Senior Data Scientist

We are looking for an experienced GenAI Engineer / Data Scientist with 5-7+ years of experience in AI, machine learning, and application development. The role focuses on designing, developing, deploying, and maintaining Generative AI and Predictive AI solutions that create business value and improve operational efficiency.Key Responsibilities

Design and develop AI-powered applications and APIs. Build and deploy Generative AI (GPT, Claude, Stable Diffusion, RAG) and Predictive AI models (regression, classification, clustering). Develop intelligent AI agents and agentic workflows for task automation. Deploy, monitor, and optimize AI models in production environments. Design and maintain data pipelines, data lakes, and data warehouses. Collaborate with business and technical teams to align AI solutions with organizational goals. Stay updated on emerging AI technologies and contribute to reusable assets, demos, and sales initiatives. Communicate AI concepts and outcomes to both technical and non-technical stakeholders., APIs: REST/JSON, HTTP requests, authentication, tokens, error handling, debugging, integrations, documentation Cloud Platforms: Azure, AWS, GCP Big Data Tools: Databricks, PySpark AI/ML Frameworks: LangChain, TensorFlow, PyTorch, Scikit-learn MLOps & Deployment: Docker, Azure DevOps, AWS ECS/EKS/Fargate, CI/CD pipelines Databases: MySQL, MongoDB, Redis Knowledge of RAG architectures, AI agents, and multimodal AI systems Graph databases such as Neo4j or Ontotext are a plus

Programming: Python, SQL, Bachelor’s degree or higher in AI, Machine Learning, Data Science, or a related field (or equivalent experience). Hands-on experience with:

Model deployment and monitoring MLOps practices Managing model and data drift Cloud-based AI solutions

Soft Skills

Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills Ability to work effectively in cross-functional teams Capability to explain complex AI concepts to non-technical audiences, A professional with strong expertise in Generative AI, Machine Learning, Cloud Platforms, APIs, MLOps, and Data Engineering, capable of taking AI solutions from concept to production while collaborating closely with business stakeholders to deliver measurable outcomes.

The base compensation range for this role in the posted location is 150,000- 210,000

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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

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., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.