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Lead a team building scalable data pipelines and platforms for JPMorgan Chase’s payments technology, using Spark, Kafka, Flink, and Databricks to enable real-time analytics and governance.
Lead the design and build of a cloud-first data platform using Azure, Databricks, and Delta Lake, while coaching a global data engineering team to enable AI and analytics at enterprise scale.
Lead the design and governance of real-time and event-driven data architectures using Kafka and Azure services, partnering with engineering teams to build scalable, secure financial data solutions.
Build and maintain the internal AI agent platform that lets Procore teams create, deploy, and evaluate agents for ConTech workflows.
Build and maintain scalable data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality in a financial-services environment.
Build and maintain data pipelines and models for market abuse surveillance using Python, AWS, and SQL, ensuring regulatory compliance and reliability of financial market data systems.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Build and scale high-throughput data pipelines and feature stores for fraud detection and risk decisioning using Kafka, Spark, and AWS, enabling ML models and real-time rules to combat global financial fraud.
Lead the design and delivery of enterprise-scale HR data platforms using Snowflake, dbt, and ETL pipelines, ensuring compliance with banking regulations and aligning data systems to HR business goals.
Job Description What is the opportunity? The TLM Support Manager is responsible for enterprise-wide reconciliation transformation initiatives as a Senior Business Analyst, leveraging 6+ years of hands-on expertise with…
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Build and lead Cloudera’s cloud-native streaming platform based on Apache Kafka, Kubernetes, and Java, shipping features that power real-time data applications for enterprise customers.
Build and ship enterprise-grade streaming data features using Apache Flink and Kubernetes for Cloudera’s cloud-native data platform.
Designs and optimizes HVAC refrigeration and airflow systems for commercial water-source heat pumps, ensuring performance, regulatory compliance, and sustainability while leading cross-functional engineering teams.
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at…
Build and deploy ML models for Slack’s conversational AI, ranking, and generative features, using Python, PyTorch, and Spark to drive product impact at scale.
Build and maintain large-scale data pipelines and processing components using Python, SQL, and Big Data tech like Spark and Kafka for a global social media platform.
Build and deploy ML models to improve a clinical decision-support platform, working with healthcare datasets like EHRs and claims data using Python/R and cloud tools.
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