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Build and lead AI-powered computer-vision systems for 3D point cloud processing and digital twins that improve infrastructure safety and efficiency.
Develop and deploy deep learning models for AI solutions, focusing on computer vision and NLP, while collaborating with data scientists and engineers.
Develop and implement deep learning algorithms for AI projects using Python, TensorFlow, and Keras, with a focus on computer vision and NLP.
Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Build Azure-based data pipelines and AI models to optimize energy use, advance cancer research, and deploy computer vision solutions for sustainability and healthcare.
Build and maintain a data platform that ingests sensor and video data from farms, enabling computer vision models to deliver actionable insights for farmers.
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Builds React web apps and native iOS apps in Swift with ARKit/LiDAR for AI-powered utility-asset management; backend in Python on Azure/AWS.
Lead full-stack development for enterprise platforms and real-time systems in regulated industries, while identifying where AI adds real value in production workflows.
Builds full-stack web apps in React/TypeScript and Python backends for AI-powered utility-asset management and industrial automation tools.
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 3D visualization tools for home décor using TypeScript, React, Three.js, and Python/Django on AWS, leading projects from concept to launch.
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.
Builds web apps that turn industrial ultrasound inspection data into interactive dashboards and reports for oil & gas clients using Python, FastAPI/Django, React/Vue, and AWS.
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