Сучасна диджитал-освіта для дітей — безоплатне заняття в GoITeens ×
We’re NCube, a place where you can work on cool projects with cool people. NCube creates teams of developers and creative problem-solvers who are passionate about designing great software. As a team, we work on different projects but love to relax, share ideas, and make memories together.
16 березня 2020

Deep Learning engineer (вакансія неактивна)

Київ

Необхідні навички

As a Deep Learning Engineer, you will be part of a talented team designing and training state of the art deep learning algorithms to identify placement, presentation, pricing, and availability of products in retail stores across the globe

In this role you will lead various initiatives designing, developing, and training in-house deep learning systems to perform operations such as optical character recognition, image captioning, object segmentation, object recognition, and more

Team: Kyiv — San Francisco

Project: The platform that builds automation solutions for the retail industry. The world’s first fully autonomous shelf auditing and analytics solution; one that provides retailers unprecedented visibility and insight into the state of merchandise in their stores

Experience / Skills:

Must have:

5+ years of machine learning background, with hands-on experience in building real systems

5+ years of experience with Linux & Command Line background

3+ years of experience using or building synthetic image generation systems, data augmentation pipelines, and OCR/image caption systems

3+ years of experience in debugging and diagnosing performance problems with ML algorithms

Demonstrated mastery of state-of-the-art machine learning and deep learning algorithms, techniques and best practices

Proficient in at least one of the following: Tensorflow, Keras, PyTorch. Tensorboard knowledge is a plus

Proficiency with training and running deep learning models on GPUs (both commodity and otherwise)

Demonstrated understanding of recurrent neural networks (including LSTMs and GRUs)

Proficiency with attention models, text localization, Google Cloud Platform, AWS, and serverless is a plus

Ph.D. or M.S. preferred

Demonstrated fluency in Python, other languages are a plus

Upper-intermediate English

Пропонуємо

We offer:

Great team spirit

Modern technologies and management methods

Career opportunities

Flexible working schedule, paid vacations and sick leaves

Medical insurance

Regular parties

Great office location near subway Maidan Nezalezhnosti and Zoloti Vorota

Обов’язки

Responsibilities:

Participate in planning and prioritizing, write functional specifications and lead design reviews for our character recognition and image caption algorithms

Create photorealistic synthetic training data for augmentation

Develop, test, tune, and deploy both CNN and RNN based deep learning systems across a wide variety of customers

Manage and curate real-world training datasets

Evaluate existing frameworks and methods for speed and accuracy performance improvements

Collaborate with other developers, quality engineers, product managers, and documentation writers