NLP Developer

Designation:NLP Engineer

Description:Looking for a motivated person with a background in NLP focused compute science /engineering, or related fields. Strong programming skills preferred; must have curiosity andcreativity to tackle new and challenging problems. Ability to comprehend academic/scientificliterature and implement algorithms described in research papers in software is a plus.

You Will Take On The Following Primary Responsibilities Help set the overall direction of our NLP efforts. Identify and develop cutting-edge NLP techniques to match our data and problems. Implement and maintain NLP services, data pipelines, and other products.

You Will Have the Following Specific Job Responsibilities: Parse, validate and scrub data of widely differing formats. Build state of the art Deep Learning models using voice and text inputs. Build AI modelsto guide conversations leading to stronger human connections between users. Advise on most appropriate NLP tools for given use cases. Build and maintain toolkits or infrastructure to accelerate NLP/ML innovation. Follow cutting-edge research in the field of natural language processing and machinelearning. Perform other tasks that are assigned by the Management team.

You Meet the Following Requirements: At least master’s degree in computer science with a focus on Natural LanguageProcessing or Machine Learning, preferably. At least 1 years of with RASA and BERT At least 1 years of with hardware such as Raspberry Pi and/or NVidia At least 2 years of applied NLP/ ML experience, or 2+ years of experience in prototyping,evaluating, and deploying production machine learning and NLP systems. Experienced at cleaning and handling real world data, including textual andconversational speech data. At least 3 years of Python programing experiences. Familiar AWS or other Cloud basecomputing platform. Stays updated with latest technologies like PerlAI, GPT-2, GPT-3, Amazon AI Toolkit,Albert, Roberta, Sentence BERT, Siamese Networks, Speech2Vec etc. Familiar with voice recognition APIs (STT and TTS) and Chatbot. Exposure to developing voice/chat assistants, dialogue systems or similarconversational AI products. Background and experience with both classical (e.g. tokenizing, chunking grammars,dependency trees) and model-based NLP techniques (e.g. RNNs, CRFs, LanguageModeling, Transfer Learning, Knowledge Distillation). Familiarity with algorithms and associated advanced analytic topics, including LogisticRegression, Neural Network frameworks and Natural Language Processing. Demonstrated proficiency with hardware integration, particularly with devices such asRaspberry Pi and/or Nvidia, is highly desirable.

Nice To Have: MS/PhD with a focus in Natural Language Processing and chatbot Experience in acquiring new data and building new knowledge layers in the NLP model. Experience of going through full product life cycles, integrating customer feedback intoproduct requirements, driving prioritization of new machine learning or infrastructure-related features. Previous experience in a startup environment and an appetite for rapid prototyping andbuilding consumer products. Have experience with text to speech. Is familiar with mathematical modelling using Python or similar. Has a creative and imaginative mind. Is capable of working with a multi-disciplinary engineering and commercial team. Is articulate and capable of presenting ideas to a wide range of audiences.Job Types: Contract or Temporary (2-3 months') Available to start immediately

Schedule: Monday to Friday (2 continuous days at least if part time)Education: Master's (Preferred)Experience: SQL: 1 year (Preferred) Natural language processing: 2 years (Preferred) Python: 3 years (Required) RASA: 1 year Hardware such as Raspberry Pi and/or Nvidia

Key Skills

• CSS
• SQL