Напиши текст вакансии для должности "Machine Learning Team Lead". Название компании: "APALON". Расположение: Москва. График работы: Удаленная работа. Опыт работы: Более 6 лет. Ключевые навыки: 'Python', 'Tensorflow', 'PyTorch', 'Mobile', 'ML'

Apalon is a leading mobile development company. The unique blend of technology and art that make up the company’s DNA, enables Apalon to deliver unrivaled products. Apalon&#39;s portfolio includes award-winning titles such as NOAA Radar, Weather Live, Productive, Sleepzy and more. Apps by Apalon have earned massive recognition with 600+ MLN downloads, received numerous prestigious awards, and have been featured by Apple, Google, Amazon, Samsung, as well as world&#39;s leading press. We are looking for an AI/ML Team Lead. Responsibilities:  Provide technical leadership for a team of ML engineers, creating and supporting a culture of knowledge sharing, technical excellence and fun. Work closely with product teams to integrate ML in product strategy, build ML enabled features in new and existing products. Be responsible for team growth, hire, retain, develop, mentor and coach team members to unlock their potential. Dive deep in current processes and be able to advise improvements if necessary. Propose, create and improve development infrastructure for ML projects.  Qualifications:  2+ years leading a team of engineers, working collaboratively with product and engineering teams. 4+ years of experience building top notch technical solutions including high performance ML products. Broad understanding of ML/CV approaches and practices. Deep Learning: classification, detection, segmentation (semantic + instance). Experience with deep learning frameworks (TuriCreate/CoreML, Tensorflow, Pytorch, etc.). Production experience with building ML pipelines including CI/CD, ML Ops. Strong Python programming skills. Knowledge of basic OOP, computer science algorithms and data structures. Communicate openly. Ability to build a collaborative environment.  Preferred:  BS/MS/PhD degree in Computer Science, Math or Physics. Experience with C++ or mobile development. Experience with ML on mobile platforms (iOS &amp; Android). Solid experience with Linux, Git. Working knowledge of cloud computing (GCP or AWS) and tools and technologies Kubernetes, Docker, etc.