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Build and deploy fraud-detection models and GenAI/LLM solutions using Python, Spark, and cloud platforms to protect credit data and financial transactions.
Lead incident response, hunt threats, and strengthen Medtronic’s defenses by analyzing SIEM alerts, malware, and cloud risks to protect patient-critical systems.
Leads AI and data product strategy for Mastercard’s payments ecosystem, defining roadmaps for GenAI, predictive analytics, and customer intelligence solutions while collaborating with engineering and commercial teams.
Data Scientist III at Daikin Applied works in an R&D lab for HVAC products, developing data automation strategies, building Power BI dashboards, writing Python/SQL scripts, and creating ML models to support laboratory analytics and decision-making.
Solution Consultant advising financial institutions on AML/sanctions screening integrations, API-based data pipelines, and risk-intelligence analytics using Python/Java and cloud platforms.
Build and deploy enterprise-scale AI/ML models to improve operational efficiency and customer outcomes, working with engineers and product teams to move solutions from concept to production.
Secures AI/ML systems by identifying and mitigating risks like adversarial attacks, data poisoning, and prompt injection across models, pipelines, and cloud deployments.
Assess and mitigate security risks in AI/ML systems, including adversarial attacks and data poisoning, while implementing controls across the AI lifecycle.
Lead a team maintaining HPE NonStop payment infrastructure, focusing on security and AI-driven automation to ensure high availability and compliance for JPMorgan Chase.
Senior analyst building fraud-detection dashboards in Tableau/Power BI and running SQL/Python/R analyses to spot suspicious card and transaction patterns for a large bank.
Designs and runs automated tests for enterprise networking hardware and software, using Python frameworks and AI-assisted tools to validate performance, security, and interoperability in hybrid office settings.
Senior Cloud Engineer at Freddie Mac automates, secures, and modernizes enterprise platform tools (Kafka, AMQ, Apigee, Vault) using AI-driven automation and AWS infrastructure.
Owns AI cost management at T-Mobile: designs showback/chargeback models for token and LLM spend, builds optimization tooling, and manages licenses for platforms like OpenAI and Anthropic to ensure every dollar and seat is tracked and reclaimed.
Design and automate tests for HPE’s high-performance networking gear, using Python frameworks and AI-driven tools to validate security, performance, and interoperability in hybrid lab environments.
Career Category Information Systems Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living…
Position Title: Senior Data Scientist, Software Engineering Position Duties/ Requirements: Research, design, and implement advanced machine learning (ML) solutions, including image classification, time series and…
Senior AI Engineer builds and deploys production-grade AI agents and RAG systems for ACQ Vantage, integrating LLMs with internal tools and optimizing performance and costs.
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the…
Lead AI-driven pricing and financial reconciliation systems for a global travel platform, designing model-integrated infrastructure that sets reference prices, detects anomalies, and ensures revenue integrity across millions of transactions.
Lead ML architecture and production systems for a global game-commerce platform, building fraud/anomaly detection, recommendations, and LTV models at scale across billions of transactions.
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