Pengkontenan Jobs

Name : University AI lab setup Description : Multi‑Tenant University LLM Gateway Platform Enterprise Architecture & Technical Design Specification 1. Executive Summary This document defines the enterprise architecture for a scalable, secure, and multi‑tenant AI platform that enables universities to provide controlled access to Large Language Models (LLMs) for students. The system provides governance, quotas, observability, cost control, and white‑label capabilities so that multiple universities can run their own branded AI environments on a shared platform. 2. Business Objectives • Provide controlled LLM access for students and faculty • Support multiple universities on a single platform (multi‑tenant) • Reduce AI infrastructure costs through routing and caching •...

Senior Python Developer – Containerized Geospatial Processing Library (Azure) ​Project Overview: We are seeking an experienced Senior Python Developer with deep expertise in geospatial data handling (GIS) and Docker containerization. The objective of this project is to build a robust, standalone Python library and execution environment that performs standardized geoprocessing tasks on vector and raster datasets. ​The final deliverable must be a highly secure, containerized microservice capable of reading from and writing to Azure Blob Storage, with strict input validation. ​Core Tech Stack: ​Language: Python 3.11+ ​Geospatial Libraries: GeoPandas, Rasterio, Shapely, PyProj, Fiona ​Validation: Pydantic ​Cloud: Azure SDK (Blob Storage, Key Vault, Identity) ​Infrastructure: Docker (Alpi...

I need a containerlab expert who can be my parter in setting up and managing a library of labs. I do topology discovery. I need SNMP, gNMI, Netconf and REST access to the lab from my desktop. Initially, each lab will be static. Eventually, I would like labs that change topology over time. Labs in GitHub Codespaces would be optimal but willing to consider other options.

Project Overview I am building a B2B AI automation platform for small and medium businesses. The platform monitors email and calendar, surfaces intelligent summaries and recommended actions, automates repetitive GUI workflows across web applications, and gives teams an AI assistant accessible via a Chrome extension sidebar. This is a production build — not a prototype. The platform needs to be ready for real paying customers at the end of the engagement. What You Will Build The full product, end to end. This includes: • A Python backend API deployed on a cloud platform, handling authentication, AI routing, cost management, and all business logic • A Chrome Manifest V3 browser extension with a sidebar interface — the primary user surface • Continuous ...

I’m building a virtual DeepseekV3 environment that emulates Jet Nano hardware for research and development on machine-learning models. The goal is to give my team a sandbox where we can move seamlessly from data preprocessing and feature extraction through model training, evaluation, deployment, and monitoring—without touching the physical board until we are ready. Here’s what I need: • A reproducible simulation that mirrors Jet Nano’s CUDA-enabled GPU, memory constraints, and I/O. • Containerised tool-chain (PyTorch, TensorRT, cuDNN, etc.) with scripts that cover the full life-cycle: preprocessing, training, hyper-parameter sweeps, evaluation metrics, and a mock-deployment stage that tracks resource usage and latency. • Clear documentation so a...