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Platform Test Automation Engineer validating automotive software platforms (SDV, ECUs, Car-to-Cloud) for VW's CARIAD, using Python, Robot Framework, and AI-driven testing methodologies.
Build and deploy ML/AI models for logistics optimization, fleet analytics, and real-time decision systems using Python, Google Cloud, Kafka, and LLMs.
You will help modernize how audiences are built, activated, and measured—using automation and responsible artificial intelligence to improve speed, quality, and performance. You will partner across marketing, sales,…
Lead SRE focused on designing and implementing AI-driven solutions for observability, intelligent alerting, and automation in fintech applications, ensuring reliability and scalability of AI-powered infrastructure.
Leads data science initiatives to optimize customer journeys and anomaly detection in JPMorgan Chase’s branch channel, focusing on attribution modeling, causal inference, and cross-LOB recommendations. Manages a team of four and drives end-to-end delivery from strategy to production.
Leads a firmwide legacy analytics decommission and migration to modern cloud-native tools for JPMorgan Chase’s Commercial & Investment Banking unit, owning inventory analysis, migration planning, and cross-functional execution to replace thousands of reports/schedules with scalable solutions while ensuring regulatory continuity.
The Machine Learning & Data Operations Engineer will build and maintain ML/AI infrastructure to support drug discovery, focusing on model deployment, scalable inference, and robust data pipelines. The role involves managing the full lifecycle of models and data quality using technologies like Kubernetes, Python, Go, and various cloud-native tools.
Grow your career at Cedars-Sinai! We were recently named one of the "Best Places to Work in IT 2025" by Computerworld and ranked #2 among large organizations for hybrid work. The organization’s Healthtech…
Job Description Grow your career at Cedars-Sinai! We were recently named one of the 'Best Places to Work in IT 2025' by Computerworld and ranked #2 among large organizations for hybrid work. The organization’s…
This is a summer 2027 Data Scientist internship at Mastercard, where the intern will work with the ONE Data Strategy team on data platform architecture, observability, and analytics. The role involves applying data engineering, machine learning, and visualization techniques to support enterprise data strategy.
Principal Process Manager As a Principal Process Manager in the Centralized Team, you will be working with the Agency Finance Deal Teams and Centralized offshore teams to support loan Originations and related…
The Program Manager will lead analytics, AI readiness, and process modernization initiatives for the DOI Indian Affairs Office of the Chief Financial Officer. The role involves designing Power BI dashboards, automating workflows using the Power Platform, and developing AI use cases within federal security constraints.
The Senior Data Scientist will develop predictive models and perform advanced statistical analysis on healthcare datasets to improve patient outcomes and clinical workflows. The role requires expertise in Python, SQL, and big data frameworks to build AI-powered healthcare applications.
Design and build AI-enabled executive dashboards and scalable data models for Visa's Finance platform using Power BI, Tableau, SQL, and Python, while driving AI/LLM adoption across Finance BI workflows in a hybrid role based in Bengaluru.
Analyze financial crime data using SQL, Python/R, and AI/ML tools to detect money laundering, fraud, and sanctions violations for a remittance/fintech company in Manila.
Role overview As a generalist Business Analyst for trading systems, you will turn FX/CFD trading and dealing needs into precise, testable requirements and operating workflows. You’ll partner daily with Product…
Engineer/Analyst – Data Historian System Administrator Monitoring & Diagnostics (M&D) JOB SUMMARY This position will function as part of the Southern Power Monitoring & Diagnostics (M&D) Center, which…
Mid-level Data Scientist building machine learning and applied AI solutions for clients using Python, Databricks, and cloud platforms (GCP, Azure) in a remote, Americas-collaborative role.
Leads data-driven product development for optimization and decision-support tools, collaborating with data science, engineering, and design teams to translate models into production software that improves operational efficiency.
Lead Product Manager owning the strategy and development of AI-powered trust intelligence, fraud risk scoring, and digital identity products for a telecom/digital identity platform, collaborating with data science, engineering, and enterprise customers.
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