Scala and Spark Developer Rif: 30111701

Location: Milano, Italia
Date Posted: 30-11-2017
Scala and Spark Developer
The Challenge:
As part of a new team in MIT Lab business unit, you will be working on cutting edge functionl programing to drive customers to a new point of view of handling data.
You will help build the next generation of predictive models and optimization algorithms.
 For this role we require a person passionate about data who will: 
  • Build machine learning algorithms that power the classifiers and predictive models on large-scale datasets with high uptime and production level quality.
  • Managing large scale ETL on Hadoop clusters 
  • Work closely with data scientists to translate ML and optimization algorithms to distributed algorithms running on large scale data sets using Spark, Hive, Python, and other big data technologies. 
What we require:
  • Solid experience with ML algorithms and freamworks 
  • Proven ability to work well in a high performing team with agile development approaches and technology
  • Translate high level requirements to actionable tasks/deliverables and creative problem solving
  • Ability to work cross-functionally with various teams including: site reliability engineers, project managers, product managers, and other teams
What you need to succeed:
  • Must have good command (3+ years) of Python, Scala, Spark
  • Expert in machine learning techniques and freamworks (keras, Tensorflow, Torch ...)
  • Experience with tuning computer clusters
  • Experience with virtual environment as Virtual machines and Dockers
  • Distributed computing principles and experience in big data technologies including performance tuning
  • Expert in data structures, distributed dataset, algorithms, and multi-threading
Ideal Candidate Profile:
  • BS/MS in Computer Science or related technical field with 5+ years of experience
  • Experience with Scala production 
  • Experience with Machine Learning algorithms and freamworks 
  • Experience with Distributed applications (Scala, Spark)
  • Experience with big data techniques
  • Good communication skills

I candidati interessati a questa posizione lavorativa possono inviare il loro curriculum vitae, cliccando nell’apposita area dedicata sottostante e seguendo la procedura di registrazione guidata, oppure all’indirizzo   
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