Consulting with stakeholders to determine and refine NLP based machine learning objectives and outcomes.
Designing machine learning systems and self-running artificial intelligence (AI) applications to automate predictive models for content.
Transforming data science prototypes and applying appropriate NLP based ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information.
Solving complex problems with NLP, as well as optimizing related machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of content to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in NLP based machine learning.
PhD [Doctor of Philosophy] in computer science, computational linguistics, data analytics data science, mathematics, or a related field.
Advance Certifications in NLP and other related ML/AI Technologies
In-depth Knowledge on semantic Analytics
In-Depth Knowledge on AI Text Analytics
At least five years' experience as a NLP based ML/AI scientist.
Awareness of Software required for NLP and other related ML/AI Techniques
Contributions to Industries such as Blogs, Whitepapers, PhD Papers, Journals & Presentations in Conferences.
Extensive knowledge of ML & AI frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Excellent time management and organizational abilities.