Machine Learning Engineer
• Hands on experience in 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
Business Domain knowledge: Finance & banking systems, Fraud, Payments
Niches: Cognitive Computing, Natural Language Understanding
Total Experience Required
• 2 < years <5 of relevant experience
• NLP exposure beneficial
• Deep Learning proficiency a plus
Required Technical Skills
• SQL, R or Python, , Spark, Hive
• Frameworks/libs: SciKit-learn, NLTK, Gensim, Pandas, NumPy, Matplotlib, SciKit
Desirable Technical Skills
• Hadoop, Spark, Elastic Stack, Git
• Frameworks/libs: TensorFlow, Keras, Spacy
• Familiarity with HTTP and invoking web-APIs
Personal Skills
• Experienced in managing work with distributed teams
• Experience working in SCRUM methodology
• Proven sense of high accountability and self-drive to take on and see through big challenges
• Confident, takes ownership, willingness to get the job done
• Excellent verbal communications and cross group collaboration skills
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- Address Irving, Texas