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ML engineer builds and monitors pricing models for corporate deposit products using regression, time-series, and reinforcement learning to optimize bank funding.
Senior Data Scientist builds healthcare analytics tools using SQL/Python to analyze claims data, create predictive models, and deliver insights for clients and internal teams.
Designs and maintains data infrastructure for R&D hardware systems, integrating experimental, manufacturing, and QC data with analysis and visualization tools using SQL, Python, and DAQ platforms.
Designs, builds, and maintains data pipelines and AI solutions for government clients, transforming raw data into analytics-ready assets and deploying ML models in secure environments.
Build quantum-computing applications in Python for government customers, implementing algorithms and optimizing code on D-Wave’s systems.
Build statistical models and pipelines to turn large-scale defense simulations into actionable insights for warfighters and operators using Python and advanced ML techniques.
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Build and maintain AI/ML models and pipelines for a large regulated gaming operator, using Python and libraries like Pandas and Scikit-learn to improve business processes and customer experiences.
Build and deploy enterprise-scale AI/ML models to improve operational efficiency and customer outcomes, working with engineers and product teams to move solutions from concept to production.
Build and maintain global equity data pipelines for a quantitative fund, ingesting market data from vendors like Bloomberg and Refinitiv to support trading and portfolio construction.
Build and deploy ML models and data pipelines in Python/SQL, optimizing for production performance and real-time insights in a cloud environment.
Build, deploy, and monitor ML/AI models in Python using TensorFlow/PyTorch, orchestrate pipelines with Airflow/Nifi, and scale on AWS/Databricks.
Principal Python Developer builds and maintains enterprise-grade Python applications, data services, and automation platforms with a focus on reliability, security, and performance in distributed environments.
Leads AI/ML projects end-to-end, from problem definition to deployment, using Python, TensorFlow, and PyTorch to build models for forecasting, optimization, and anomaly detection, then collaborates with engineers and business teams to drive data-driven business decisions.
Builds custom enterprise software solutions using Java/.NET/Python, cloud platforms (AWS/Azure/GCP), and AI/ML tools to automate workflows, integrate systems, and optimize performance for large-scale business applications.
Build enterprise-grade Java/Python full-stack apps and integrate AI features using cloud services (AWS/Azure/GCP) to automate workflows and deliver scalable solutions.
Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
Build full-stack web apps using Python (Django/Flask/FastAPI) for backend and React.js/Angular for frontend, integrating APIs and deploying scalable solutions.
Build and maintain data pipelines and platforms for a materials-research institute, integrating lab data and enabling analytics and ML to support carbon-capture and energy-storage research.
A Senior Data Scientist at Caesars Entertainment's Sportsbook team designs and deploys predictive and pricing models for real-time odds and risk management, using Python and machine learning to analyze sports data and collaborate with trading and engineering teams.
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