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Architect and build scalable AI and data pipelines for scientific applications, focusing on clean, reusable datasets and end-to-end model training workflows using Python and cloud technologies.
Build and optimize distributed orchestration frameworks for large-scale ML training and inference in Kubernetes, focusing on resource efficiency and next-gen recommendation systems.
Build and maintain CI/CD pipelines, container tooling, and developer platforms in Java to streamline SDLC for thousands of engineers at a global investment bank.
You’ll design and run AWS-based infrastructure, automate deployments with GitOps (ArgoCD, Tekton), and keep EKS clusters and observability stacks (Prometheus, Grafana) humming—ensuring global reliability and fast incident response.
Build and maintain AI-powered web apps using Node.js (Koa/Nest.js) and React/Vue, integrating AI tools for coding and leveraging LLM APIs while ensuring code quality and security.
Principal Software Engineer at EY leads complex AI and cloud-native projects, designing scalable solutions in C#/Java/Python and optimizing AI models for production use.
Build and lead a GenAI platform and AI agents for healthcare, enabling rapid development and deployment of medical assistant agents that millions of physicians will use.
Senior Full Stack Developer building and maintaining Dynamics 365-based solutions with React.js frontends and .NET backends, mentoring teams and driving technical standards.
Lead a team to design, build, and deploy AI models for Saudi Aramco’s business units, turning data into predictive insights and production-ready solutions.
Senior Software Engineer builds and deploys AI-driven systems using React, Next.js, Node.js, FastAPI, and integrates LLMs like ChatGPT and Azure OpenAI into production solutions.
Build ML forecasting models and LLM pipelines to analyze tax-compliance support data, then translate insights into clear narratives for leadership.
Build and maintain AI-powered data pipelines in Azure Fabric, integrating OpenAI APIs to process, classify, and analyze large datasets for business use cases.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Senior ML engineer builds multimodal medical imaging AI systems—foundation models, report generation, lesion detection—using Python/PyTorch and collaborates with clinicians to deploy in hospitals.
Build and optimize LLM-based trading tools like Q&A systems and agents using Python, prompt engineering, and transformer models for a crypto derivatives exchange.
Lead training, alignment, and optimization of large language models using RLHF, SFT, and quantization; build reward models, red-team models, and optimize inference pipelines in Python/C++/Rust.
Build and deploy deep-learning NLP models, fine-tune LLMs, and implement RAG and agentic AI systems while maintaining MLOps pipelines.
As a GSC Data Transformation & Automation Engineer, you are responsible for ensuring reliable data ingestion, transformation, and maintenance to support business decision-making. You lead the creation and evolution…
Build and deploy AI-powered coding agents and agentic frameworks using Python, TypeScript, and React; own cloud deployments, CI/CD, and quality assurance for AI-generated code.
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