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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.
The SME Platform Engineer will design and manage secure, on-premises cloud infrastructure to support AI/ML workloads and data science platforms. The role focuses on Kubernetes orchestration, GPU cluster management, and CI/CD automation within a high-security government environment.
The SME Platform Engineer will lead the design and management of secure, on-premises cloud infrastructure to support AI/ML workloads and data science platforms. The role focuses on Kubernetes orchestration, GitOps methodologies, and maintaining high-performance GPU clusters within a secure, FIPS-compliant environment.
The Advanced Analytics Engineer will design and build scalable data pipelines and workflows to support AI and machine learning initiatives at Oliver Wyman's new Lisbon hub. The role requires expertise in Python, PySpark, and Databricks to process structured and unstructured data within a hybrid work environment.
The Senior Software Engineer II will design, develop, and deploy scalable AI-powered solutions by integrating machine learning models into production environments. The role focuses on MLOps, API development, and optimizing AI workflows using technologies like Python, Docker, Kubernetes, and various cloud AI services.
This role involves developing cross-platform mobile shopping experiences for Google Pay using Flutter and Dart. The engineer will collaborate with cross-functional teams to integrate AI/ML models and LLM-based features into the application.
This role involves developing and maintaining server infrastructure for Google Pay, focusing on performance, latency, and reliability for large-scale user flows. Engineers will work across the full stack using languages such as Java, Python, Golang, or C++ to support critical features for millions of users.
Mobile Software Engineer on Google Pay's client infrastructure team, building and scaling a high-performance Flutter application to 400M+ users, focusing on core architecture, release systems, performance optimization, and developer tooling using Dart, Flutter, Android, and iOS technologies.
Mobile Software Engineer on Google Wallet's Digital Car Keys team, building native Android app features and scalable serving infrastructure for vehicle OEMs using Java/Kotlin, NFC, and secure element integrations.
This role involves developing and maintaining ML-driven features and data pipelines to extract and import pass data from sources like Gmail and Photos into Google Wallet. The engineer will design server-side infrastructure and machine learning models to process multimodal inputs such as PDFs and images to enhance the Google Wallet user experience.
The Principal Data Engineer leads enterprise data governance, master data management (MDM), and scalable data platform architecture initiatives. The role involves utilizing AI/ML, cloud-native technologies, and distributed computing to support business-aligned data modeling and analytics.
Senior Technical Architect focused on Azure Databricks, providing architectural solutions, driving PoCs, mentoring teams, and leading complex consulting engagements for clients in Pune.
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