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1The associate would be responsible for creating machine learning models and data pattern analysisOne needs exceptional skills in statistics and programmingKnowledge of data science and software engineering is must.
2The associate should have hands on experience in ml areaThe associate should be help us too extract analytical patterns from our dataExperience in developing, deploying and maintaining ml algorithms to analyse large volumes of historical data to make predictions.
3One should be able lead all the processes from data collection, cleaning, and pre-processing, to training models and deploying them to production.
4Analysing the ml algorithms that could be used to solve a given problem and ranking them by their success probabilityValidating the data quality, and/or ensuring it via data cleaningDefining data augmentation pipelines, training models and tuning their parametersCapabilities with deployment strategies, containers and turning the model for cloud and scalable feature engineering.
5The associate should have hands on experience with python as the core programming language along with the sdlc lifecycle.
6The associate should be able to test the accuracy, efficiency and performance of the model using the various validation approaches available for mlThe person should have knowledge of ml frameworks, libraries, data structures, data models and software architecture.
7Proficiency with a deep learning framework such as python, tensorflow or kerasKnowledge on basics of math and probability, appreciation of data modelling, software architecture and data structures.net & azure cloud exposure will be added benefitCloud exposure will be an added advantage.
8Excellent analytical and problem-solving abilities with good communication and collaboration skills is mustShould be a team person who can co-work with fellow machine learning engineers, testers, product owners and business usersShould have hands on experience with ml ops with end to end development and build cycles.
Location – open
Notice period – immediate joiners only
Employee status : full time employee
Shift : day job
Travel : no
Job posting : feb 03 2022
About cognizant cognizant (nasdaq-100: ctsh) is one of the world`s leading professional services companies, transforming clients` business, operating and technology models for the digital eraOur unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businessesHeadquartered in the u.s., cognizant is ranked 185 on the fortune 500 and is consistently listed among the most admired companies in the worldLearn how cognizant helps clients lead with digital at www.cognizant.com or follow us @cognizant.
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