Energy AI/ML Data Scientist – Generative & Predictive AI

Capgemini; Houston (TX); On-site; USD 54,000 - 122,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, vision

401(k)

Job summary

Capgemini in Houston is seeking an enthusiastic AI/ML Engineer to join our Energy & Utilities team. You will contribute to AI-driven projects, deploying models and integrating with client environments. Collaboration with consultants and clients is key to delivering impactful technology solutions.

The role emphasizes Generative AI, data prep, and scalable analytics using Databricks, PySpark, and cloud services. Strong communication and Agile teamwork are essential.

Qualifications

• Bachelor’s or Master’s in CS/AI/Data Science or related field.
• Minimum 2 years of work experience in data science/AI/ML.
• Experience in Energy & Utilities sector preferred.
• Strong foundation in AI/ML/DL concepts.
• Proficiency in Python and AI-centric languages.

Responsibilities

• Collaborate with senior consultants and client teams to identify AI opportunities.
• Design, develop, and deploy AI/ML models including Generative AI solutions.
• Support data collection, cleansing, validation, and preprocessing for AI initiatives.
• Work with Azure, AWS, and GCP cloud services for AI workloads.
• Utilize Databricks, PySpark, and modern AI frameworks for analytics.
• Develop agentic AI workflows and intelligent agents to automate processes.
• Design Retrieval‑Augmented Generation (RAG) solutions with modern AI tech.

Skills

AI/ML Engineering

GenAI

Data Scientist

Python

Cloud platforms

Communication

Agile/Scrum

Education

Bachelor’s or Master’s degree in CS/AI/Data Science

Tools

Databricks

PySpark

REST APIs

Docker

Azure

GCP

AWS

Job description

Capgemini in Houston is seeking an enthusiastic AI/ML Engineer to join our Energy & Utilities team. You will contribute to AI-driven projects, deploying models and integrating with client environments. Collaboration with consultants and clients is key to delivering impactful technology solutions.

The role emphasizes Generative AI, data prep, and scalable analytics using Databricks, PySpark, and cloud services. Strong communication and Agile teamwork are essential.