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Builds and maintains the high-performance platform that enables seamless, low-downtime migrations to Google Cloud SQL, working across distributed systems and large-scale infrastructure.
Principal Data Scientist builds and scales AI/ML systems for media metadata and discovery, focusing on computer vision, generative models, and multimodal architectures.
Builds and maintains the Linux kernel and Android stack for Pixel USB connectivity, enabling seamless charging and data transfer while optimizing hardware reliability across generations.
Designs AI-driven test automation platforms and generative AI agents to optimize testing workflows for Google’s XR systems, focusing on smart test selection, bug triaging, and system diagnostics.
This Technical Program Manager role within Google Research manages compute resource planning, quota allocation, and demand forecasting for research verticals. The position involves using SQL and data-driven models to optimize infrastructure utilization and collaborating with SRE and engineering teams to automate resource management.
Job Description Position Summary Base-2 Solutions is looking for a top-notch software engineer to join our team. We are driven to solve challenging customer problems by leveraging innovative technical solutions. Our…
Builds scalable distributed systems for Amazon’s fulfillment and logistics tech to speed up order delivery while optimizing cost and reliability.
Build and lead next-gen AI software for AWS Marketplace, designing scalable systems and collaborating across teams to deliver customer-facing solutions.
A VP-level Principal Software Engineer leads development of intraday trading tools for Structured Credit & Financing, collaborating with traders, risk teams, and global tech to enhance workflows, resolve production issues, and build scalable solutions for trade booking, risk/PnL, margin, and reporting in a fast-paced financial services environment.
Principal Data Engineer designs and leads enterprise-scale data platforms on GCP, integrating AI/ML and ensuring reliability, security, and governance for global-scale systems.
Designs, builds, and maintains scalable data pipelines and cloud-based data platforms on GCP to integrate, transform, and enable analytics for FedEx’s logistics operations.
Builds and optimizes scalable data pipelines in PySpark and Databricks to power advanced analytics and AI initiatives for a global consulting firm.
Develops AI-driven predictive models for credit risk and customer behavior using advanced ML techniques, explainability tools, and large-scale data analysis to inform underwriting decisions in a regulated fintech environment.
INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The…
Build and maintain scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud services to transform raw data into insights for analytics and AI workloads.
Design and build large-scale analytic solutions using ECL and HPCC Systems, leveraging Python, R, and SQL to process and model defense-related datasets.
Builds and deploys ML models to analyze store equipment telemetry data, using Python, PySpark, and Azure cloud tools to drive operational insights and efficiency.
Designs and optimizes complex data pipelines, frameworks, and architectures for Amgen’s healthcare data, leveraging Databricks, Spark, and AWS to enable self-service analytics and AI-driven insights.
Design and build scalable data pipelines using Databricks, Spark, and AWS to enable analytics and AI-driven insights for a biotech company.
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