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
2 - 3 Years
1 Openings
4.0-5.0 Lac/Yr
Bangalore 
Face-to-Face interview
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