COMPUTATIONAL LINGUISTIC adt_admin
Tell us about yourself. We look forward to getting to know you.
Employment Type: Full time
Experience: 4+ years
Manage development of some part(s) of the NAVIK AI platforms &/or the product suite
Design and develop new Machine Learning, Analytical or AI algorithms to support new feature development in the NAVIK AI platform &/or the product suite
Manage/lead client implementations of NAVIK products
Lead the NLP bit of NAVIK implementations with clients on ground
Consult with senior clients to define business problems and shape solutions
Support on Sales/Marketing for NAVIK products
Participate, as the technical expert, in sales calls/meetings
Devise creative solutions to business problems
Develop proposals as Subject Matter Expert or Solutions Architect
Be a part of the NAVIK leadership group and contribute to the longer-term NAVIK product roadmap/vision
Contribute to the long term roadmap of NAVIK as well as the short-term prioritization for the larger team
Internal capability socialization (knowledge sharing) to build a team in the subject matter
Lead a team to execute the part of this roadmap allocated to the candidate.
Qualifications and Skills:
5-7 years of relevant experience in executing and managing assignments on NLP
First-hand experience with NLP techniques/methods/algorithms including:
Semantic technology (OWL, RDF)
Heuristic search algorithms
AI agent development
Intermediate-level understanding of Machine Learning techniques
Decision Support Systems or human-computer interaction design
Grammatical Error Correction etc.
Strong skills in software prototyping and engineering, with expertise in applicable programming, analytics languages and frameworks (Python, TensorFlow etc.) and various open-source Machine Learning and analytics packages to generate generic modules and prototype demonstrations
Technical skills – Desirable
Expertise in NLP (Natural Language Processing)
Exposure to Big Data technologies – Hadoop, Hive, Spark etc.
Exposure to advanced reporting tools - Tableau, Qlikview, PowerBI, etc.
Usage and customizations of existing AI and machine learning offerings such as IBM Watson, Google ML, Azure ML, AWS ML etc.