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Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build predictive models and uncover insights from petabyte-scale financial datasets using Python, SQL, and AI coding assistants like Cursor or Copilot.
Build and maintain AI-ready data pipelines for semiconductor manufacturing, cleaning and validating production data to support next-gen equipment development.
Builds data pipelines and validation tools in Python/SQL to clean and annotate semiconductor-equipment data for AI model development and system verification.
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends like Iceberg, ClickHouse, and PostgreSQL to serve trading desks and analytics.
Designs and scales ETL pipelines to clean and structure APAC equity market data for fundamental research and AI-driven investment models.
Build and maintain a trading execution engine and data infrastructure for a quant research firm using Python, IB TWS API, Redis, and REST APIs.
Builds and maintains data pipelines for financial datasets, focusing on Chinese stock market data and Wind data to support AI-driven equity research.
Build and maintain scalable ETL pipelines for financial data, optimize data warehouses, and use AI coding tools to accelerate development while ensuring accuracy.
Build and optimize cloud-native backend systems in Go for real-time data processing and low-latency trading workflows, using Kafka, PostgreSQL, and Kubernetes.
Senior Data Scientist builds fraud-detection models and analyzes patterns to protect financial transactions using machine learning and statistical techniques.
Build and maintain risk models for derivatives, margin trading, and liquidation to safeguard Revolut’s trading products and ensure regulatory compliance.
Lead end-to-end AI model development for CPG, including time-series forecasting, optimization, and generative AI, from data exploration to deployment.
Build and maintain production-grade data pipelines and cloud data platforms for clients across industries, modeling datasets for analytics and AI while ensuring data quality and security.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and validate AI/ML models (LLMs, NLP, CV) for banking use cases, rapidly prototype solutions, and mentor junior team members in a collaborative, onsite environment.
Manage AI/ML projects end-to-end, coordinating cross-functional teams to deploy classification, detection, and predictive models in production using Agile/Scrum and Jira/Confluence.
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