Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Hyderabad Jobs |
Banglore Jobs |
Chennai Jobs |
Delhi Jobs |
Ahmedabad Jobs |
Mumbai Jobs |
Pune Jobs |
Vijayawada Jobs |
Gurgaon Jobs |
Noida Jobs |
Oil & Gas Jobs |
Banking Jobs |
Construction Jobs |
Top Management Jobs |
IT - Software Jobs |
Medical Healthcare Jobs |
Purchase / Logistics Jobs |
Sales |
Ajax Jobs |
Designing Jobs |
ASP .NET Jobs |
Java Jobs |
MySQL Jobs |
Sap hr Jobs |
Software Testing Jobs |
Html Jobs |
Job Location | Pune |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Education / Training |
Functional Area | General / Other Software,Statistics / Analytics |
EmploymentType | Full-time |
In this role, you will contribute towards solution development using Machine Learning and Natural Language Understanding (NLU) models for a range of data analytics problems.Your responsibilities will include:Diving deep into data, doing analysis, and discovering patterns/root causes. Generate insights that drive the product.Analyze and evaluate the quality of data used for model training and testingCollaborate with scientists and engineers on data collection and feature design efforts. Lead development and delivery of machine learning models and analytics solutionsBASIC QUALIFICATIONSMSc in Statistics, Engineering in Computer Science, or related quantitative fieldMinimum2 years of relevant experience in NLP SolutionsExperience with analyzing and quantifying data collected through crowd sourcing protocolsKnowledge of descriptive statistics and visualization tools Expertise in developing Natural Language Processing (NLP) solutions Expert level knowledge of Python programming language, data engineering and data Science ecosystem in Python. Good knowledge of Python based frameworks like fastapi, Django, streamlit, flask, dash etc.. Experience of working on Linux and shell scripting. Hands on experience on SQL ecosystem. Knowledge of Big data and Pyspark ( Good to have )Good Knowledge of statistical modelling / machine learning techniques / Deep LearningExperience with data selection methods: identify how to choose which data for which experimental set upsGood communication and organizational skills with significant attention to detail,
Keyskills :
machine learningpythondata analysissqlanalyticsnatural language processingnatural language understandingbig datadata sciencedata analytics