Associate Data Scientist

We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights., Key Responsibilities:Application Architecture Design, Development, & Integration:Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment.Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.

AI & Machine Learning Models Development:Develop generative and predictive AI models (including NLP, computer vision, etc.).Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions.Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency.

Model Deployment & Maintenance:Deploy AI models into production environments, ensuring scalability, performance, and optimization.Monitor and troubleshoot deployed models and pipelines for optimal performance.Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses).

Emerging Technologies:maintain involvement with internal and external training and relevant discussions; stay at the forefront of emerging AI techniques, tools, and trends.

Collaboration & Communication:Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals.Willingness to contribute to and participate in developing and harvesting resuable assets and demos, sales pitches.Communicate complex AI concepts and results to non-technical stakeholders.

Education:Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience

Experience:Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role.Experience in model deployment, MLOps, model monitoring, and managing data/model drift.Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion).

Technical Skills:Proficiency in programming languages such as Python and SQL.Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation.Proficiency with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark).Familiarity with AI frameworks such as LangChain and machine learning libraries like TensorFlow, PyTorch, and scikit-learn.Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy).Understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis).

Additional Skills:Strong problem-solving and troubleshooting skills.Familiarity with generative AI techniques, such as retrieval-augmented generation (RAG) patterns.Experience with Graph database technology a plus. (e.g. Neo4J, Ontotext)Ability to collaborate effectively across teams.Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

401(k), Health insurance, Paid time off, Vision insurance, Dental insurance, Employee assistance program, Disability insurance, Paid holidays, The base compensation range for this role in the posted location is:70,000 - 110,000

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.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

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.