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Designs and governs enterprise-grade AI, Generative AI, and Agentic AI architectures, setting standards and enabling scalable adoption across global teams.
Senior ML Engineer builds and optimizes computer-vision models for QSR drive-thru analytics and loss prevention, deploying lightweight AI on edge hardware.
Build and deploy production-grade ML models that turn real-world context into enterprise-grade demand forecasts, using Python and distributed ML infrastructure.
Build and evaluate GenAI systems (LLMs, RAG, agents) to accelerate marketing services, driving product strategies and operational efficiency with Python, SQL, and experimentation.
Lead AI-powered tooling for software engineering teams, designing and deploying LLMs, copilots, and agents to improve the dev lifecycle in a financial-services enterprise.
Manager of Research Engineering, TR Labs Are you excited about the future of AI technology? Are you passionate about delivering value and maximizing the impact of R&D investment? Thomson Reuters Labs is seeking a…
Senior Data Scientist builds and deploys ML models for credit risk, fraud detection, and customer segmentation to drive lending decisions at a Southeast Asian SME digital finance platform.
Staff Software Engineer at Visa in Bengaluru building AI-native features (RAG, generative AI) and full-stack Java/Python applications for the Value-Added Services platform.
Designs and oversees the technical architecture for Singapore’s Land Transport Authority’s AI systems, ensuring scalability, security, and operational readiness for public transport use cases.
Chief Architect defines and governs enterprise-wide cloud-native, multi-tenant SaaS architectures, internal developer platforms, and security standards across AWS, Azure, and GCP to drive reliability, cost efficiency, and developer productivity.
Lead a team building and deploying AI/ML systems for banking, focusing on LLMs, RAG pipelines, and agentic workflows to enhance customer experiences and internal tools.
Lead a team owning CI/CD, observability, and reliability for AI/ML services in a regulated financial environment, using AWS, Kubernetes, and infrastructure-as-code.
Lead a team of data scientists to build AI-driven supply chain planning tools using machine learning and optimization, translating analytics into business decisions for a medical technology company.
Lead the AI platform vision and roadmap, translating user needs into predictive and generative AI features while collaborating with engineering and business teams to drive adoption and measure impact.
Build and deploy AI/ML models and MLOps pipelines using cloud AI services, Docker, FastAPI, and MLflow. Focus on production-grade systems, CI/CD, and model lifecycle management.
Build and deploy AI/ML applications using cloud services and GenAI models, focusing on production-ready pipelines and MLOps practices.
Principal Platform Engineer builds and owns scalable data pipelines, AI/BI platforms, and cloud infrastructure for Harman’s automotive tech, using Python, SQL, PySpark, and cloud services.
Build customer segmentation and marketing analytics models using clustering, SHAP explainability, and Python/SQL to turn data into actionable insights for brands.
Build and refine Marketing Mix Models to quantify marketing spend impact, using regression, time-series, and ML techniques to guide budget allocation and ROI decisions for global brands.
Senior Data Scientist building ML pipelines, features, and models for a Brazilian Banking-as-a-Service platform, deploying and monitoring jobs to power financial products.
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