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IHS Markit Senior Machine Learning Engineer in Minsk, Belarus

About Us

IHS Markit is a global information company that provides expertise, data and solutions to 50,000+ customers helping them in making more informed decisions. Our research and development center in Minsk focuses on creation of three intellectual platforms of IHS Markit related to engineering and manufacturing domains. This includes scalable cognitive engines that help users – engineers, innovators and researchers – to discover and leverage knowledge locked in corporate repositories as well as in industry sources.

The team that develops and maintains a complex greenfield Deep search/Deep learning/Knowledge g raph/Big d ata solution looks for a Senior Machine Learning Engineer.

About the Project

Digital Transformation happens right now in enterprises all over the world. The UltraViolet project being developed by the IHS Markit company helps the customers to overcome challenges it entails and completely exploit new capabilities it unlocks. We create new solutions, like intelligent personal assistants for enterprise engineers. These are SaaS solutions that link together disparate data and knowledge sources; analyze structured and unstructured data; link the data and extract knowledge; solve specific data-driven tasks for our customers. Our tools and expertise are Natural Language Processing, Knowledge Graph, Information Retrieval, Deep Learning and Big Data. This is a complex greenfield project that follows modern development/operation approaches and summarizes many years of our experience in this field. It greatly impacts how our customers will operate tomorrow.

​ Your Role

Your duties and responsibilities will include:

  • Building efficient architecture and design of Deep l earning solutions for IHS Markit products with the focus on innovation, scientific research, experimentation, and optimal design.

  • Design and building Machine l earning models for ranking tasks.

  • Design and implementation of Information r etrieval/Ranking /Highlighting services as a part of our S earch system

  • Build ing and optimiz ing ML/DL training, testing and inference pipelines for latest GPU hardware and environments.

  • Assessment of Information r etrieval systems quality.

  • Implement ation of algorithms and processes for I nformation r etrieval tasks .

  • Implement ation of r ank ing algorithms for production environment based on F eature s tore .

  • Implement ation of feature generation for r ank ing algorithms in production environment

  • F ine-tuning Machine l earning models based on user behavior in production environment.

  • Implementation of the r ecommendation system based on th e user behavior.

    About You

    Your required qualifications and experience include:

  • You are knowledgeable about production-grade M achine l earning inference.

  • You are knowledgeable about M achine learning algorithms and methods for I nformation retrieval, relevancy, and recommendation tasks.

  • 4 years or more as a Machine Learning Engineer in I nformation retrieval projects

  • Strong experience in Python programming language

  • Strong experience in S klearn , XGBoost , CatBoost , Pytorch or Tensorflow , Spacy

  • Strong experience in NLP preprocessing and NLP technique of M achine learning

  • Proven experience in development of production-ready Information retrieval system s

  • English language (Intermediate and higher)

    The following will increase our interest:

  • Solid understanding and experience with Deep learning for NLP

  • E xperience in Scala, Java, C++, an d other strong typed programming languages

    What we offer

  • Fully remote position

  • Open and Collaborative Environment

  • Own product development based on science and technology

  • Personal growth and career development supported on corporate level

  • Support of self-study and research

  • Training on powerful private GPU cloud

  • Research and application of state-of-art models

  • Development of own unique ML -driven products that work out-of-the-box and loved by world top companies.

  • Great colleagues and open atmosphere at workplace

  • Knowledge and discoveries sharing inside and outside the team

  • Collaboration with a great team of ML professionals

  • Participation in international workshops and conferences

  • Continuous education with invited tutors and paid online programs

    Employee benefits:

  • English language classes

  • Employee stock options plans

  • Vacation time increase with tenure

  • Extended medical insurance for employees and their families

  • Personal accident coverage

  • Employee assistance program

  • Reimbursement of sports activities

  • Corporate and social events

Inclusion and diversity are critical to the success of IHS Markit, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category. For more information on the many ways in which we enthusiastically support inclusion and diversity efforts for both candidates and employees, please access our Inclusion & Diversity Statement here.

We are proud to provide reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or an accommodation to use our website or to apply for a position, please contact (Accessibility@ihsmarkit.com) or call +1 212 849 0399. Determination on requests for reasonable accommodation are considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only. We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process, and only qualified candidates will receive consideration and follow-up.

IHS Markit maintains a substance-free workplace; employees may be asked to submit to a drug test (where permitted by law). In addition, as a federal contractor in the United States, the company participates in the E-Verify Program to confirm eligibility to work.

For information please click on the following links:

IHS Markit Business Code of Conduct (https://investor.ihsmarkit.com/static-files/86e1cd0a-429d-4398-9f95-c54d4c2fa1e0) Right to Work EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) EEO is the Law Supplement Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf)

Current Colleagues

If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.

IHS Markit harnesses deep sources of information, analytics and expertise to forge solutions for the industries and markets that drive global economies. Our company partners with clients in business, finance and government to provide the unrivaled insights and perspectives that lead to well-informed, confident decisions. We call this The New Intelligence. IHS Markit serves more than 50,000 key customers in more than 140 countries, including 80 percent of the Fortune Global 500. We help decision makers apply higher-level thinking to daily tasks and strategic issues across a host of industries and disciplines including energy, finance, automotive, engineering, technology, maritime and trade, aerospace and defense, chemical, and economics and country risk.

Headquartered in London, IHS Markit (NYSE: INFO) is committed to sustainable, profitable growth.