Title:        AI/ML Engineer

Location: Cupertino CA

Duration: Full Time

Job Description:

Vision
The ES team will engage in cutting-edge projects focused on developing and
implementing machine learning (ML) algorithms and models, with a strong emphasis on Generative AI. Responsibilities include data analysis, model training and evaluation, working with large datasets, and integrating generative models into real-world applications. AI/ML engineers collaborate with researchers, engineers, and program/project managers to tackle innovative challenges and drive advancements in
Generative AI.

Key Benefits
• Various teams within EMC/PACE/PI can leverage Generative AI/ML to enhance productivity, automation, and innovation.
• Implementation of state-of-the-art Generative AI/ML models to solve complex EMC problems.
• Improved efficiency in EMC validation and testing through AI-driven approaches.

Your Role:
• Coordinate with teams on the validation and enhancement of Generative AI/ML models.
• Collaborate with EMC and cross-functional teams to diagnose and resolve AI/ML-related software issues.
• Develop and optimize generative AI/ML models to support EMC testing and automation.
• Prepare and execute EMC test plans for AI/ML applications.
• Maintain and optimize the performance of existing and future Generative AI/ML models.
• Develop, customize, and maintain scripts to be used during EMC testing and ML model deployment.

Success Criteria/Definition of Done
• Completion of EMC validation for all requests related to Generative AI applications.
• Successful integration of Generative AI models into supported projects.
• Improved performance and efficiency in EMC test automation using AI/ML.
• Delivery of comprehensive reports and analyses on model performance and
validation.

Technical Requirements
• Expertise in C++ and Python programming.
• Strong background in building, adapting, and fine-tuning Generative AI models (e.g., GANs, VAEs, Diffusion Models).
• Practical experience with deep learning frameworks such as TensorFlow, PyTorch, CoreFlow, Sklearn, etc.
• Familiarity with multimodal LLMs, large-scale model training, and optimization techniques.
• Experience in integrating Generative AI/ML research prototypes into production applications.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Highly motivated with excellent organizational skills.
• 5+ years of relevant experience in AI/ML Software Development or related fields.

Expectations by Phase
1. Discovery/Assignment Prep
• Understanding project goals and AI integration needs.
• Identifying key AI models and strategies.
2. Build Planning and Script Development
• Designing AI pipelines and automation scripts.
3. Data Collection & Model Training
• Gathering large-scale datasets for Generative AI training.
• Implementing and fine-tuning Generative AI models.
4. Data Analysis & Model Evaluation
• Evaluating AI model performance and effectiveness.
• Running comparative analyses for improvement.
5. Report Generation & Review
• Preparing comprehensive reports on AI model validation.
• Collaborating with engineers for optimization.
6. Pipeline Maintenance & Continuous Improvement
• Ensuring robustness and scalability of AI solutions.
• Refining AI models based on test results and feedback.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities &

Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, 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

Capgemini 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.

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Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.