Larsen & Toubro Infotech Ltd
"Expertise in Machine Learning models: o 3-5 years of experience o Expert in handling various data types and structures: structured, unstructured, voice, static versus streaming data. Extensive prior experience in integrating data o Possess extensive knowledge of and experience in applying data mining and machine learning, deep learning and Reinforcement learning techniques in a professional context o Should have extensive experience with relational, NO-SQL and Graph databases o Interpret, criticize, and debug neural networks (not just implement and evaluate accuracy) o Expertise with Bayesian probabilistic modeling, familiar with probabilistic programming (e.g. Stan)
o Experience with Generative neural networks such as VAEs o Proficiency in the entire Data Modeling life cycle From exploratory data analysis to data cleaning to Feature Engineering to Model Building and Validation. o Comfort with Tensorflow and PyTorch and associated tooling o Exposure to Natural Language Processing and associated tooling (Spacy, NLTK- Natural Language Toolkit) o Familiarity with foundational model reasoning: bias-variance tradeoff, shrinkage/partial pooling o Able to independently research and apply state-of-the-art deep learning and Bayesian modeling literature o Communicate design decisions, tradeoffs, and findings to technical and non-technical stakeholders Additional Skills for Model Building: o Expert in Python Programming preferably functional programming o Experience in Building models in AWS environment o Able to organize code using functional programming concepts, experience with statically typed functional programming a plus The Skills that are Good To Have for this role: o Partner closely with project managers to deconstruct business problems of the client, develop data models and algorithms that deliver meaningful insights o Experience in financial services o Excellent written and verbal communication skills and ability to work in a team o Outstanding analytical and problem-solving skills o Excellent client presentation Educational Qualification: o Master in Statistics/Economics/Mathematics or equivalent o Additional certification or any Diploma"
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