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Lead software engineering for cloud-native data, backend, and AI/ML systems at JPMorgan, building scalable production solutions in Python and AWS.
Machine Learning & Data Analytics (Build the Business Engine) Design, build, and validate predictive models end to end - for example churn prediction, Customer Lifetime Value (LTV), and demand or behaviour…
Senior engineer designs, builds, and integrates enterprise solutions using AI/ML frameworks (e.g., PyTorch) and ERP systems, coordinating projects from design to deployment while ensuring on-time, on-budget delivery.
Build AI-powered contact-center and agentic workflows using AWS, LangGraph, and vector databases, deploying scalable GenAI solutions for fintech customer engagement.
Build and deploy production-grade AI and GenAI solutions, integrating models into real-world systems using Python, TensorFlow/PyTorch, and cloud-native tools.
Build and deploy production-grade AI and Generative AI systems in Python, integrating LLMs and vector databases with cloud-native pipelines on AWS.
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Build and maintain full-stack web apps in TypeScript with Node.js backends and React frontends, integrating AI/LLM services and deploying on AWS for regulated industries like compliance and disability services.
Build full-stack web and mobile apps using React, Django, Node.js, and React Native/Flutter, deploy on AWS/GCP/Azure, and integrate AI features.
Senior ML engineer builds and maintains scalable cloud ML infrastructure, deploys LLMs with PyTorch/TensorFlow, and owns CI/CD, Kubernetes, and monitoring for production AI systems.
Lead a team to design and maintain scalable data pipelines for AI/LLM systems, including vector search, RAG, and semantic retrieval, ensuring high-performance enterprise data infrastructure.
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
Senior Data Engineer designs secure data lakehouse pipelines and integrates SAP systems for real-time AI analytics and procurement workflows.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
ESM is looking for an experienced Full Stack Developer to join our team in Dubai, UAE. This role is responsible for designing, building, and scaling modern web applications while delivering secure, cloud-based,…
ESM is looking for an experienced Full Stack Developer to join our team in Dubai, UAE . This role is responsible for designing, building, and scaling modern web applications while delivering secure, cloud-based,…
We’re Hiring: Full Stack Developer – AI / Agentic AI Offshore candidates may also be considered Budget: Up to 18,000 AED per month Valid passport and willingness to relocate are mandatory for onsite applicants We are…
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