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Senior MLOps Engineer in Singapore builds and maintains AWS-based pipelines to deploy, scale, and monitor machine learning models for manufacturing and semiconductor analytics, focusing on GenAI and classical ML workflows.
Designs scalable, AI-ready data architectures and advises on cloud/hybrid solutions, governance, and emerging tech like Data Mesh for real-time analytics and model training.
Builds and maintains full-stack Java applications for Citi’s fintech platforms, focusing on microservices, cloud-native development, and scalable architectures while collaborating with agile teams.
Designs and implements scalable, secure Google Cloud (GCP) architectures for customer digital transformation, leading cloud engineering teams and advising on cloud adoption strategies.
Application deadline: Sep 11, 2026 Are you passionate about helping mission-critical organizations succeed in the cloud? At AWS Enterprise Support, we're looking for a Technical Account Manager (TAM) to serve as…
Application deadline: Sep 6, 2026 AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional…
Application deadline: Sep 11, 2026 AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional…
The Platform Engineer will build, secure, and automate an enterprise data platform using Databricks and cloud infrastructure. The role involves managing CI/CD pipelines, job orchestration, and platform observability to support data engineering teams.
The Lead Data Engineer will manage and optimize the enterprise Databricks Lakehouse platform, focusing on performance tuning, data governance via Unity Catalog, and implementing AI-native operational workflows. The role involves designing scalable pipelines, mentoring engineering teams, and collaborating with vendors to ensure platform reliability and cost-efficiency.
The Senior Data Engineer will design and maintain scalable data pipelines and Lakehouse solutions using Databricks. The role focuses on performance tuning, cost optimization, data governance via Unity Catalog, and implementing AI-assisted automation for data operations.
Senior Solutions Architect acting as design authority for Kaplan International Pathways' migration to a modern Azure/Microsoft 365 cloud-native estate, governing architecture decisions, enforcing API-first integration patterns, and bridging legacy PHP systems with SaaS/PaaS platforms from the Bangalore office.
Senior Software Engineer designing and developing enterprise telephony and contact center solutions integrating Amazon Connect with Salesforce Voice. Day-to-day work involves building IVR applications, AWS Lambda functions, call routing strategies, and REST/SOAP API integrations between AWS and Salesforce platforms.
The Senior Data Engineer designs and maintains scalable data infrastructure and ingestion frameworks on AWS to support financial reporting. The role involves collaborating with cross-functional teams, mentoring junior engineers, and utilizing Python, SQL, and big data technologies.
SQA Analyst embedded in a Flutter product team for a higher-education student accommodation platform, owning a Playwright/TypeScript automation suite and performing manual testing across iOS, Android, and web, using AI assistants (Claude) as part of daily QA work.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
The Principal Software Engineer will lead the design and delivery of cloud-native platforms and agentic AI-enabled engineering workflows at JPMorgan Chase. This role involves defining architecture standards, mentoring engineering teams, and leveraging generative AI to improve developer productivity and operational excellence.
Lead complex, multi-functional technology programs for Model & Analytics at JPMorgan Chase, managing scope, timelines, budgets, and cross-functional teams. Technologies span cloud (AWS), CI/CD pipelines, data platforms (Databricks, Spark), and AI/ML workflows.
This role involves developing a web platform for AI-powered architectural visualization, acting as the bridge between AI research and user-facing features. You will work across the full stack using React, Next.js, TypeScript, and cloud-based backend services to integrate AI pipelines into a professional SaaS product.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
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