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Analyze large datasets with Python, Pandas, and BI tools to build dashboards and uncover trends that guide business decisions.
Build and deploy ML models for fintech and cybersecurity products, owning the full lifecycle from data exploration to production deployment and monitoring.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Build and deploy AI models (including LLMs) for investment research, using Python, ML libraries, and financial data to enhance decision-making and automate analysis.
Builds and maintains backend systems in C++, Python, or Java, applying AI/ML (LLMs, NLP) to trading and operations workflows within a large hedge fund.
Hiring for Aiden Risk About the Role Aiden is looking for a Python Automation Engineer to help automate complex business processes and build scalable automation solutions. This role is ideal for someone who enjoys…
Build and deploy LLM-powered AI agents and NLP models to automate banking decisions like pricing and transfer rates, using Python, PyTorch, and LangChain.
Build and scale a Python-based analytics engine on Kubernetes/Docker that processes building-HVAC data, using Pandas/NumPy/PyTorch to cut energy waste and carbon emissions.
Build and deploy ML models using Python, TensorFlow, and PyTorch; analyze data to uncover trends and deliver dashboards and reports for stakeholders.
Designs, builds, and deploys AI models (ML/DL/NLP/CV) to automate decisions and processes, working with data scientists and engineers to integrate intelligent systems into production.
Senior data analyst building ML-driven forecasting tools for oilfield equipment and reservoir dynamics, analyzing sensor data and telemetry to optimize production.
ML engineer builds and optimizes a recommendation system and computer-vision tools for a large e-commerce platform used by 4M+ monthly users.
Analyzes user behavior and campaign data to personalize offers in Sber’s omnichannel banking ecosystem, runs A/B tests, and builds metrics to optimize products and business processes.
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
Job Title: Research Associate (Data Engineering) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Civil and Environmental Engineering Employee Category: Research Staff…
Data analyst builds and tracks product metrics, analyzes customer funnels, runs A/B tests, and improves personalization in Sberbank’s omnichannel ecosystem using SQL, Python, and BI tools.
Build and evaluate predictive models, detect anomalies, and forecast metrics using Python, SQL, and data science libraries to support fintech product decisions.
Designs and maintains semantic data layers, builds cloud-based data pipelines, and creates interactive dashboards to deliver AI-augmented analytics for real-estate insights.
Build and run a browser-based computational design platform using TypeScript/React/Vite front end, Python/FastAPI backend, and Azure/self-hosted deployment, with AI-native prompt-driven workflows and node-graph execution engine.
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