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Senior ML Engineer builds and deploys production-grade AI services for Hyatt’s hospitality data, including real-time and batch inference systems, MLOps pipelines, and scalable ML infrastructure.
Line of Service Assurance Industry/Sector Not Applicable Specialism Risk Management Level Manager Job Description & Summary Education (if blank, degree and/or field of study not specified) Degrees/Field of Study…
Build and deliver Microsoft Fabric-based data platforms for clients, designing Lakehouse/Warehouse solutions, ETL pipelines, and Medallion architectures using Python, PySpark, and SQL.
Builds secure, user-focused software at Cisco using Python, databases, and AI tools while collaborating with design and product teams to deliver reliable, scalable solutions.
Senior Solution Engineer at Mars builds digital tools to measure sustainability impact, automate carbon accounting, and ensure regulatory compliance for corporate stakeholders using data pipelines and analytics.
Bridges sustainability strategy and digital delivery at Mars, translating regulatory and reporting needs into data/analytics solutions and Power BI reports to track environmental impact and compliance.
Build and maintain analytics and reporting solutions using IBM Cognos and Power BI to deliver data-driven insights for ING’s Retail Banking team.
Build cloud-native Python services and APIs that power data-driven network analytics, forecasting, and AI at a major media and entertainment company.
Principal AI Data Engineer builds and deploys GenAI, RAG and agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Build and secure large-scale data pipelines for cyber threat detection, using Kafka, Spark, Kubernetes, and cloud infrastructure to process and analyze security data in real time.
Build and optimize Coveo-powered search experiences for Agilent’s websites, ecommerce, and content hubs, integrating AI-driven relevancy, analytics, and data pipelines.
Build and automate end-to-end ML pipelines for retail analytics and forecasting, integrating Oracle, Snowflake, and AWS with Kedro, MLflow, and Docker.
Builds scalable data pipelines and AI integrations for Autodesk’s Technical Advisory team, prototyping MCP servers, LLM workflows, and reusable ETL tools to connect customer data with Autodesk platforms.
Principal Data Architect defines and leads enterprise data architecture for cloud-native platforms, designing scalable, secure data solutions to support digital transformation and data-driven decisions in wealth management.
Build and maintain scalable data pipelines and security analytics platforms to detect cyber threats using Python, Spark, Kafka, Kubernetes, and AWS.
Builds and maintains data pipelines and databases for insurance pricing models using SQL, Python, and Airflow to power real-time analytics and business decisions.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.
Lead a team building cloud-native data pipelines and AI-ready datasets for BMO’s generative AI and analytics platforms, integrating structured and unstructured data while ensuring governance and security.
Build and maintain scalable data pipelines and microservices on GCP to support real-time and batch processing for Ford’s mobility platforms.
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