Deep Learning Engineer
ClearML is a unified, open source platform for continuous machine learning (ML), trusted by forward-thinking Data Scientists, ML Engineers, DevOps, and decision makers at leading Fortune 500, enterprises, academia, and innovative start-ups worldwide. We enable customers to build continuous ML workflows — from experiment management and orchestration through data management and scheduling, followed by provisioning and serving — to achieve the fastest time to ML production, fastest time to value, and increased performance.
We help data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation, ensuring their work is reproducible and scalable. ClearML is trusted by brands such as NVIDIA, Philips, Samsung, Hyundai and Bosch.
As a member of the machine Learning team at ClearML, you will have the opportunity to contribute to our mission of transforming the ML space — bridging software, machine learning, and automation . Our team is focused on improving the customer experience of our MLOPs platform and tools through data-driven insights, research, and development.
By joining ClearML, you will have the chance to be a part of a dynamic team that is dedicated to advancing the field of machine learning and helping ML engineers train high-performing, fair, and reproducible models.
Overview:
We are an open source end-to-end MLOPs platform, built by developers for developers.
We’re looking for a Deep Learning engineer to join our growing team. In this role, you will collaborate across our development and product teams and will have a chance to collaborate with our MLOPs experts working in other areas of machine learning inluding NLP, computer vision and DevOps.
The ideal candidate will be an DL Engineer who wants to learn how to analyze large amounts of raw information to find patterns and use them to optimize model performance. You will work with our team to learn to build ML/DL data pipelines to extract valuable business insights, analyze trends, and help us make better decisions.
We expect you to be highly analytical with a knack for analysis, math, and statistics, and a passion for machine learning and research. Critical thinking and problem-solving skills are also required.
Responsibilities:
Requirements:
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