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Data Scientist/ AI Engineer

Capgemini · Denver, United States

About this role

Capgemini seeks a Data Scientist/ AI Engineer to design, develop, deploy, and maintain production-grade generative and predictive AI solutions that deliver business value. The role description specifies Denver, CO, although the posting header lists Irving; the working arrangement is not stated.

Responsibilities

  • Develop generative AI solutions using GPT, Claude, and Stable Diffusion, alongside predictive models for regression, classification, and clustering.
  • Integrate AI applications through REST APIs, authentication, JSON services, and cloud-based architectures. Build and support AI agents, autonomous systems, and agentic workflows.
  • Deploy, monitor, troubleshoot, and optimize production models using MLOps practices, including model performance and data/model drift monitoring.
  • Design and maintain data pipelines, data lakes, and data warehouses. Work with business and technical teams to align solutions with organizational objectives, and create reusable assets, demos, and proofs of concept.

Required qualifications and skills:

  • A bachelor's degree or higher in AI, Machine Learning, Computer Science, or a related field, plus 3–5 years of experience in AI, machine learning, data science, or application development.
  • Hands-on expertise in generative AI, machine learning, Python, cloud technologies, APIs, MLOps, data engineering, and AI agents; experience with production AI deployments and model monitoring.
  • Listed technologies and practices include LangChain, TensorFlow, PyTorch, Scikit-learn, retrieval-augmented generation, HTTP requests, authentication and tokens, error handling, and debugging.

Compensation and benefits:

The stated base compensation range for the posted location is $90,000–$140,000. The position is listed as permanent. Depending on eligibility and local policy, benefits for regular full-time employees may include paid time off, healthcare coverage, retirement savings plans, life and disability insurance, and employee assistance programs. Additional variable compensation may be available.

Skills for this role

Generative AIMachine LearningPythonGPTClaudeStable DiffusionLangChainTensorFlowPyTorchScikit-learnRetrieval-Augmented GenerationAI agentsAgentic workflowsRegressionClassificationClusteringMLOpsModel monitoringData engineeringData pipelinesData lakesData warehousesCloud platformsAPI developmentREST APIsJSONHTTP requestsAuthenticationDebuggingModel drift monitoring

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