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 Minsk AI team is looking for new talents for the role of Senior Data Engineer critical for success of Data Science and Machine Learning/Deep Learning projects related to Natural Language Processing, Data Capturing, Content Understanding and Information Retrieval domains.
You will be responsible for design and engineering aspects of innovative projects related to automatic structuring and understanding of unstructured content. Your role is needed to envision and build robust data extraction, processing and transformation pipelines, efficiently apply intelligent models, as well as to curate all questions related to data life cycle.
Your duties will include:
Owning the vision and development of data engineering aspects of the projects with Deep Learning, Natural Language Processing, Data Capturing and/or Information Retrieval
Working in the team with data scientists, ML engineers and developers on building the intelligent capabilities into company products
Responsibility for research in the ETL and data processing technologies, as well as tools around deployment of ML-based components to production pipeline
Hunting for data to empower data-driven development: finding and scraping data sources for experimental setups, transforming, cleaning and curating the datasets
Designing and implementing data processing pipelines (designing ETL system for ML/DL projects, designing online leaning loops, embedding active learning algorithms into data annotation toolset, etc.)
Organizing data warehousing, storage and versioning (make sure ML experiments are repeatable and keep track from data state)
You are a talented engineer who is addicted to complex and fuzzy challenges. Your required qualifications and experience include:
Strong coding and software engineering skills
Ability to make good design decisions related to data
Python programming experience 4+ years
Experience with textual data engineering (encoding, formats, tools)
Developed skills in algorithms and data structures
Experience with data processing automation, schedulers and pipeline tools (Airflow, NiFi, Beam, make, etc.)
Advanced Linux experience (Bash, CL tools)
English language (B1+)
The following will increase our interest:
Experience with programming in C++
Skills and knowledge in math and statistics
Experience with SQL, NoSQL and Graph databases
Experience with big data tools (Hadoop, Hive or Spark, etc.)
Experience with search systems (Elasticsearch, Lucene, Solr)
MS or PhD degree related to computer science, data science or statistics
Publications in related domain
Experience on projects with deep learning, natural language processing or information retrieval
Experience in Machine Learning
What we offer :
28 days of annual leave
Health insurance for you and family members
Business travel insurance
Employee stock program
Paid medical leave
6 days-off in a year
Sport activities reimbursement
IHS Markit is committed to providing equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by the laws and regulations in any of our locations.
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 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:
If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.