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 savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
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.
