Position: Machine Learning Engineer / Data Scientist
Company: Infopulse
Experience required: 3y
English level: intermediate

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
 - 3+ years of 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