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Human-assisted machine learning platform for document processing, to break silos for enterprises

Machine Learning Engineer (NLP)

₹4L – ₹10L • 0.0% – 0.2%
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Role/Designation: Machine Learning Engineer (NLP)

Roles and responsibilities:
-Design and development of robust algorithms and techniques using Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches).
-Rapid development and validation of Cognitive solutions by using and/or enhancing existing methodologies, framework and architecture
-Performance evaluation and testing of algorithms and system's on the test and real data
-Support collaboration and annotation of data for algorithm development
-Collaboration with cross-functional and external teams
-Planning, processing and performing all jobs in an efficient manner with minimum supervision

Must have :
-Experience in the latest techniques in Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches) and statistical models
-A strong understanding of embeddings, TFIDF, LSTM
-Strong hands-on knowledge in python(OOP with python)
-Deep understanding of ML techniques such as classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques, ML techniques on unstructured data
-Experience with solving real-world problems

Good to have :
-Skills to architect new feature one day and produce optimized code the next
-Strong mix of education and practical experience
-Software engineering skills in developing or modifying large scale software systems where scalability, availability, performance, and security are important
-Experience with building a chatbot from scratch
-Familiarity with frameworks and platforms like Git, Bitbucket, Jenkins, web services and microservices, APIs

Education :
Any Technical Degree
Engineering/ BTech/ Mtech

Experience :
-1-3 years experience in Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches) and statistical models

Other flexibilities in Keito :
-ESOP after 2 yr completion in Keito

Keito at a glance

Human-assisted machine learning platform for document processing, to break silos for enterprises

Keito focuses on SaaS, Enterprise Software, Artificial Intelligence, and Communications Software. Their company has offices in Bengaluru and Pune. They have a small team that's between 11-50 employees.

You can view their website at http://www.keito.works or find them on Twitter, Facebook, and LinkedIn.

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