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Lead a team building and scaling a secure, AI-driven KYC and risk platform using Python/Java, Databricks, Spark, and cloud-native tools to process large-scale financial data.
Maintains and optimizes JPMorgan Chase’s KYC systems by writing code, automating CI/CD pipelines, and using AI-assisted monitoring to ensure reliability and scalability.
Build and optimize scalable data pipelines and lakehouse architectures using Databricks, Spark, Kafka, and Airflow to power analytics, ML, and newsroom workflows at a major media company.
Designs and implements enterprise data architecture for a large healthcare system, ensuring secure, interoperable data pipelines and models that support analytics, reporting, and AI-driven patient care improvements.
Build and productionize ML, deep learning, and generative AI models using Databricks and PySpark to optimize energy infrastructure and operations.
Build and optimize ETL/ELT pipelines and data models for enterprise clients, using Python, SQL, Spark, and Azure to stabilize reporting and improve data quality across finance, procurement, and workforce systems.
Manage data science projects and ensure alignment with business goals. Ensure adherence to data science policies and procedures. Provide strategic guidance on data science practices. Lead a team of data scientists. Job…
Build and maintain secure, high-performance back-end systems for a global financial services provider using Azure, Databricks, PySpark, and SQL Server.
Build and deploy ML models in Python and PySpark on AWS to drive credit-risk and collections decisions, analyzing large datasets to improve business outcomes.
Builds and optimizes cloud-based BI pipelines using Microsoft Fabric and Azure Databricks to deliver energy-efficiency analytics and reports for clients.
Senior BI developer designs and implements enterprise-scale analytics solutions using Tableau, Power BI, SQL, and ETL pipelines to deliver data-driven insights for an aerospace and defense contractor.
Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery Implementation and…
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About Machine Learning Reply Machine Learning Reply offers customized end-to-end Data Science solutions, covering the entire project life cycle – from initial strategy consulting, data architecture and infrastructure…
Designs and builds a scalable, high-performance end-to-end data platform while mentoring junior engineers and driving product-focused data solutions using PySpark, SQL, Kafka, and AWS technologies.
Build statistical and ML models on large pharma datasets in Databricks/AWS to inform business decisions, partnering with cross-functional teams.
Build and deploy ML models and MLOps pipelines using Python, TensorFlow, and GCP Vertex AI, containerized with Docker and orchestrated via Kubernetes.
Build and deploy ML and GenAI models for security, anomaly detection, and developer tools at a DevSecOps platform company.
Designs and builds a pricing engine using Microsoft Fabric, Power BI, and Dynamics 365 Business Central to deliver margin insights and dashboards for a packaging distributor.
Designs and builds data pipelines, ETL workflows, and reporting solutions using Python, PySpark, SQL, and tools like Denodo and Tableau to support analytics and governance at a global SaaS provider.
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