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.
Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.
