The ideal candidate will have experience in the latest techniques in Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches). Experiences in real-time collaboration is a plus.
– We’re looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and produce optimized code the next. The ideal candidate has a strong mix of education and practical experience
Responsibilities :
– Deliver a commercially deployable platform that provides an intuitive collaboration solution targeted at enterprise customers
– Use NLP and ML techniques to bring order to unstructured data
– Experience in extracting a signal from noise in large unstructured datasets a plus
– Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise-scale machine learning systems
– Work alongside an excellent, cross-functional team across Engineering, Product and Design
Required Skills :
– Experience in applying machine learning techniques, Natural Language Processing or Computer Vision
– Strong analytical and problem-solving skills
– Problem solver : able to work independently, and be comfortable with deadlines and milestones
– Deep understanding of ML techniques such as classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
– Strong communication skills and an easy-going attitude
– Proven ability to apply, debug, and develop machine learning models for real-world applications
– Previous industry work experience required
Preferred Skills :
– Familiarity with Git, MongoDB, RabbitMQ, Spark, NLTK, TensorFlow
– Functional Programming
– Experience with Natural Language Processing (NLP)
– Experience building applications for the enterprise customer
– Previous early-stage company experience is a plus
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