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Build and operate Kubernetes and AWS infrastructure for an AI-powered quantitative trading platform, focusing on reliability, security, and scalability for model serving and developer tooling.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Design and maintain cloud-based ELT/ETL pipelines and data infrastructure to deliver research-ready datasets for a global scientific intelligence team.
Principal engineer defining and building next-gen AI agent platforms on Oracle Cloud Infrastructure, leading multi-team execution and hands-on design of scalable, secure, and cost-aware agentic systems.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Build and ship production-grade AI agent systems end-to-end, designing architectures, writing code, and implementing rigorous evals and observability for reliable agentic products.
Consultant builds AI/ML models and data pipelines for clients, using Python, SQL, and frameworks like TensorFlow/PyTorch to turn messy data into actionable insights.
Build and maintain full-stack .NET applications using C#, ASP.NET Core, and Entity Framework, while integrating AI tools like OpenAI and vector databases.
Designs and maintains enterprise data solutions, builds AI/ML pipelines, and creates BI dashboards using Azure, Python, and AI tools to support business analytics and decision-making.
Designs and builds enterprise data pipelines, warehouses, and AI solutions in Azure to support analytics and automation, using Python/C# and AI-powered coding tools.
Build and maintain a full-stack insurance risk exchange platform using TypeScript, Svelte, AWS, and Postgres, with AI-assisted development workflows.
Lead AI systems design for Thomson Reuters’ Audit Suite, building scalable backend orchestration for generative AI agents, retrieval workflows, and MCP servers in C#/.NET and Python.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.
Build and scale AI/ML pipelines and GenAI systems for GE HealthCare, automating model deployment, monitoring, and lifecycle management across hybrid/multi-cloud (AWS, Azure).
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