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Build and maintain AI-powered data pipelines and infrastructure for document automation, deploying LLM agents and ensuring scalable, reliable AI systems in production.
Build and deploy AI models and data pipelines to optimize media strategies and operations for clients.
Builds and deploys AI-driven synthetic data pipelines using diffusion models and differential privacy to create privacy-safe datasets for enterprise clients.
Build and maintain NATO’s secure, scalable data infrastructure using Python, Kubernetes, and cloud/airgapped tooling to power reliable data pipelines and AI/ML workloads across the Alliance.
Build and deploy AI systems for enterprise customers, handling ML infrastructure, DevOps, and end-to-end AI solution integration across cloud and on-prem environments.
Build and ship production-grade AI-powered applications end-to-end, blending full-stack engineering with applied AI (LLMs, RAG, agentic workflows) using Python, React, FastAPI, and cloud infrastructure.
Full Stack Data Scientist building ML models and web apps to drive retail insights and customer analytics at a large ecommerce company.
Builds and deploys full-stack AI applications using PyTorch/TensorFlow, collaborating with product and customer teams to ship production-grade AI systems.
Build and deploy full-stack AI applications using PyTorch/TensorFlow, working with product teams and customers to ship production-ready AI solutions.
Build production-grade AI applications from idea to deployment, integrating machine learning, computer vision, and LLMs into end-to-end systems for document processing.
Build production-grade AI applications end-to-end, integrating machine learning, computer vision, and LLMs with backend and frontend systems for document processing.
Build full-stack Android predictive-maintenance features using Kotlin, Compose, and ML models (TensorFlow/PyTorch) to detect hardware/software issues before they occur, spanning device kernel to cloud.
Build and scale AI-powered backend services in Node.js/TypeScript on AWS to power On Air’s streaming platform, integrating ML models and APIs for content optimization and recommendations.
Builds and maintains Python-based engineering tools (FastAPI, REST APIs, Docker) that help MEMS developers design and produce ultra-precise timing devices.
Senior full-stack developer building AI-powered web services with React, Python, and Azure, leading teams and mentoring junior staff.
Build and optimize cloud-based software for a cleantech scale-up, integrating AI/ML models and geoscience data to map underground mineral deposits using muon tomography.
Build cloud-native full-stack apps for Ontario’s government, integrating AI/ML models (e.g., computer vision) with React/Next.js front ends, Python FastAPI back ends, and .NET Core services.
Backend engineer at a GenAI startup building scalable Go/Python systems for AI-powered avatar and video generation, serving millions of creators.
Build and deploy ML models for a sales-enablement platform, collaborating with data science and product teams to improve model performance and scalability.
Build and fine-tune LLMs and NLP pipelines for an AI-powered language-learning platform, integrating agentic workflows and model-serving tools.
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