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Build and optimize Snowflake data pipelines and models for financial data, implementing ELT processes, data quality checks, and performance tuning for investment and portfolio analytics.
Build and maintain Azure data pipelines and Power BI models to unify Salesforce and JD Edwards data into business dashboards.
Build and test AI-powered airline tools using Python, LLMs, and agentic workflows; validate accuracy, safety, and performance of generative AI systems for aviation operations.
Design and build AI-driven software systems using Python, React, Node.js, and FastAPI/Django, integrating APIs and optimizing performance for business operations.
Build and optimize scalable data pipelines on Databricks and AWS using Python, PySpark, and SQL for enterprise clients.
Build and own AI/LLM systems for a fintech expense platform, designing secure RAG, agent orchestration, and evaluation pipelines in Python.
Design and maintain cloud-based data platforms for aviation analytics, building scalable pipelines and ensuring data quality for enterprise reporting and BI.
Design and build AI agent systems using LLMs, agent frameworks, and tool integrations to create scalable, reasoning-driven applications for a financial services firm.
Lead the design and delivery of AI-powered products for a fintech firm, building agent-based systems and decision tools that automate credit risk and financial analysis workflows.
Build and deploy production-grade ML systems, including LLMs and GenAI, from experimentation to live inference while integrating with core product features.
Lead the AI engineering squad and design the core AI architecture for a unified, AI-powered fintech platform integrating LLMs, retrieval systems, and agentic workflows into financial services.
Design and deploy AI models in Python/TensorFlow/PyTorch to solve business problems, then integrate them into production systems and monitor performance.
Design and maintain batch and streaming data pipelines for AI/ML products, fraud detection, and personalization using Scala/Python, Kafka, Spark on Databricks, and Airflow.
Build and maintain scalable data pipelines using Kafka, Spark, Airflow, and Python to power AI/ML products, fraud detection, and recommendation engines in a hybrid Dubai role.
Builds scalable data pipelines for AI/ML features like fraud detection and recommendations using Kafka, Spark (Databricks), Airflow, and Python.
Designs scalable data pipelines and models on AWS for government modernization, using Python, SQL, and Databricks/Snowflake to build secure, high-performance data systems.
Lead the design and implementation of AI-enabled data platforms and orchestration systems, overseeing architecture, data models, and offshore team delivery for enterprise transformation.
Design and maintain scalable data pipelines and cloud-based data infrastructure to support analytics and business intelligence at a growing startup.
Build and maintain data pipelines and ETL processes using Python, Flask, and ORMs like SQLAlchemy to support analytics and ML workflows.
Designs and builds scalable Snowflake data platforms for retail analytics, creating ELT pipelines from POS, e-commerce, CRM, inventory and supply chain systems and enabling AI-driven insights with Snowflake Cortex.
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