ML Engineer – NLP

Job not on LinkedIn

🕒 March 31

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Entefy

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $5M Funding Round on 2021-08

Artificial Intelligence • SaaS • Enterprise

Entefy is an advanced AI and automation company specializing in multisensory AI technology designed to empower intelligent enterprises. With its comprehensive platform and innovative products such as the Mimi AI Engine, Entefy provides solutions in various fields including digital supply chain management, credit and risk decisioning, and crypto market intelligence. Entefy's technology is aimed at solving high-value business problems through AI-driven analytics and automation, enhancing productivity and efficiency in diverse industries. It boasts a vast intellectual property portfolio and significant investment in R&D to advance its core technologies, which cater to a wide range of global enterprises.

📋 Description

• Use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products • Engage your deep understanding of algorithms to build never-before-seen machine intelligence

🎯 Requirements

• Solid fundamentals in mathematics, statistics, and machine learning theory • Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation • Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc. • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc. • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. • English fluency • Excellent written and verbal communication skills • Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc. • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics • Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc. • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc. • Fluency in multiple languages is a plus • Demonstrable proficiency in more than one applicable programming languages is a plus