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