Almost all the big industries have already adopted machine learning to benefit from it. The tremendous rise in data in these times have created an urgent need to talk to them. An experienced Machine Learning Engineer (10-19 years) earns an average of $149,989 based on 80 salaries.A mid-career Machine Learning Engineer (5-9 years )earns an average of $136,991 based on 238 salaries.An early career Machine Learning Engineer (1-4 years) earns an average $111,544 based on 1,069 salaries.An entry-level Machine Learning Engineer (An experienced Machine Learning Engineer (10-19 years) earns an average ₹1,999,859 based on 31 salaries.Īccording to, The average salary for an AI and Machine Learning Engineer in US is $112,837.A mid-career Machine Learning Engineer (5-9 years) earns an average of ₹1,422,818 based on 97 salaries.An early career Machine Learning Engineer (1-4 years) earns an average of ₹690,687 based on 443 salaries.
So for this, we have multiple in-class demos, question banks, in-class practice questions, and multiple tests and projects so that you can test your learned/practiced skills.Įnrolling with Edureka's PGP AI ML courses will expose you to industrial projects for AI certification from NIT Warangal.
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Learning to code is all about practice with the right guidance and support. These AI ML certification courses are focused on helping the learners understand and practice the python basics and move towards the intermediate level by training and building machine learning models and gradually advancing to Deep Learning, Natural Language Processing, and Sequence Learning courses. These AI and Machine Learning PG Diploma courses at Edureka with NIT Warangal have been designed to cater to multiple domains audiences by exposing problems statements and use cases from different industries. Its application lies in almost all the domains, be it media, HR, finance, gaming, retail, healthcare, or any other industry you can think of. With his experience, he is also a phenomenal trainer and mentor, who willingly provided Career guidance and mentorship to more than 5000 people in the past 20 years in the field of Data Science.īy now, everyone knows how and why data is considered as the new gold/fuel. He has been involved in various projects like designing AI suite of products using Mask R-CNN framework, capturing a dataset via Live Twitter Streaming for further analysis, conducting extensive research on revenue management and pricing analytics in the hospitality sector. Unceasingly, he has even successfully established off-shore business units, dynamically led teams to complete machine learning, NLP projects and built machine learning models to predict the digital marketing outcomes. Midway his career, during his tenure in Intel, he helped Intel save worth $500,000 by streamlining processes, work-flow and eliminating vendor resources.
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He has been certified by IBM as a Data Science Professional, CMMi Software Quality Professional by Carnegie Mellon University, Pennsylvania. When it comes to the US Air Force, he has led a team in Developing Operations Research Program. He is a Data Science professional coming with 7+ years of chronic experience in data analysis, modelling, algorithm development, machine learning and deep learning methodologies.
A Lead Data Scientist who concluded his Master's Degree in Computer Science, an Alumnus of NIT, Calicut and The University of Texas, Arlington, who geared up and kick-started his career from a multinational professional services network company based in Texas, the USA for which he victoriously delivered Global Advantage Project, which earned multi-million-dollar revenue.