Software Engineer -AI (Job Code : J44901)  

 Job Summary
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Experience:
3.00 - 6.00  Years 
 
Location:
Bangalore
 
Designation:
Software Engineer -AI
 
Degree:
BE-Comp/IT, BE-Other, BTech-Comp/IT, BTech-Other
 
Educational Level:
Graduate/Bachelors
 
Stream of Study:
 
Industrial Type:
IT-Software/Software Services
 
Functional Area:
IT Software - E-Commerce / Internet Technologies
 
Key Skills:
AI, Python, Data Science, Coding
 
Job Post Date:
2021-12-24 13:06:14  
 
 

 Company Description
 
The company develops AI-Powered product discovery solution for shoppers on eCommerce websites. They help are shoppers discover the products they are looking for with their relevant site search solution, powerful merchandising tool, intelligent product recommendations built on the top of AI-enabled tech stack pivots how eCommerce stores empowered customers to make relevant product choices easily.
They help eCommerce brands, regardless of their size, optimize user interactions with their website, enhance conversions, and subsequently increase their sales volume. They power 10+ billion user interactions a month for eCommerce websites across verticals throughout 40+ countries.
 

 Job Description
 
Role & Responsibilities:
? Overall experience of 3-6 years in building applications at scale.
? Proficiency in, at least, one modern programming language such as Java, Golang.
? Proficiency in, at least, one data/ml programming language such as Python/Java/Scala.
? Hands on experience in Design, Architecture, Implementation, Performance & Scalability and Distributed Systems.
? Experience in big data technologies (spark/Apex/Storm)
? You have strong problem solving and analytical skills.
? You have an understanding of the full software development lifecycle.

Good To Have
? Experience in building high throughput big data pipelines
? Exposure to any of Machine Learning, Information Retrieval, Natural Language Processing, Deep Learning, Recommender Systems or related fields
? Experience in ML toolkits like kubeflow/ AI workflows is a plus.
? Understanding of search relevancy & ranking metrics