Middle/Senior MLOps Engineer віддалено Unidatalab islooking for aMiddle/Senior MLOps Engineer tojoin our team! Weare aboutiqueAI company providing RnD services and tech solutions inthe field ofConversational AI, SpeechTech, and Natural Language Processing. Our primary expertise includes building voice interfaces (speech recognition, voice cloning &transfer, speaker identification, etc.) and AI-powered digital assistants/chatbots that are able togenerate fluent human speech and handle natural
Middle/Senior MLOps Engineer віддалено Unidatalab islooking for aMiddle/Senior MLOps Engineer tojoin our team! Weare aboutiqueAI company providing RnD services and tech solutions inthe field ofConversational AI, SpeechTech, and Natural Language Processing. Our primary expertise includes building voice interfaces (speech recognition, voice cloning &transfer, speaker identification, etc.) and AI-powered digital assistants/chatbots that are able togenerate fluent human speech and handle natural conversations and dialogs. Requirements: Proficiency inAWS CloudFormation for infrastructure automation; Proficiency inTerraform for infrastructure automation; Strong programming skills, particularly inlanguages like Python; Experience with AWS services; Experience with one ormore MLOps tools like Kubeflow, Clearml, MLflow, and AWS Sagemaker; Experience with one ormore model-serving solutions like AWS Sagemaker Endpoints, Nvidia Triton, Pytorch Serving; Upper-Intermediate level ofEnglish. Responsibilities: Review current DataScience flows onthe project; Prepare specs for the centralized DataSciense platform; Develop and implement the platform; Develop AWS CloudFormation orterraform templates for configuring AWS services; Design data pipelines for ingestion, preprocessing, and distribution data; Create and manage custom AWS models.