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Architecting organisations to become more efficient using deep technology

Data Scientist Computer Vision / Image Processing / Machine Learning

₹10L – ₹12L • No equity
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Job Responsibilities

•Design and development of robust algorithms and techniques using text analytics, image analytics, computer vision and machine learning
•Rapid development and validation of cognitive solutions by using and/or enhancing existing methodologies, frameworks and architecture
•Development of criteria for testing algorithm and system’s cognitive performance objectively from end-user and market perspective
•Performance evaluation and testing of algorithms and systems on test and real data
•Analysis of current programs including performance, diagnosis and troubleshooting of problems
•Evaluation of algorithms and solutions to support technology transfer from collaborators to client’s development teams
•Support collection and annotation of data for algorithm development and evaluation
•Research and recommend algorithms, tools and solutions in alignment with our strategy
•Integration of cognitive systems and components
•Collaboration with cross-functional and external teams
•Planning, processing and performing all jobs in an efficient manner with minimum supervision
•Conduct product development in compliance with our methodology, practices and Quality Management system.

Ideal Candidates Will Be Expected To Have

•2-5 years’ experience in academia or otherwise with solving real-world problems
•2-5 years’ of experience in Machine Learning algorithms, including deep learning and statistical models
•2-5 years’ of experience in either Image Processing / Computer Vision or Natural Language Processing (NLP)
•Strong knowledge of either (a) Insurance , BPO , Telecom or related services domain, having applied computer vision and machine learning techniques on (a) document extraction , image processing on banking statements or (b) clinical information analytics , (c) Insurance document management having applied Computer Vision , NLP and machine learning techniques on unstructured data .
•Strong publication record in peer-reviewed conferences and journals
•Strong Programming skills (Java/J2EE, C++, Python) and experience with software systems architecture, web services, web applications, and current software development tools, technologies and frameworks such as Hadoop, Spark, MongoDB, Git, and Jenkins; Front-end / GUI experience with AngularJS, CSS, HTML and JavaScript
•Software engineering skills in developing or modifying large-scale software systems where scalability, availability, performance and security are important;
•Demonstrated communication and cross-functional collaboration skills;

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