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Capgemini · 14 hours ago

GenAI Engineer-Data Scientist

Seattle, WA

Full-time

Onsite

Entry Level

1+ years exp

Capgemini is a company that empowers individuals to shape their careers within a collaborative community. They are seeking a passionate and innovative GenAI Engineer/Data Scientist to develop GEN AI solutions and predictive AI models, deploying them in production environments and driving the integration of AI technologies across business operations.

ConsultingInformation TechnologyInsurTechIT ManagementSoftware

H1B Sponsor Likely

Hiring Manager

Khushi N.

Responsibilities

Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment

Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation

Develop generative and predictive AI models (including NLP, computer vision, etc.)

Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions

Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions

Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency

Deploy AI models into production environments, ensuring scalability, performance, and optimization

Monitor and troubleshoot deployed models and pipelines for optimal performance

Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses)

Qualification

Generative AI modelsPredictive AI modelsModel deploymentAPI architectureCloud platformsMLOpsData pipelinesMonitoringTroubleshootingSoft skills

Required

Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role

Experience in model deployment, MLOps, model monitoring, and managing data/model drift

Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion)

Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience

Preferred