Gen AI/ML Data Scientist

Focuses on Generative AI, intelligent applications, and advanced analytics. This role combines hands-on AI engineering with a delivery and consulting oriented mindset. You will work closely with business and technical stakeholders to shape, build, and scale AI solutions from early exploration through production delivery. Some engagements may follow a Forward Deployment Engineer (FDE)-style working model, where engineers collaborate closely with client teams during solution design and rollout. However, the role remains broad and well suited for candidates who enjoy combining strong technical problem solving with collaborative, client facing delivery. Many initiatives are centered on enterprise cloud and AI platforms, with a strong preference for Azure based architectures and services, as well as modern developer environments that incorporate AI assisted development and code generation tools.

Key Responsibilities

• Design, develop, and deploy AI enabled applications aligned to enterprise needs.

• Translate business problems into scalable technical solutions.

• Build Generative AI solutions using large language models, including RAG and tool enabled workflows.

• Apply AI assisted code generation and developer productivity tools for tasks such as code scaffolding, refactoring, documentation, and test generation.

• Design and integrate application components using REST APIs, authentication, error handling, and observability best practices.

• Deploy and operate AI solutions in production or production adjacent environments, supporting monitoring and reliability.

• In some cases, work in a client proximate or forward deployed delivery model in close collaboration with architects and delivery leads., 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.

• Bachelor's degree or higher in Computer Science, AI/ML, Data Science, Engineering, or equivalent experience.

• 1+ years of experience in AI/ML, GenAI, application development, or data engineering.

• Strong proficiency in Python and SQL.

• Experience with cloud platforms (Azure strongly preferred; AWS or GCP also considered).

• Experience with APIs, CI/CD pipelines, containerization (Docker), and cloud native deployments.

• Prior experience in enterprise, consulting, or client delivery environments preferred.

Preferred Qualifications

• Experience delivering solutions on Azure or Microsoft aligned platforms, including AI, data, or application services.

• Familiarity with Microsoft native developer tools and AI assisted coding / code generation tools.

• Exposure to agentic or tool orchestrated AI patterns.

• Interest or experience in client proximate or forward deployed engineering roles (a plus, not required).'

The base compensation range for this role in the posted location is $43,984 to $105,600

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.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.