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Senior Data Analyst - Senior Data Scientist
Senior Data Analyst - Senior Data Scientist-November 2024
Abilene
Nov 12, 2026
ABOUT CAPGEMINI
We focus on helping drive value for our customers in three key areas: customer experience, intelligent industry, and enterprise management.
10,000+ employees
Consulting, Information Technology
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About Senior Data Analyst - Senior Data Scientist

  Job description:

  We are seeking a highly skilled and creative Generative AI Developer/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 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 Relief

  About Capgemini[MMH1]

  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.

  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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