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Sr. Technical Project Manager
Senior Technical Project Manager leading Agile IT projects for a US federal agency, coordinating data modernization, AI initiatives, and cloud-based analytics using tools like Databricks and Tableau.
General Manager, Data Science & Machine Learning
Lead a 60-person team to build, deploy, and govern enterprise-scale ML and data-science systems for Toyota Financial Services, ensuring regulatory compliance and driving business value in a regulated finance environment.
System Design Stability Date Engineer
Design and maintain data models for nuclear plant configuration, build PowerBI dashboards from Databricks data, and ensure design compliance with UK regulations.
Remote Sales Development Representative for B2B SaaS Company
Work From Anywhere in LATAM or the Philippines Work Schedule: EST │ 8:00 AM – 5:00 PM, Monday–Friday (may extend to 8:00 PM ET depending on coverage needs) About Pearl Talent Pearl works with the top 1% of candidates…
Agentforce - Sucess Architect
Design and optimize AI-driven customer success programs for Salesforce’s Agentforce and Data Cloud, aligning enterprise data architectures with business outcomes and ROI.
Product Manager
Own and drive the AI-powered route optimization platform (SMART) from pilot to scale, translating operational logic into product requirements and collaborating with data science and district teams.
Senior AI Engineer – Agentic Solutions & Digital Thread
Build and lead AI agent systems and RAG pipelines for aerospace/defense manufacturing, integrating with digital thread and MDM under ITAR/EAR constraints.
Senior Analyst, Business Insights
Senior Analyst builds cloud-based analytics dashboards and AI-driven insights for McKesson’s sourcing, logistics, and distribution operations using Databricks, Azure, SQL, and Python.
Data Engineer- Microsoft Fabric
Builds and maintains Microsoft Fabric data pipelines and models to support financial and operational reporting for Maersk’s logistics operations.
Senior Project Manager Data, Analytics & AI
Leads large-scale data and AI programs at PUMA, modernizing platforms and enabling analytics to drive business value across global teams.
Databricks Architect (SC Cleared)
Design and implement scalable data platforms using Databricks and cloud-native tools for a public-sector client, leading teams and enforcing best practices.
Sr Data Scientist
Build and deploy ML models to detect cheating, fraud, and abuse in EA’s games using telemetry, transaction, and behavioral data.
Senior Data Scientist
Senior Data Scientist builds ML models, data pipelines, and BI reports using Python, R, SQL, and Oracle/SQL Server to enable data-driven decisions for enterprise analytics.
Databricks Solution Architect
Design and lead enterprise-scale data platforms on Azure using Databricks Lakehouse, Delta Lake, and PySpark to build scalable ETL/ELT pipelines and advanced analytics solutions.
AI Engineer (San Jose, CA)
Build and ship production-grade AI solutions using LLMs, agents, and RAG pipelines for enterprise clients, integrating with Adobe Experience Platform and other marketing tech stacks.
CRM & LOYALTY ANALYTICS ANALYST
Analyze CRM and loyalty data to build targeted marketing audiences, measure campaign performance, and segment customers using SQL and Python in a Databricks/Azure environment.
Manager - Data Engineering KDP
Lead data engineering initiatives at a global healthcare company, building scalable data pipelines and AI-driven ML workflows to unify ERP, HR, and consumer data into a common model for analytics and business insights.
QMS Specialist (Business Architect)
Configure and maintain Veeva Vault QMS for life-sciences quality processes, integrate with enterprise systems, and build Databricks data pipelines while ensuring compliance and audit readiness.
AI Software Developer, Junior
Junior AI developer integrates Python scripts, APIs, and LLM workflows to automate cybersecurity and mission tasks for Navy clients in a classified environment.
AI Software Developer, Senior
Senior developer building AI-enabled automation and analytics to reduce cyber risk for Navy missions, integrating APIs, data stores, and cloud/on-prem systems in secure, classified environments.