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Lead a team building AI models for image classification, text categorization, and document extraction using Python, PyTorch, TensorFlow, and AWS SageMaker/Bedrock.
Lead the design of Prove’s data architecture and R&D for new data sources, ensuring scalable ingestion and integration of high-quality data into production systems.
Build and deploy ML/GenAI systems for personalized product recommendations, outfit suggestions, and conversational AI Stylist to engage millions of customers.
Lead a data-science team to extract business value from travel-company data, driving strategy and customer-experience improvements.
About the Role Develop and optimize personalization and recommendation models to deliver relevant offers, merchants, and experiences to GoPay users. Apply a range of DS techniques —such as collaborative filtering,…
Lead a search ranking team using applied ML and LLMs to improve product search relevance and user experience.
À propos d'Ondova Ondova est une startup montréalaise de deep-tech, issue de l'incubateur TandemLaunch, qui développe une technologie pour écouteurs : nous réutilisons le transducteur d'un écouteur ou…
Lead the development of clinically validated AI models for wearable health signals, guiding ML pipelines and mentoring teams in a regulated healthcare environment.
Lead a data science team to build ML models for pricing and claims in an insurtech startup, driving commercial impact while ensuring technical excellence and regulatory compliance.
Lead a team building and deploying production-grade AI/ML models in Python on Azure to drive data-driven decisions with national-scale impact.
Lead a team of data scientists to design, deploy, and scale AI/ML solutions in a large bank, focusing on production-grade models and strategic business impact.
Lead a data-science team to define Handelsbanken’s AI and analytics roadmap, build ML models with Python/SQL, and deploy them via MLOps while meeting banking regulations.
Lead a team building AI models that analyze clinical data to predict patient risks and improve care outcomes for healthcare clients.
Lead AI and machine learning projects for British Airways, designing data-driven solutions to optimize airline operations and decision-making.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Lead the design and deployment of personalization models to tailor customer experiences, using ML and generative AI while collaborating with product and tech teams.
Lead a team to design, build, and deploy ML models for customer churn, segmentation, and recommendations in a growing ecommerce company.
Lead a team building advanced AI systems, including agentic and generative AI models, to drive Target's AI-driven product innovations and solutions.
Lead a data-science team building marketing models, recommendation engines, and customer-segmentation for a UK ecommerce retailer using Python, SQL, and neural networks.
Leads a data-science team to build AI-powered insights, set the org vision, and coach leaders while aligning capabilities with business needs.
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