Job description

Please note, this role is not able to offer visa transfer or sponsorship now or in the future. Lead AI/ML Developer About the role As a Lead AI/ML Developer, you will make an impact by designing, developing, deploying, and managing AI/ML, forecasting, predictive analytics, and Generative AI solutions using GCP Vertex AI, Gemini, Claude, and modern MLOps frameworks. You will be a valued member of our data and analytics team and work collaboratively with the engagement lead, business stakeholders, and the broader AI/ML development squad to build scalable, production-ready AI solutions and business-facing analytics products. In this role, you will: • Design, develop, deploy, and manage AI/ML, forecasting, predictive analytics, and Generative AI solutions using GCP Vertex AI, Gemini, Claude, and modern MLOps frameworks. • Lead the AI/ML development squad, including design, code review, delivery quality, and technical mentoring. • Own solution design for AI/ML use cases and drive them from prototype to production. • Partner with the engagement lead on use-case discovery, estimation, and roadmap planning. • Integrate ML outputs into the BI layer so business users can consume insights within existing reporting. • Ensure security, governance, and responsible-AI compliance across all delivered models. Work model: At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Houston, Texas. 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 • 10+ years of experience in data and analytics, including 5+ years of hands-on AI/ML development and 2+ years leading a developer pod, with experience delivering models into production at enterprise scale. • Hands-on experience with GCP Vertex AI, including Vertex AI Pipelines, Model Registry, and Endpoints, along with Gemini and Claude models, prompt engineering, and RAG (Retrieval Augmented Generation). • Experience building forecasting and predictive analytics models (ARIMA, SARIMA, time series), as well as classification and regression models. • Strong programming skills in Python and PySpark, with experience in TensorFlow and PyTorch. • Experience with Azure DevOps, CI/CD pipeline automation, Artifact Registry, and MLOps/model lifecycle management. • Strong SQL and semantic modeling skills, with experience ensuring data quality and reconciliation for analytics consumption. These will help you stand out • Experience with Streamlit development and AngularJS integration. • Experience with Power BI, Looker, or Tableau, translating model outputs into decision-ready dashboards and KPIs. • Experience with model monitoring, governance, and production support. 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. 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

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Lead AI/ML Developer
Design, develop, deploy, and manage AI/ML, forecasting, predictive analytics, and Generative AI solutions using GCP Vertex AI, Gemini, Claude, and modern MLOps frameworks.
Lead the AI/ML development squad, including design, code review, delivery quality, and technical mentoring.
Own solution design for AI/ML use cases and drive them from prototype to production.
Partner with the engagement lead on use-case discovery, estimation, and roadmap planning.
Integrate ML outputs into the BI layer so business users can consume insights within existing reporting.
Ensure security, governance, and responsible-AI compliance across all delivered models.
What you need to have to be considered
10+ years of experience in data and analytics, including 5+ years of hands-on AI/ML development and 2+ years leading a developer pod, with experience delivering models into production at enterprise scale.
Hands-on experience with GCP Vertex AI, including Vertex AI Pipelines, Model Registry, and Endpoints, along with Gemini and Claude models, prompt engineering, and RAG (Retrieval Augmented Generation).
Experience building forecasting and predictive analytics models (ARIMA, SARIMA, time series), as well as classification and regression models.
Strong programming skills in Python and PySpark, with experience in TensorFlow and PyTorch.
Experience with Azure DevOps, CI/CD pipeline automation, Artifact Registry, and MLOps/model lifecycle management.
Strong SQL and semantic modeling skills, with experience ensuring data quality and reconciliation for analytics consumption.
These will help you stand out
Experience with Streamlit development and AngularJS integration.
Experience with Power BI, Looker, or Tableau, translating model outputs into decision-ready dashboards and KPIs.
Experience with model monitoring, governance, and production support.

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aimlgcprestpythonazureci/cdsql

Platform: cognizant
Effort: medium