Roles and Responsibilities
Python Programming
Strong data structures and algorithmic skills.
Supervised & Un Supervised learning algorithms including Computer vision libraries.
Data Visualization libraries.
Good to have Skills:
Reinforcement Learning & Transformer models
Model deployments using Flask etc.
Excellent working knowledge in building tools/products using artificial intelligencetechnologies Machine learning/Deep learning and NLP Machine learning techniques for classification, regression, clustering, text analytics, deep learning using Python scikit, R.
Working knowledge on apply statistics, machine learning, analytical approaches, algorithms on large data sets-Ability to define problem, feature engineering, building
models and deploy them in production
knowledge on Conversational AI, Information Extraction is desired
Good background in statistical learning techniques
Strong ability to manipulate data using Pandas/Numpy and other python libraries, Shouldbe able to support all data munging and cleansing activities
Strong hands-on skills in relational databases. Ability to write SQL like queries
Good to have an understanding of docker containers and REST APIs using flask or similar frameworks
Technical Experience : Programming :Python, data mining , statistics , REST services-Relationship with functional leaders to understand business challenges and prioritizesolutions that will enable the success of these functions-Must have ability to defineproblem, feature engineering, building models and deploy them in production -Provenresearch background with patents, develop new algorithms for specific problem is a plus
Professional Attributes : Good Client Management skills Good Presentation skills
knowledge on Conversational AI, Information Extraction is desired