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Buscamos un Data Scientist con sólida experiencia en modelamiento estadístico y Machine Learning para integrarse a proyectos de implementación de alto impacto. La persona en este rol será responsable de transformar…
Build and maintain predictive models (GLM, XGBoost, Random Forest) for insurance underwriting and claims using Python and AWS SageMaker, then deploy them to production.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. Do you want to work on end-to-end projects that truly impact business decisions? We’re looking for a Data Scientist…
Builds and deploys ML models to analyze store equipment telemetry data, using Python, PySpark, and Azure cloud tools to drive operational insights and efficiency.
The Senior Lead Software Engineer will lead agile teams in building secure, scalable payment technology products while driving the adoption of AI-assisted engineering practices. The role involves system design, code development, and mentoring teams on the responsible use of AI tools within the software development lifecycle.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Commercial…
Senior developer builds and tests RESTful APIs and AI-powered web apps using React, Node.js, and Next.js, with expertise in agentic AI, ML models, and cloud platforms like Azure.
Senior API developer specializing in building and maintaining RESTful APIs, AI-driven systems, and Progressive Web Apps using React, TypeScript, Node.js, and Next.js. Focuses on integrating AI agents, MLOps, and cloud platforms like Azure.
The Data Engineer will design and deploy scalable, AI-enabled data pipelines and machine learning models for Department of Defense mission-critical environments. The role involves working with Python, Spark, and containerized cloud technologies to transform structured and unstructured data into operational insights.
Foxway seeks Data Scientist for Pricing & Business Modelling About the Role Join a leading European company in the technology refurbishing sector as a Data Scientist. You will work on real operational problems…
¡Únete a la revolución Fintech y construye el futuro de las finanzas en México! ¿Quiénes somos? Somos la empresa de tecnología financiera líder en México, impulsando a más de 70.000 clientes a alcanzar sus sueños.…
Designs and implements AI-native security architecture for an AI-first enterprise platform, securing GenAI agents, models, and integrations while building ML-driven threat detection and autonomous security agents to analyze 22B+ monthly security events across 176K+ hosts and 266+ Kubernetes clusters.
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
Builds and deploys predictive models for underwriting, pricing, claims, and customer retention using Python, SQL, and ML libraries while collaborating with actuarial and product teams to solve business problems.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Develop ML solutions on large-scale healthcare datasets for disease detection and patient outcome prediction, and translate client requirements into production analytics for pharma clients using Python, supervised ML methods, and ETL pipelines.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
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