Job description

About the role As a Senior Data Scientist , you will make an impact by designing, developing, and deploying scalable machine learning and generative AI solutions that drive business value and innovation. You will be a valued member of the Data & AI team and work collaboratively with data engineers, machine learning engineers, cloud architects, product teams, and business stakeholders to deliver production-ready AI capabilities. In this role, you will: • Design, build, and deploy scalable machine learning and generative AI solutions in cloud-based environments. • Develop and optimize predictive models using Python and modern machine learning frameworks. • Leverage Google Cloud Platform (GCP), Databricks, and Kubernetes to operate AI and ML workloads. • Integrate large language models (LLMs) and generative AI frameworks into enterprise applications and business processes. • Establish monitoring, logging, and performance tracking processes to ensure model reliability, scalability, and governance in production environments. Work model: We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant or client office in Alpharetta, GA . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered: • Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related field. • 5+ years of experience developing, deploying, and supporting machine learning or AI solutions in enterprise environments. • Strong programming experience with Python and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Hands-on experience with Google Cloud Platform (GCP) and Databricks. • Experience deploying and managing containerized applications using Kubernetes. • Experience working with Generative AI technologies and frameworks, including Hugging Face, LangChain, or LLM APIs. • Knowledge of distributed computing and large-scale data processing architectures. • Experience building and consuming RESTful APIs and microservices. • Strong communication and collaboration skills with the ability to translate business requirements into technical solutions. These will help you stand out: • Experience with Vertex AI and other GCP-native machine learning services. • Knowledge of MLOps best practices, including CI/CD pipelines and model lifecycle management. • Experience implementing model monitoring, observability, and governance frameworks. • Experience working with cloud-native data platforms and data engineering workflows. • Exposure to responsible AI, prompt engineering, and AI model evaluation methodologies. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* Salary and Other Compensation : Applications will be accepted until September 20, 2026 The annual salary for this position is between $ 130,000 - $ 150,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

Design, build, and deploy scalable machine learning and generative AI solutions in cloud-based environments.
Develop and optimize predictive models using Python and modern machine learning frameworks.
Leverage Google Cloud Platform (GCP), Databricks, and Kubernetes to operate AI and ML workloads.
Integrate large language models (LLMs) and generative AI frameworks into enterprise applications and business processes.
Establish monitoring, logging, and performance tracking processes to ensure model reliability, scalability, and governance in production environments.
What you need to have to be considered:
Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related field.
5+ years of experience developing, deploying, and supporting machine learning or AI solutions in enterprise environments.
Strong programming experience with Python and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with Google Cloud Platform (GCP) and Databricks.
Experience deploying and managing containerized applications using Kubernetes.
Experience working with Generative AI technologies and frameworks, including Hugging Face, LangChain, or LLM APIs.
Knowledge of distributed computing and large-scale data processing architectures.
Experience building and consuming RESTful APIs and microservices.
Strong communication and collaboration skills with the ability to translate business requirements into technical solutions.
Experience with Vertex AI and other GCP-native machine learning services.
Knowledge of MLOps best practices, including CI/CD pipelines and model lifecycle management.
Experience implementing model monitoring, observability, and governance frameworks.
Experience working with cloud-native data platforms and data engineering workflows.
Exposure to responsible AI, prompt engineering, and AI model evaluation methodologies.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Applications will be accepted until September 20, 2026
The annual salary for this position is between $ 130,000 - $ 150,000 depending on experience and other qualifications of the successful candidate.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythongcpkubernetesmlrestllmci/cd

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave