Overview

We’re looking for a senior individual to manage an exceptional team of data science developers. Should have expertise in developing and managing machine learning, natural language processing, and text analytics systems in a production setting. Our core technology is a text analytics engine that uses a combination of machine learning, NLP, and semantic processing technologies, and we are always working on improving it.

The Problem

Our platform helps clients understand what’s being said about them online. This means that we ingest and analyze huge quantities of social media data. We’ve developed a custom data processing pipeline and a proprietary text-analytics engine, but to meet customer demands, we’re continually evolving these technologies. As we increase the amount of data processed and the sophistication of our analytics services, amazing challenges lie ahead.

The Technology Stack

We’re using a variety of machine learning techniques (e.g. Deep Learning Networks, ML Classifiers, LSA, LDA) along with “big data” processing technologies, (e.g. HBase/Hadoop, Solr/Lucene) in addition to our own in-house technology stacks.

Company:

Oracle

Qualifications:

Essential Skills, Knowledge, Abilities, and Background

· At least 2 years of experience managing a group of smart data scientists

· Advanced degree in Computer Science, Mathematics, Linguistics, or related field

· Experience with current ML technologies. Including:

o Learning classifier systems

o Deep learning systems

o Clustering techniques

o Supervised/semi-supervised/unsupervised learning approaches

o Feature development

o Model parameter tuning

o Active learning

· Experience applying ML technologies in a production environment

· 4+ Years in Software Development

· Proficiency in Java

· Expertise in machine learning, NLP, linguistics, and/or related fields.

· Familiarity with Linux tools and environment

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

How to apply:

Please mention NLP People as a source when applying

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About Oracle

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