Data Scientist/ AI Engineer

Capgemini • Brisbane, CA

2d • $90,000 - $160,000 • Onsite

About The Position

The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation.

Requirements

• A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
• Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
• 3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
• Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.
• GPT, Claude LLM, Stable Diffusion
• LangChain
• TensorFlow
• PyTorch
• Scikit-learn
• RAG (Retrieval-Augmented Generation)
• AI Agents & Agentic Workflows
• API Development
• REST APIs
• JSON
• HTTP Requests
• Authentication & Tokens
• Error Handling & Debugging

Responsibilities

• Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
• Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
• Build and support AI agents, autonomous systems, and agentic workflows.
• Deploy, monitor, and optimize AI models in production using MLOps practices.
• Design and maintain data pipelines, data lakes, and data warehouses.
• Monitor model performance, troubleshoot issues, and manage data/model drift.
• Collaborate with business and technical teams to align AI solutions with organizational objectives.
• Create reusable assets, demos, and proof-of-concepts to support innovation and business development.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level