Overview

Are you passionate for the latest advances in Data Science, Deep Learning and Natural Language Processing ? Come and be part of the IHS Markit’s Artificial Intelligence (AI) team! We are building natural language processing, information retrieval, document understanding, data mining and knowledge engineering solutions into IHS Markit intelligent products that serve all major industries and markets.

Minsk engineering division of IHS Markit is looking for a Principal Machine Learning/Data Science Engineer to join our AI Research & Development group. In this role, you will be responsible for leading the team(s) of AI R&D engineers, translating business and functional requirements into concrete deliverables with consistent project structure and design, dataset and ML/NN architecture, testing, and deployment of high quality state-of-art AI solutions into diversity of IHS Markit products, with respect to innovations, scientific research and experimentation.

The Kinds Of Problems You’ll Work On Include
Leading team(s) of AI R&D engineers
Launching and driving ML projects, taking care of everything: from resources and datasets to quality, usability and APIs
Following latest state-of-the-art achievements in the field and spread new practices in the team
Making prototypes to prove ideas, including implementation of state of art neural architectures, training high quality domain-specific models on latest GPU hardware, visualization or developing light front-ends for new app prototypes
Hunting for quality datasets and AI professionals
Our projects

We are building next generation knowledge discovery platform empowered with high quality intelligent functions built on top of world class natural language processing engine for 6 languages.
Enterprise and industry-wide knowledge management,
Semantic search,
Natural language query understanding,
Question answering and semantic facets,
Cross-lingual information retrieval,
Automatic summarization,
Machine translation,
Document logical layout understanding,
Metadata synthesis,
Subject domain categorization,
Named entity recognition,
Key phrase extraction,
Similarity detection,
Dynamic data linking,
Data capturing,
and much more.

Methods we are using
development of own AI/ML architectures,
training on powerful private GPU cloud,
application of state-of-art models,
domain-specific language representation,
word-, sentence- and document embedding,
feature engineering,
learning to rank,
dataset development from any sources: raw data bootstrapping, click-data analysis, controlled expert annotations.

Our Values And Motivations
IHS Markit builds own unique AI-driven products that work out-of-the-box and loved by world top companies,
IHS Markit is a leader in information world and provides huge repositories and streams of trustful data for Data Science,
Great colleagues and open atmosphere at workplace,
Knowledge and discoveries sharing inside and outside the team,
Participation in international workshops and conferences,
‘Science Friday’ program for self-development,
Continuous education with invited tutors and paid online programs
Seniority Level
Director

Industry
Information Technology & Services Computer Software Research
Employment Type
Full-time

Job Functions
Education Training

Company:

IHS Global Inc.

Qualifications:

Required Qualifications
Degree in Computer Science or related field
Strong practical experience of creating NN/ML solutions using Python with TensorFlow framework
Strong object-oriented programming skills
English language (B1+)
6+ years of experience in building AI/NLP systems
2+ years of experience in leading AI/NLP teams

Preferences for candidates
PhD Degree
Experience in building NLP applications
Experience in Data Science for NLP/Language Modelling
Production programming in C++
Experience with Linux-based OS

Educational level:

Diploma

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying

https://jobs.tut.by/vacancy/29283636?utm_campaign=BY&utm_medium=meta&utm_source=jooble.org

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