Программисты — удалённая работа в Санкт-Петербурге

Пожелания и особенности: Требуется на постоянную основу full stack developer Работа удалено Выплаты 2 раза в месяц Full stack middle, middle+, senior Хорошее Знание Английского обязательно Company and mission We're developing software to provide safety and security to the workplace. We're primarily focusing on maritime industry as our founders have a broad experience and connections. Our product consist of two parts - CCTV AI system and incident investigation chat bot. By using CCTV AI system we're aiming to prevent incidents before they happen. We're collecting data from open data sources and from our clients. We value privacy of the data very seriously, so not every data can be used to train general purpose model. Our platform allows us to train tailored models for a specific client's use case and seamlessly deliver them to the client edge devices. For chatbot we employ our infrastructure to seamlessly deliver open source LLM model such as LLama, Mistral to client edge devices and provide infrastructure to interact with them by the Cloud. We're currently using Prompt engineering, but looking to expand our tooling with Fine tuning and other tailoring techniques. Job description We're looking for a passionate software engineer that would help us to develop infrastructure of EVI platform. Depending on your background we can offer a broad number of challenges that include Developing edge device software, integrating them with cloud and orchestrating ML models with docker. Also provide support to our ML team to train models more efficiently Developing API gateway that provide API for our devices and frontend in a secure manner. We treat privacy our customers very seriously Developing frontend to provide our customers great experience for configuring and support of our system Our Tech Stack React + openAPI for Frontend Golang, openAPI GCP for API gateway. Knowledge of authorization protocols is a strong advantage Golang, openAPI, docker API for device management software. Python for ML video and text models. We're using yolov8 for video analysis and LLama for text models. Basic knowledge of different video formats and OpenCV is an advantage Python, GCP for CI/CD.