Senior Data Scientist

Capgemini • Nashville, TN

23h

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job DescriptionThe AI Engineer will be responsible for designing, implementing, and operationalizing AI-native services that transform the utility sector. This role combines applied AI/ML expertise with strong backend engineering skills, ensuring our agentic systems are not only functional but scalable, secure, and ready production.

As a key member of our engineering team, you will report directly work with the Data and AI Leader and operate within small, agile teams alongside software engineers, security experts, and product managers. You will own the full lifecycle of AI services — from data ingestion and model training to real-time deployment and monitoring — while continuously adapting to evolving requirements in a fast-moving, high-stakes industry.

Requirements

• Education: Bachelor’s or Master’s in Computer Science, Machine Learning, or related field
• Experience: 5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systems. Track record of deploying AI services in production.
• Proficiency in Python, and Java or Golang
• Experience with Agent platforms
• Expertise with ML/LLM frameworks such as PyTorch, TensorFlow, LangChain, or equivalent.
• Experience with vector databases, orchestration frameworks, and modern MLOps practices.
• Strong grounding in cloud-native architectures (AWS, GCP, Azure).
• Analytical, collaborative, and comfortable with ambiguity. Ability to thrive in small, high-velocity teams, balancing experimentation with production rigor.

Nice To Haves

• Utilities experience a plus

Responsibilities

• AI Systems Development: Architect, fine-tune, and deploy AI agents purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimization.
• Backend Integration: Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows.
• Pipeline Ownership: Design and manage the full AI pipeline — ingestion, embeddings, retrieval, evaluation, and continuous deployment — ensuring reliability and scalability.
• AI Risk Mitigation: Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, hallucination control – with sensitivity to regulated environments.

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
• Number of Employees: 5,001-10,000 employees