Nous recherchons un Expert Manager en Intelligence Artificielle (IA) et Data Science pour gérer et réaliser des projets de conseil et d'implémentation autour de l'IA et de l'Intelligence Générative (GenAI).
Responsibilities
Gérer et réaliser des projets de conseil en AI et Data Science.
Concevoir, développer et implémenter des solutions AI et GenAI.
Collaborer avec les clients pour comprendre leurs besoins et traduire ces besoins en solutions techniques.
Assurer la gestion de projet, y compris la planification, l'exécution et le suivi de la performance.
Encadrer et former les membres de l'équipe sur les meilleures pratiques en AI et Data Science.
This role focuses on the hands-on development and delivery of production-grade AI solutions that enable automation, insight generation, and scalable intelligence across enterprise platforms.
Compensation
zł182,004 Annual
Responsibilities
Design, build, and deploy production AI and ML solutions
Develop LLM-based applications, including prompt engineering and inference workflows
Build RAG pipelines using structured and unstructured enterprise data
Implement embeddings, semantic search, and vector-based retrieval
Lead end‑to‑end design, development, and deployment of advanced machine learning models and AI‑driven products in healthcare.
Responsibilities
Lead the end‑to‑end design, development, and deployment of advanced machine learning models and AI‑driven products that deliver significant business value.
Act as the technical lead on complex data science projects, defining the roadmap, setting priorities, and ensuring the scientific rigor of the team's work.
Architect and implement scalable, production‑ready data science pipelines and MLOps frameworks in collaboration with engineering teams.
Serve as a primary consultant to executive leadership and business stakeholders, translating complex data insights into strategic recommendations.
Mentor and develop other data scientists and engineers, fostering a culture of innovation, collaboration, and continuous technical growth.
Requirements
Master’s degree or PhD in a quantitative field such as Computer Science, Data Science, Statistics, Physics, or a related discipline
As a Data Engineer, your role is to design, develop, and optimize data systems that power AI and machine learning solutions. You create scalable data pipelines, ensure the quality and reliability of data flows, and allow AI and data science teams to develop, train, and deploy advanced models effectively.
Responsibilities
Convoir, développer et optimiser des pipelines de données pour alimenter les modèles d'IA.
Mettre en place des architectures de données performantes (Data Lake, Data Warehouse, temps réel) adaptées aux besoins de l'IA.
Préparer, transformer et valider les données en collaboration avec les équipes IA afin de garantir leur qualité et leur disponibilité.
Assurer la sécurité, la conformité et la gouvernance des données utilisées pour l'entraînement des modèles.
Automatiser les flux de données et contribuer au déploiement des modèles d'IA via des pipelines MLOps et des processus CI/CD.
Requirements
Diplômé(e) d’une formation supérieure en informatique, data engineering, intelligence artificielle, science des données ou domaine équivalent (niveau Master ou école d’ingénieur)
Lead Architect for AI solutions within Travelers’ AI and Emerging Technology Architecture team, responsible for designing scalable, production-grade AI systems and driving AI strategy across the enterprise.
Compensation
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Responsibilities
Apply expertise in AI/ML, Generative AI, and Agentic AI to architect scalable solutions
Provide consulting to division and domain architects
Align AI platform capabilities with business needs
Establish governance, risk, and control processes for AI deployments
Communicate AI roadmap and competitive insights
Requirements
Bachelor’s degree in technology-related field or equivalent
Lead the technology strategy and roadmap for designing, building, and operating bespoke AI solutions for Thomson Reuters’ legal technology platform, serving top law firms and corporate legal departments worldwide.
Locations (6)
New York City, New York, United States
San Francisco, California, United States
Los Angeles, California, United States
Irvine, California, United States
McLean, Virginia, United States
Data/AI Developer
Tista Science and Technology Corporation · Posted Nov 9, 2026
A Data/AI Developer focused on building and validating ML models for supply chain forecasting, developing LLM workflows, and managing MLOps on Databricks.
Compensation
The suggested pay for this position ranges from $95,546 to $105,875. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and location. Also, certain positions are eligible for additional forms of compensation, such as bonuses.
Responsibilities
Build and validate ML models for inventory and demand forecasting, and document model validation.
Automate identification and validation of product substitutions during supply disruptions.
Build LLM and agentic workflows inside a governed, auditable AI operating model.
Run MLOps on Databricks (MLflow, model serving, monitoring).
Deliver dashboards and analytics for supply chain stakeholders.
Requirements
Bachelor's degree in computer science, data science, statistics or a related field
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Define and drive the long‑term technical vision and strategy for FDE
Lead the selection, evaluation, and adoption of technologies, frameworks, and patterns
Identify emerging capabilities and communicate opportunities and trade‑offs to senior leadership
Contribute to cross‑functional engineering strategy, standards, and patents
Lead complex, high‑risk AI initiatives from concept through production
Requirements
Nice to have: regulated industry experience (legal, fintech, healthcare)
Data Scientist IIINewCentauri Health Solutions · Tempe, US
Data/AI DeveloperNewTista Science and Technology Corporation · Remote, US