AI/ML Engineer / GenAI Engineer / Data Scientist Overview Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients.
We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills.
Key Responsibilities • 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.
Required Qualifications • 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.
• 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: o Generative AI concepts (GPT, Claude, LLMs)
o MLOps, model deployment, and monitoring
o LangChain and Retrieval-Augmented Generation (RAG) concepts
o REST APIs, JSON, Authentication, and Integration patterns
o Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
o 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.
Preferred Qualifications • Prior experience specifically with OFSC (Oracle Field Service Cloud), or general Oil & Gas industry knowledge.
• Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
• Experience with any of the following:
o data visualization tools and techniques
o Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)
o NLP
o computer vision
o graph database technology (Neo4J, Ontotext, etc.)
o JIRA / Confluence
• Prior project or internship experience in a consulting environment.
Job Description
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Job Description - Grade Specific
The primary responsibilities involves assisting with data cleaning, analysis, model development, visualization, and collaborating with the team to support data driven decision making.
The base compensation range for this role in the posted location is $75,000 to $90,000.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- 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
