Job description:

　　We are seeking a highly skilled and creative Generative AI Engineer to join our AI Development team. As a Gen AI Engineer, you will play a pivotal role in designing, developing, and deploying generative AI models that produce creative and novel content, including text, images, and more at scale. You will collaborate with cross-functional teams and leverage powerful AI techniques to create innovative solutions that push the boundaries of generative AI.

　　Key responsibilities:

　　Continuous Learning:

　　Research the latest advancements in generative AI, staying up-to-date with powerful techniques and models;

　　Understand the advantages of each generative AI model on the market, including token limits, cost structure, ease of use, commercial availability, ability to fine tune and data privacy.

　　Data Preprocessing:

　　Prepare and preprocess data in the cloud and on distributed systems to train generative models, ensuring data quality and compatibility with the chosen model.Model Training:

　　Design and develop generative models based on innovative neural network architectures;

　　Train and fine-tune/p-tune/prompt-engineer generative models using large and sophisticated datasets;

　　Experiment with model hyperparameters, embeddings, architectures, and training methodologies to optimize model performance;

　　Supervise model training and make adjustments to optimize model performance.

　　Evaluation and Testing:

　　Develop evaluation metrics and conduct rigorous testing to assess the quality and creativity of generated content;

　　Implement strategies to prevent and address common generative AI issues, such as mode collapse, bias, guardrails, and hallucinations.

　　Model Deployment:

　　Deploy generative models in cloud and on-prem production environments to ensure scalability, efficiency, low latency, and optimized compute costs;

　　Collaborate with DevOps and engineering teams to integrate models into software applications and systems.

　　Collaboration:

　　Work closely with cross-functional teams, including data scientists, software engineers, end users and product managers, to understand project requirements and objectives;

　　Participate in collaborative brainstorming sessions and contribute creative ideas for potential applications of generative AI.

　　Required Skills

　　Bachelor's degree in computer science, math, statistics, engineering, physics, or a related quantitative field (Master's or Ph.D. preferred);

　　Proven experience in developing generative AI models and projects;

　　Proficiency in programming languages such as Python and deep learning frameworks such as TensorFlow or PyTorch;

　　Deep understanding of generative models, deep learning architectures, and neural networks;

　　Experience with data preprocessing and data wrangling techniques;

　　Knowledge of model deployment and cloud services (e.g., AWS, Azure, GCP);

　　Excellent problem-solving skills and the ability to work both independently and as part of a team;

　　Strong communication and presentation skills;

　　A passion for exploring the creative possibilities of generative AI.

　　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

　　Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 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.

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

　　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.

　　Job: Project Manager

　　Organization: I&D

　　Title: Managing Consultant - Senior Data Scientist

　　Location: TX-Houston

　　Requisition ID: 074444