Position: Computer Vision Data Engineer  (DLGLS)
Company: GlobalLogic
Experience required: 2y
English level: intermediate

Required competences:

- Data engineering/science experience (including tools such as databases, processing pipelines, etc.)
- Python (strong OOP, algorithms, data structures, design patterns,
functoools, itertools, threading, multiprocessing, collections, concurrent. futures)
- Python data-processing toolkit (numpy, scipy, pandas)
- Computer vision (deep learning will be a plus)
- Computer Graphics (OpenGL)
- Linux
- Docker
- Git


Job Responsibilities

Contribute to various activities related to vision data refinery, some examples:

- Implementing and extending tools for automatic checking of raw data and annotations quality
- Automation of the data exchange with annotation companies
- Data curation (gathering data into collections according to requirements of deep learning and feature teams)
- Development and monitoring function/feature KPIs (how changes in data influence function/feature performance and quality)
- Improving speed and efficiency of data and training pipelines
- Implementing dashboard for monitoring data collection, storage, and annotation
- Development of microservices/API towards external users


What We Offer

Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to participate in creating market-defining products using the latest technologies.

Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible opportunities and options.

Professional Development: Our dedicated Learning & Development team regularly organizes certification and technical/soft skill training to help you realize your professional goals.

Excellent Benefits: We provide our consultants with competitive compensation and benefits

Fun Perks: We want you to love where you work, which is why we host sports classes, cultural, social, and team-building activities such as sports competitions and end-of-year corporate parties. Our vibrant offices also include dedicated GL Zones and rooftop decks where you can drink coffee or tea with your colleagues over a game of table football or darts.