GlobalLogic Ukraine is inviting a Data Science Lead

Globallogic is proactively building a Machine Learning practice to meet the increasing market needs in this domain.

Requirements:
- A mathematician or relevant education,
- Deep understanding of modern machine learning techniques and algorithms
- Proven expertise in machine learning theory and practice
- Python/Java/Scala development experience 5+ years
- Practical experience in Architecture design ML solutions
- Experience with at least one high-end ML development environment (Tensorflow, Pytorch, Caffe, etc.)
- Hands-on experience using Cloud ML tools (Sagemaker, Azure Machine Learning Studio, etc.)
- Nice to have practical experience working with Big Data tasks

Preferences:

Spark, Java, Scala

Responsibilities:
- Responsible for leadership of key initiatives within the machine learning team
- Working with various ML tasks building architecture, task decomposition, and estimates
- Pre-sale support and presentation of our expertise for the clients
- Collaborate with the team to build internal PoCs

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. By leveraging Agile / Lean MVP methods, cutting-edge technologies, and an integrated approach to experience design and complex engineering, we empower global brands such as Microsoft, BMC, Coca Cola, Samsung, Physio Control, and Roku to develop the “next big thing” in their markets. GlobalLogic is headquartered in Silicon Valley and operates design and engineering centers around the world, where we are continuously recognized as a top innovator and employer by organizations like Zinnov and Glassdoor.

Company website:
http://globallogic.com

DOU company page:
https://jobs.dou.ua/companies/globallogic/

This job is no longer active.
Смотреть актуальные вакансии Lead / Architect / CTO Kyiv→.

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