**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
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
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, provincial 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] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
