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Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines to scale genAI across global operations.
Lead AI projects, design software architectures, and mentor data scientists to deliver bespoke AI solutions for clients while shaping technical direction and client relationships.
Build and optimize enterprise-scale Oracle-based data models and Python middleware for Apple’s global supply chain, handling OLTP/OLAP workloads and ETL pipelines.
Design and optimize SQL-based ETL pipelines for financial data using SSIS, AWS Glue, and Python, ensuring compliance and performance in a regulated environment.
Build and maintain scalable data pipelines on Azure and AWS, integrating financial data sources with tools like Databricks, Glue, and Redshift to deliver clean, secure datasets for analytics and modeling.
Build predictive and diagnostic risk models for credit, financial, and operational domains using Python/R and statistical/ML techniques to guide business decisions.
Build and deploy AI/ML models for Singapore’s energy regulator, focusing on MLOps pipelines, model governance, and translating technical insights for stakeholders.
Builds and deploys full-stack AI agents that analyze industrial data, diagnose issues, and guide real-time decisions for operations teams using Python, FastAPI, and modern AI-native tools.
Designs and maintains scalable data pipelines for a cybersecurity platform using Python, PySpark, and cloud infrastructure to process large datasets in real time.
Build scalable Python back-end services in cloud environments and lead AI/GenAI initiatives using libraries like LangChain, TensorFlow, and LLM APIs.
Build and maintain Python-based data pipelines and REST APIs for a mobility platform, orchestrating vehicle and pricing data with Airflow and PostgreSQL.
Build and maintain Python-based data pipelines, ETL processes, and APIs to integrate and analyze large datasets for a proptech company.
Кого ищем: Риск-аналитика в команду портфельного менеджмента. Опыт работы: от 1,5 лет в финтехе, банках, МФО. Формат работы: Удаленно / офис / гибрид - любой из перечисленных. О компании: Мы - это группа компаний К+ ,…
Анализирует данные из пенсионных и социальных систем, выявляет дефекты и разрабатывает правила контроля качества с помощью SQL и Excel.
Build and maintain scalable data pipelines for machine learning using Python, PySpark, SQL, and cloud platforms, collaborating with cross-functional teams to deliver AI solutions.
Build and evaluate generative and predictive models for high-content cell imaging to uncover disease mechanisms and guide drug discovery, using deep learning and multi-omic data.
Senior analyst building customer-behavior models and forecasts for a fast-growing retail chain using SQL, Python, and BI tools.
Builds and maintains automated risk reports and data pipelines for a US credit-card portfolio using SQL, Python, and BI tools.
Job Title: Senior Manager, Data Science - Instamart Team: Data Science Years of Exp: 8 - 12 Location: Bangalore, India About the Team & The Role The Swiggy Data Science team is a vibrant group of scientists,…
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