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Machine Learning Engineer

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Date: Oct 8, 2021

Location: Irvin, TX, US

Company: NTT DATA Services

Req ID: 145314 

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Machine Learning Engineer to join our team in Irvin, Texas (US-TX), United States (US).


Role Responsibilities:

-Utilize predictive analytics and statistical tools, machine learning algorithms and big data tools
-Identify, analyze and interpret trends or patterns in complex data sets using various regression, classification or clustering ML approaches
-Good familiarity with classic ML approaches
-Create visualizations to visually represent data for consumption by different audiences


Basic Qualifications:

-5+ years SQL, R or Python, Spark, Hive
-5+ years Frameworks/libs:  SciKit-learn, NLTK, Gensim, Pandas, NumPy, Matplotlib, SciKit


Preferences/nice to have:

-NLP exposure

-Hadoop, Spark, Elastic Stack, Git
-Frameworks/libs: TensorFlow, Keras, Spacy
-HTTP and invoking web-APIs         
-Working in SCRUM methodology
-Business Domain knowledge: Finance & banking systems, Fraud, Payments    
-Niches: Cognitive Computing, Natural Language Understanding



-Bachelor’s degree in a technical discipline (preferably computer science) or equivalent experience




About NTT DATA Services

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

NTT DATA Services is an equal opportunity employer and will consider all qualified applicants for employment without regard to race, gender, disability, age, veteran-status, sexual orientation, gender identity, or any other class protected by law. To learn more, please visit Furthermore, NTT DATA Services will make accommodations for eligible applicants on a case-by-case basis. Please email for assistance.

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