**MUST have a PhD to be considered**
*** No Visa sponsorship /transfer/c2c/ available for this role**
Job Summary
Cognizant Tech Soln is seeking a Senior AIML Scientist to design build and scale machine learning systems that power personalization customer intelligence and decision-making across the business. You will work at the intersection of classical ML statistical modeling and emerging Generative and Agentic AI capabilities partnering with engineering product and business stakeholders to turn data into measurable impact.
Responsibilities
Design develop and deploy production-grade propensity models recommendation engines and other predictive ML systems end-to-end.
Lead applied research and rigorous statistical analysis to inform model design experimentation and business strategy.
Build train and operationalize models on Google Cloud Platform (GCP) using services such as Vertex AI BigQuery ML Dataflow and Cloud Run.
Prototype and integrate Generative AI and Agentic AI capabilities into existing ML workflows and customer-facing products.
Partner with data engineering teams to design feature stores training pipelines and model monitoring frameworks.
Translate ambiguous business problems into well-scoped ML solutions and communicate results clearly to technical and non-technical audiences.
Mentor junior data scientists and contribute to best practices in modeling experimentation and MLOps.PhD in Computer Science Statistics Machine Learning Applied Mathematics or a related quantitative discipline.
5+ years of hands-on industry experience building and deploying ML models in production.
Deep expertise in propensity modeling recommendation systems and statistical analysis (causal inference AB testing experimental design).
Proven experience developing and deploying ML models on Google Cloud Platform including services like Vertex AI and BigQuery.
Solid working knowledge of Generative AI and Agentic AI LLMs RAG prompt engineering agent frameworks and evaluation methods.
Strong Python programming skills with proficiency in libraries such as scikit-learn TensorFlow or PyTorch pandas and NumPy.
- Location: must be based in and authorized to work in the United States or Canada
Certifications Required
Google Professional Machine Learning Engineer or equivalent industry certification in cloud based machine learning and ML Ops
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 [email protected] for roles based in the Americas or [email protected] for roles based in India.
