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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 Java developer building secure, scalable microservices for public-sector systems using Spring Boot, Vert.X, Kafka, and TensorFlow integrations.
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.
Build and deploy full-stack TypeScript/Node.js apps with AWS serverless, MongoDB/Redis, and CI/CD; own features end-to-end and monitor production systems.
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.
Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Design and build AI-driven agents to automate workflows like data entry and reporting using Python, RPA tools, and cloud AI services.
Build and deploy AI models using Python, PyTorch/TensorFlow, and frameworks like LangChain and LlamaIndex; package models for production and collaborate on R&D.
Build and train AI models (LLMs, CNNs, generative models) using Python and frameworks like PyTorch/TensorFlow to improve datasets and deploy solutions for real business cases.
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
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