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Lead a team of data scientists to design and govern AI/ML systems for trading and research, ensuring methodological rigor and production-ready insights.
Senior Data Scientist builds predictive models and LLM agents for automotive retail, using AWS lakehouse and Databricks to productionize multi-step AI agents with tool access and robust deployment practices.
Lead a team building quantitative AI/ML models for global markets trading, using Python, Spark, and AWS to optimize FX, bonds, equities, and derivatives.
Build and maintain scalable Python services and high-performance SQL on Snowflake/Databricks, designing secure, observable data applications with Streamlit and modern data architecture.
Design and implement scalable data platforms (lakehouses, data lakes) and AI foundations for enterprise customers, focusing on governance, quality, and modernization.
Builds and maintains a back-end system using PostgreSQL/SQL Server, RESTful APIs, and Git; writes clean code, optimizes queries, and troubleshoots issues for a marine training platform.
Lead a data and platform engineering team to build and scale a secure, high-reliability AI-first data platform, balancing hands-on technical work with people management.
Designs, deploys, and secures enterprise data-center networks using Nexus and Fabric technologies, focusing on SSL offloading, traffic analysis, and high availability.
Design and maintain AI-powered automations and data infrastructure, build Power BI dashboards, and ensure data quality across finance, HR, and operations.
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
Architect and build production-grade AI agent systems that reliably process enterprise data, integrating LLMs, RAG, and multi-agent workflows while ensuring consistency and auditability in regulated environments.
Builds and maintains full-stack applications and IoT integrations, writing clean code and debugging while ensuring database design and compliance.
Build applications and dashboards using Python/JavaScript and Power BI while contributing to AI-driven automation and digital transformation projects.
Designs scalable data frameworks and governance for AI systems, ensuring alignment with business goals and modern data quality standards.
Lead AI-driven predictive modeling and analytics to inform fintech growth strategies and data-driven decisions.
Build and productize Mosaic AI into a self-service platform, designing agent architectures and MLOps pipelines for Aderen.
Build AI and automation models to analyze insurance claims data using Python and SQL, turning business challenges into data-driven solutions.
Build AI-driven compliance insights by analyzing datasets, maintaining dashboards, and documenting methodologies using SQL, Python, and AI tools.
Wego is seeking a Marketing Automation & AI Engineer to design and deploy autonomous AI-driven marketing workflows within the MarTech team. The role focuses on building adaptive automation that optimizes campaigns,…
Designs and governs AI and data platforms on Azure and Databricks, translating business needs into scalable, secure architectures for enterprise modernization.
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