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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Management Consulting / Strategy |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Key Responsibilities1) Data Science :a. Build ML/AI models leveraging a strong understanding of Machine Learning principles including standard algorithms for Regression and Classification, Deep Learning constructs (RNN, CNN, RBMs, Auto Encoders, GANs) and AI systems such as Voice to Text, NLP/NLU and Recommender systemsb. Build recommender systems around agent Collections prioritization, product recommendations, and personalization enginesc. Build sophisticated pricing engines based on AI powered product evaluation toolsd. Build cross-sell/up-sell recommender systems using deep learning frameworks, and with sparse data2) Cloud & Big Data:a. Work on Cloud Infrastructure (Azure, AWS) to provision data to ML models, build ML systems on deploy them at scaleb. Build ML systems using Spark libraries such as ML Lib, Spark SQL and be able to deploy them on clusters/machines, both on Cloud and on-Prem3) Build Production level Models @ scalea. Design and implement the machine learning lifecycle at scale, from building the data infrastructure to train/test Machine learning models to their production environments.b. Management of production ML workflows ensuring automated CI/CD capabilities are built into the work flowJob Requirements1) Ability Work closely with Data Analysts, Data Scientists and Business Analysts2) Comfortable to work in cross-functional team and collaborate with peers during the project lifecycleQualificationsBE/B.Tech/BS/MS/PhD in Computer Science or a related field from a Premier institute (Tier 1 IITs, BITS and Top NITs, Ivy League US Schools)Experience1) 8+ years of work experience as a Data Scientist with at least 4-5 year designing and implementing ML platforms for enterprise-grade ML use cases2) Start-up experience is a plus,
Keyskills :
machine learningpythondata analysissqlanalyticsdata sciencedeep learningcomputer scienceposition managementrecommender systemssparkcloud