Associate-AI-ML Engineer / GenAI Engineer - Data Scientist

Capgemini is a global business and technology transformation partner helping organizations accelerate digital and sustainable transformation. The company is seeking a Junior AI-Native Consultant to support AI/ML initiatives in the Energy & Utilities sector, including model development, data preparation, cloud-based solutions, agentic AI workflows, and client-facing collaboration.

What you'll do:

• Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector
• Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions
• Support data collection, cleaning, and preprocessing activities for AI initiatives
• Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services
• Utilize platforms such as Databricks, PySpark, and modern AI frameworks
• Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency
• Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders
• Contribute to project documentation, reports, and client deliverables
• Develop reusable assets, demos, and solution accelerators
• Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape
• Foster a collaborative environment, actively sharing knowledge and best practices within the team

What they're looking for:

• • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field
• • Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles
• • Demonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge
• • Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts
• • Proficiency in at least one AI-centric programming language (e.g., Python)
• • Experience with: + Generative AI concepts (GPT, Claude, LLMs) + MLOps, model deployment, and monitoring + LangChain and Retrieval-Augmented Generation (RAG) concepts + REST APIs, JSON, Authentication, and Integration patterns + Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy) + Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
• • Strong analytical, problem-solving, and critical thinking skills
• • Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations
• • Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment
• • Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD)
• • Experience with any of the following: + data visualization tools and techniques + Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn) + NLP + computer vision + graph database technology (Neo4J, Ontotext) + JIRA / Confluence
• • Prior project or internship experience in a consulting environment

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