, RAG, prompt engineering, and fine-tuning techniques.
• Develop, train, and optimize machine learning and deep learning models.
• Build scalable AI/ML pipelines for data processing, model training, and deployment.
• Integrate AI models into enterprise applications and production environments.
• Improve model inference performance, scalability, and cost efficiency.
• Collaborate with cross-functional teams to deliver AI-driven business solutions.

Required Skills

• Expertise in PyTorch, TensorFlow, or JAX .
• Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM .
• Strong Python programming skills.
• Solid understanding of machine learning, deep learning, Transformers, CNNs, and RLHF.
• Experience with vector databases (Pinecone, ChromaDB, Milvus) and SQL/NoSQL databases.
• Knowledge of MLOps tools such as MLflow, Kubeflow, or Triton Inference Server.
• Experience with cloud platforms such as AWS SageMaker, Azure AI, or GCP Vertex AI , and GPU acceleration (CUDA).

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline.
• Minimum 8 years of experience in Data Science, Machine Learning Engineering, or AI Engineering.
• At least 2 years of hands-on experience in Generative AI , including LLM-based solutions and enterprise AI deployments.
• Proven experience designing, developing, and deploying production-grade AI/ML applications.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate effectively in a fast-paced, cross-functional environment.

Preferred Qualifications

• Experience with enterprise-scale AI transformation initiatives.
• Knowledge of model governance, responsible AI, and AI security frameworks.
• Experience working with multi-modal AI applications involving text, image, audio, or video models.
• Exposure to distributed training, model compression, quantization, and inference optimization techniques.
• Familiarity with agentic AI architectures and autonomous workflow orchestration.

The base compensation range for this role in the posted location is: 85786- 105237

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.

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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.