Напиши текст вакансии для должности "MLOps Engineer". Название компании: "Samsung Research Center". Расположение: Москва. График работы: Полный день. Опыт работы: Нет опыта. Ключевые навыки: 'PyTorch', 'Python', 'Docker', 'Git', 'Linux', 'MLOps', 'CUDA', 'C++', 'Tensorflow', 'CI/CD', 'Machine Learning'

We at Samsung AI Center are looking for a MLOps engineer for several computer vision projects. We are doing R&amp;D projects in generative computer vision and 3D computer vision, which require a lot of data processing, storing and experiments and we want to improve our main research and production pipelines. Responsibilities:   Benchmarking our hardware and software setups on clusters   Collecting and serving different docker images and repository   Creating new tools to improve our experiments tracking and deployment pipelines   Continuously support our engineers in best code practices and automation of all development pipelines   Introduce CI/CD tools in our working process   Probably take part in NAS and mobile networks papers   Maintain our local clusters, monitor jobs and support software updates   Write and run scripts in python and bash to process raw data, collect statistics, clean, store dataset and show real time previews   Requirements: Professional experience with   Maintaining linux-based servers and clusters, including CUDA   Python, Pytorch, Tensorflow, Bash scripts   Any frontend development framework (e.g. Angular, React, Vue.js)   Docker, Kubernetes, KubeFlow   Nvidia NGC docker repo, Nvidia Triton Inference server   Basic data exchange protocols, e.g. GRPC, JSON, Mosquitto Buffers   Experience with data storage formats, such as SQL, LMDB, HDFS and parallel/distributed files systems, e.g. GPFS   As a plus:   Got ML and DL algorithms knowledge   Experience with writing/reimplementing ML/DL papers   Contributed to open-source github projects   Have a track of contributions to IT products and services   Experience with TFLite and Mediapipe   Professional C++/CUDA, OpenCL or OpenGL experience   Experience with MLFlow/ Neptune.ai/ Weights and Biases and other experiments tracking software   Experience with Fairscale, Torch DDP, Pytorch Lightning, Tensorflow Extended, GPipe   Work conditions:   Great team with a track of papers on top conferences   Challenging research &amp; engineering tasks at the cutting edge of the modern computer vision   Nice office in 2 minutes from Belorusskaya Circle Line   Competitive salary   Corporate lunches   Medical and life insurance.   7 days of paid sick leaves (without sick leave certificate)   Corporate discount on company goods   Flexible working time   Full compliance with Russian Labor Code   Fitness room, shower, partial fitness compensation   Company compensates relocation and interview expenses   About us:   Samsung AI Center Moscow has been founded in 2018   We are located in White Square business center   We currently have three labs (Visual Understanding, Multimodal Data Analysis, Machine Learning)Project topics include:   Generation of photorealistic human avatars   Point clouds-based 3D image and video synthesis   Techniques for image manipulation using generative networks   Training neural networks using Bayesian methods   Creation of multi-agent systems   Single-view and multi-view 3D reconstruction   Localization and navigation using 3D visionAnd more!       Over the past three years, our researchers have published more than 30 papers at the world&#39;s best conferences on computer vision and machine learning, including CVPR, ICCV / ECCV, NeurIPS, ICML, ICLR, IROS, WACV and others.