ML Engineering Senior | NTT DATA

JOB ROLE

ML Engineering Senior

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NTT DATA aiuta le organizzazioni a orientarsi nella rapida evoluzione delle tecnologie, a rispondere alle crescenti aspettative dei clienti e, attraverso l'innovazione e la profonda esperienza nel settore, mette a disposizione le competenze e le risorse per guidare lo sviluppo digitale. Siamo una realtà in cui creatività, competenza,  tecnologia e  collaborazione si amalgamano perfettamente e si lavora con il sorriso, perché investiamo per il benessere delle persone . Per noi “smile working” significa creare un contesto lavorativo accogliente, in cui si investe sulla preparazione delle persone, dove viene premiato il lavoro di squadra. Dove esprimere nuove idee è sempre una buona idea.    
Guidati da questi valori offriamo consulenza alle aziende in ogni fase di progetto, da una prima fase di strategia e concept, passando dagli impatti sui processi, per arrivare all’implementazione finale. NTT DATA ha sede a Tokyo con oltre 123.000 professionisti in oltre 50 Paesi in tutto il mondo. www.nttdata.com/it

Responsibilities

 

The ideal candidate as Senior Machine Learning Engineer in NTT DATA will have a solid mathematical background, experience working on a range of classification, informational retrieval, clustering, and optimization problems, establishing scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation.


The Senior Machine Learning Engineer will work alongside experienced Data Scientists, Data and ML Engineers to identify business opportunities, design and create new data pipelines from scratch, from experiments to deploying them in production. 


He/She will be responsible for multiple projects, leading the ML Engineers and connecting with the stakeholders on client’s side, to ensure that tasks are on time and well executed
 


 

Required Skills

 

  •  at least 5 years of production experience working in Data Science or Software Engineering;
  •  Deep knowledge of math, probability, statistics and algorithms;
  • Understanding of data structures, data modeling and software architecture;
  • Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);
  • Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers;
  • Strong knowledge of Spark;
  • Experience developing/deploying ML solutions in one of the public cloud platforms;
  • Deep knowledge with machine learning frameworks (such as Keras or PyTorch);
  • Ability to design and implement machine learning pipelines in a production environment
  • Experience with deployment including knowledge of CI/CD, containerization, and related concepts 
  • Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts 
  • Establish and maintain strong relationships with internal team members and external clients
     

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Location: Milano, Roma

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