Machine Learning and Artificial Intelligence

Insider

Are you ready to make a better world with data science?

Are you getting really excited with the idea of taking Web to the next level with web personalization?

Are you passionate about developing predictive models on the top of billions of online user behaviors?

Do you think that you can find the balance of research and development in a fast growing startup?

Are you enthusiastic about artificial intelligence and eager to learn every single innovation in this subject?

If you answered yes, then the INSIDER is looking for you!
 

Our Engineering Culture:

• Our team believes collaboration and fast iteration.
• We work in small agile groups to solve sophisticated and high impact problems.
• We work closely with other engineer teams and don’t afraid to get our hands dirty with other areas if needed.
• We don’t wait for jobs, we create them. Because in a startup, nothing happens by itself. Not unless we make it.

 Senior:

• Proficiency Java, Python or Scala
• 3+ years working as an engineer in a data focused team building machine learning algorithms and predictive models at large scale.
• Experience with big data architectures such as Lambda Architecture.
• Experience working with big data technologies (like Hadoop, Java Map/Reduce, Hive, Spark SQL)
• Experience in Machine Learning frameworks such as Scikit-learn, H2O, Spark MLLib, Prediction.IO
• Self-motivated; independent, organized and proactive; highly responsive, flexible, and adaptable when working across multiple teams.
• Strong SQL skills.
• Experience with recommendation systems is preferred.
• Experience with AWS is favorable.
• PhD is a plus
• Experience in NoSQL databases (HBase, casandra or elasticsearch)

Junior:

• Studied Computer Science.
• 2+ years of software development experience.
• Skills in Java, Python or Scala.
• Passionate about learning machine learning and data mining.
•  Strong skills in SQL is very important.
• You possess an intense curiosity about data and a strong commitment to practical problem solving.
•  Creative in thinking data centric products which will be used in online customer behaviors and marketing.
• Intermediate knowledge on machine learning with notions such as Supervised Learning, Unsupervised learning.
• If the words like regression, classification and clustering mean something to you. Really.
• Experience on developing predictive models with frameworks or with custom algorithms.
• Googled about these subjects at least 200 times.
• Enjoy from finding and reading papers on these subjects
• Experience in NoSQL databases (hbase, casandra or elasticsearch)