Key Responsibilities
Connect with key technical and nontechnical stakeholders to understand and identify the product requirements
Design, develop and implement advanced data-driven approaches including NLP, machine learning algorithms, text mining, etc.
Work with very large data sets (both structured and unstructured) and improve the quality of data analysis.
Design, develop and implement R&D and pre-product prototype solutions
Productivize NLP/ML algorithms
Define path to implementation with IT teams
Stay abreast of the new developments in Artificial Intelligence (AI)/Machine Learning (ML).Contribute to the research strategy and technical culture of the team
Mentor others in the use of AI/ML




Extremely curious and relentless at figuring out solutions to problems
Relevant 10 + years of experience in NLP, Data Science, ML and AI techniques
Should have worked on NLP projects extensively
Experience in neural networks, regression, classification and clustering
Experience of handling various data types and structures: structured and unstructured data, validating and cleaning data, and measuring evaluation
Excellent understanding of machine learning techniques and algorithms, decision forests, etc.
Experience with relational databases and proficiency in using query languages such as SQL, Hive, Pig
Knowledge of Big Data platforms like Hadoop and its eco-system
High-level proficiency in statistical tools like R
Proficiency in programming languages like Java/C/C++/Python
Experience with Deep Learning tools is an advantage Mentoring others in the use of AI/ML

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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