We are a high energy, fast moving team of IT experts who are changing the way businesses approach quality & testing, security and mobile application development. We are always looking for great talent. Apply by emailing your resume and contact information to [email protected] with the title of the position in the subject line.

Machine Learning Engineer (Bangalore, Kiev)

Job Location: Bangalore, Kiev

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Who we are looking for…

A talented Engineer with passion for building cutting edge Machine Learning systems end-to-end. You will work on a small, versatile and passionate team, tackling new problems as we continue to push our technology forward.

Your responsibilities will include…

Primary responsibilities for this position include, but are not limited to:

  • Research, experiment and build prototypes using machine learning algorithms for hidden relationships and trends from large data.
  • Conduct exploratory data analysis to solve business problems rather than focusing on metrics alone
  • Design and implement big data modeling work: Hadoop, Hive, Impala, Pig, Scala, Scalding, Spark
  • Work in a dynamic team environment with short turnaround times
  • Contribute ideas to improve our service, software, and development process

You bring to the table…

  • 5-10+ years of experience with data structures, Machine Learning algorithms, software design and architecture
  • Expertise in one or more machine learning areas such as classification, control theory, clustering, SVM, optimization
  • Proven experience with Java or similar object oriented programming languages
  • Strong scripting experience with languages such as Python, Ruby, Perl
  • Machine learning / Data Analytics with R
  • Experience in Distributed Computing / MapReduce, key value stores like HBase, MongoDB
  • Ability to write high performance and production quality code

Additional knowledge/skills/abilities we think are great to have…

  • Strong command of the English language - both verbal and written
  • BS, MS, or PhD in CS/Mathematics/Stats or a related discipline