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Senior iOS engineer at Google building monetization features for Google Maps, designing scalable mobile systems and collaborating on large-scale ad-tech infrastructure.
Build and maintain iOS applications and platform-level mobile software for Google’s first-party devices and services, using Swift/Objective-C and C++ at scale.
Lead a team of iOS engineers building next-generation user interfaces for Google's XR glasses, defining spatial computing experiences and integrating helpful AI.
Build and maintain the iOS SDK for Google One, enabling premium features and AI capabilities across Google apps like Photos, Gmail, and Drive.
Build and maintain Google’s iOS apps and platform integrations, writing production code in Swift/Objective-C and C++ while mentoring junior engineers.
Senior iOS engineer at Google building monetization features for Google Maps, including design, testing, and large-scale system architecture.
Lead AI/ML Data Scientist - VP Location: Mississauga, Ontario, Canada Employment Type: Regular About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than…
Senior Vice President - Data Science and Artificial Intelligence Group Manager - Hybrid Location: New York, New York, United States, Wilmington, Delaware, United States Employment Type: Regular Data Science and…
Lead AI/ML Data Scientist- Vice president Location: Chennai, Tamil Nadu, India Employment Type: Regular About the Team: Citi is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and…
Builds and maintains data pipelines and analytics platforms to support machine learning initiatives for a leading technology company.
Builds and maintains scalable data pipelines and cloud infrastructure in AWS to support healthcare analytics and life-sciences research.
Build and operate a hybrid cloud/HPC compute platform for GSK’s R&D teams, focusing on scalable workflows, CI/CD, and metadata-driven automation to accelerate drug discovery and data analysis.
Lead a team of data scientists to build and deploy AI/ML models, including LLMs and generative AI, that turn large volumes of structured and unstructured data into actionable insights for enterprise clients.
Lead a team to architect and scale Citi’s enterprise data platforms, building high-performance pipelines and feature stores that power AI, machine learning, and real-time analytics across the bank.
Designs, builds, and maintains Java-based low-code/no-code applications and microservices for a global financial firm, using Spring, Kafka, and cloud-native tools.
Designs and builds machine-learning models and data pipelines to analyze customer behavior, segment audiences, and optimize marketing campaigns for a video-collaboration platform.
Designs and optimizes high-performance AI infrastructure for large-scale GPU clusters, working with top tech companies to accelerate generative AI workloads and reduce costs.
Maintains and optimizes IT infrastructure for a space technology company, handling OS, networking, virtualization, automation, and backup systems in a hybrid on-site role.
Lead a team to design, build, and optimize data pipelines and warehouses using Python, AWS, Spark, Kafka, SQL, Snowflake, and Databricks to deliver hyper-personalized marketing experiences at scale.
- 1+ years of non-internship professional software development experience - Experience programming with at least one software programming language - Bachelor's degree in computer science or equivalent Amazon is an…
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