About the role:
As an ML / Applied Scientist, you will make an impact by developing machine learning models that power entity resolution, inference, and intelligent data classification across enterprise data ecosystems. You will be a valued member of the AI and Data Engineering team, working closely with Architects, Data Domain SMEs, Backend Engineers, and platform stakeholders to build scalable AI solutions that improve data quality and business intelligence.
In this role, you will:
Design and develop entity matching models that combine fuzzy and exact matching techniques to create and maintain trusted golden records.
Build machine learning models that identify patterns, relationships, and anomalies across complex enterprise datasets to support data profiling and business insights.
Develop AI-powered labeling and classification solutions using Gemini and other large language model technologies to support business ontology initiatives.
Deploy, monitor, evaluate, and continuously improve machine learning models on Vertex AI, ensuring high levels of accuracy, performance, and reliability.
Partner with cross-functional teams to integrate AI capabilities into enterprise platforms, workflows, and agent orchestration solutions.
Work model:
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. 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:
5+ years of experience in applied machine learning, with expertise in entity resolution, classification, NLP, or matching systems.
Strong programming skills in Python and hands-on experience with machine learning frameworks such as PyTorch and/or scikit-learn.
Experience deploying, monitoring, and evaluating machine learning models in Vertex AI or similar cloud ML platforms.
Experience working with embeddings, large language models (LLMs), and NLP techniques for classification, search, matching, or inference use cases.
Proven experience designing labeling and training workflows using weak supervision, human-in-the-loop review processes, and AI-assisted labeling approaches.
These will help you stand out:
Experience working with knowledge graphs, ontologies, or graph-based machine learning applications.
Understanding of MLOps practices, including model versioning, monitoring, drift detection, and automated retraining pipelines.
Experience building enterprise AI solutions using Google Cloud Platform services, including BigQuery and Vertex AI.
Familiarity with Gemini APIs and applying generative AI technologies in production environments.
Google Cloud Professional Machine Learning Engineer certification.
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.
Salary and Other Compensation:
Applications will be accepted until November 29, 2026
The annual salary for this position is between $ 115,000 - $ 130,000 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.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
