Job Description

- Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research)
r - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies
r - Solid foundation in data structures, algorithms, and programming language theory
r - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance
r - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems
r - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time)
r - Experience using Cloud-based ML platforms (e.g., AWS, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams
r - Excellent written and verbal communication skills for both technical and non-technical audiences
r - Experience of applying ML in the retail domain- for inventory optimization, demand forecasting, assortment planning, and other such problems
r - (Nice to have) Research experience and publications in top ML/Data science conferencesr r Call us on 76699-43030 & our team will get in touch with you.r r If the above job does not suit your profile, you can still apply as we have various vacancies across different cities & job areas.r r For details of other jobs, you can also email us, else check our websiter r Give a miss call on 76699-43030 & our team will get back to you within 3-4 business days.r r Thanksr r Hiring Team
r Canvas25 comr r Call : 76699-43030r r
Education: Any Graduate
Industry: IT-Software, Software Services

Skills Required