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Build and maintain State Street’s enterprise AI platform, integrating ML models, cloud infrastructure, and MLOps pipelines to support investment and risk management use cases.
Position Overview: As an Engagement Manager, you will collaborate with some of our largest clients to drive the adoption and utilization of the LexisNexis Dynamic Decision Platform, creating impactful business…
Build and maintain production MLOps frameworks and pipelines in Python for enterprise-scale machine learning systems at a major bank.
Build and deploy AI/ML models and data pipelines to extract insights from structured and unstructured data for government and defense clients.
Design and maintain data pipelines, build analytics solutions, and train teams on data systems for government clients using Python, SQL, and cloud tools.
A Workforce Management Tactical Analyst at Bank of America responsible for contact center employee scheduling, data auditing, and process optimization using WFM platforms and Microsoft Office tools.
Workforce Management Analyst responsible for contact center employee scheduling, resource optimization, and call delivery strategy execution using WFM platforms (IEX/Aspect) and MS Office.
Build and deploy secure AI/ML systems for NATO, including LLMs and data pipelines, in cloud/hybrid environments while adhering to strict security and compliance requirements.
Consultant designs and delivers Azure-based data and AI solutions for enterprise clients, building ETL pipelines, ML models, and GenAI workflows while aligning with Microsoft’s cloud strategy.
Pre-sales engineer who demos and designs Aerospike’s real-time database solutions for customers, translating complex tech into business value.
Build and optimize ETL pipelines and dashboards for Citi’s internal reporting framework using PySpark, Databricks, and Snowflake to automate billing and deliver business insights.
Full-stack developer building backend services and middleware with Solr/Elasticsearch, big-data tools (Hadoop, PySpark), and Java.
Designs and deploys AI solutions that combine graph databases with LLMs for enterprise customers, translating business needs into production-ready applications using Neo4j’s knowledge graph platform.
Builds and maintains large-scale geospatial data pipelines and search systems that power Mapbox’s global mapping and navigation services using AWS, Python, and SQL.
Build and scale backend systems and data pipelines that integrate AI/ML into FICO’s fraud and decision platforms, using Python/Go/Java, Spark, Kafka, and vector databases.
Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data…
Build and maintain Power BI reports and dashboards for financial data using DAX, SQL, and Hadoop to support business reporting and process harmonization.
Designs, builds, and optimizes GCP-based data pipelines and BigQuery solutions for a banking client, ensuring efficient data access and analytics.
Build and maintain Hadoop-based data pipelines for a bank, writing Python and SQL to process and validate financial data.
Build and deploy AI/ML models in Python to extract insights from large datasets and advise stakeholders on data-driven decisions.
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