Infopulse is one of the leading IT outsourcing companies in Ukraine. Founded in 1991, the company has a team of more than 2,000 professionals in Ukraine, Poland, Bulgaria, Germany, USA, Brazil. Infopulse is a Global Outsourcing 100® company recognized by IAOP® and is trusted by many established brands.
18 лютого 2022

Machine Learning Engineer / Data Scientist (ID:10947) (вакансія неактивна)

Київ, Харків, Львів, Одеса, Вінниця, Житомир, віддалено

Infopulse welcomes talented Machine Learning Engineer/Data Scientist to collaborate with one of Big Four Consulting company.

Integrating closely with our clients, we guide them through their digital transformation. As a Machine Learning Engineer/Data Scientist, you will be responsible for data analysis, helping our customers to digitalize their daily operations through building data-driven solutions. You will be expected to collaborate extensively with our customers and help them with all parts of creating valuable end-to-end solutions. This will include applying Machine Learning and Advanced Analytics and building awesome visualization solutions

Areas of Responsibility

  • Integrating closely with our customers to drive their digital transformation
  • Drive and manage data modelling and analysis using data connectors, SQL, Python and Rest APIs
  • Provide, implement, and configure tools & data infrastructure — for data analysts, data scientists, and business stakeholders to efficiently to deal with large amounts of data, discover unique insights, and present them in the best possible way

Qualifications

  • 2+ projects’ experience with machine learning or advanced analytics
  • Python, SQL
  • Experience with PySpark or SparkR
  • Scikit-learn or similar, PyTorch, Tensorflow, etc.
  • Pandas, Fluent notebook data analysis (visualization)
  • Are a customer-focused people person
  • Are naturally curious and always ready to learn
  • Have a good story about a time you created, small or large, digital impact

Will be an advantage

  • Participation in Kaggle competitions
  • Experience with Big Data tech stack (HDFS, Hive, Spark, Storm)
  • Familiarity with NoSQL datastores (HBASE, Elasticserach, Cassandra, etc.)
  • Able to build meaningful visualizations of results
  • Experience with building solution to serve model in Azure or AWS
  • Knowledge of technologies Microsoft Azure Data Factory, Databricks
  • Experience with data-mining methods and technologies