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Develops and validates machine learning models for a bank’s customer-facing recommendation system, analyzing data and running A/B tests to personalize product offers.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Build predictive models and ML solutions for finance, insurance, and operations using Python, SQL, and cloud-native tools to drive data-driven decisions and business growth.
Build and maintain credit-risk dashboards and underwriting models using Python, AWS, and QuickSight for a fintech lender.
Build and maintain cloud-based data pipelines and analytics infrastructure using Snowflake, Python, and Azure to support financial decision-making and reporting.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Build and automate data-reconciliation pipelines in Python/Databricks to detect and resolve discrepancies in banking trades, ensuring intraday controls and audit trails for Treasury products.
Build and deploy AI/ML perception systems for autonomous robots and drones, integrating camera/radar sensors and fusion algorithms to enable safe navigation in industrial environments.
Build and maintain scalable data pipelines and quality checks for a hedge fund, integrating vendor feeds and internal systems using Python, SQL, and cloud platforms like Snowflake and AWS.
Builds AI/ML models and predictive analytics for commercial insurance risk management using Python, SQL, and advanced statistical techniques to deliver client-facing insights.
Builds quantitative models and dashboards in Python to analyze asset allocation, manager performance, and client portfolios for a global investment firm.
Senior Data Scientist builds and deploys AI/ML models and RAG pipelines to analyze marketing data, forecast performance, and optimize campaigns using Python, SQL, and cloud platforms.
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
Build and deploy AI-powered Python applications using frameworks like FastAPI and LangChain, integrating LLMs and vector databases for enterprise solutions.
Build and maintain production MLOps frameworks and pipelines in Python for enterprise-scale machine learning systems at a major bank.
Senior Data Scientist builds and deploys AI/ML models and RAG pipelines to analyze marketing data, forecast performance, and optimize campaigns for HP’s ecommerce and digital marketing efforts.
Build and maintain a cloud-native pricing engine in Python, designing APIs and algorithms that help property & casualty insurers rate and underwrite risk.
Build and maintain full-stack insurance pricing applications using Python (Flask/FastAPI), React/TypeScript, and cloud services to deliver secure, scalable features for insurers.
Build and improve AI underwriting models that screen rental applicants, run A/B tests, and analyze housing/credit data to make renting fairer and faster.
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