Total No of Vacancies: 05
Job Location: Trivandrum Kerala
Name of the Post & No of Vacancies:
IIITDM Invites Applications for the Following Posts
SI No
|
Name of Post
|
No. of Post
|
1.
|
Machine Learning Engineer
|
01
|
2.
|
Data Engineer
|
01
|
3.
|
Computer Vision Engineer
|
01
|
4.
|
Deep Learning
|
01
|
5.
|
Post-Doctoral Fellow
|
01
|
Total
|
05
|
Educational Qualification:
SI No
|
Name of Post
|
Qualification
|
1.
|
Machine Learning Engineer
|
MSc Mathematics or M.Tech/MSc in CS/ECE/AI or Ph.D. in CSE/ECE/AI. Final year MSc/M. Tech students from IIITs or IITs, who are awaiting results are also eligible to apply. Must be familiar with Tensorflow and Keras libraries. Hands-on experience in machine learning/deep learning projects will be given preference. Fresher’s and those about to graduate by June 2020 can apply. Maximum work experience of not more than five years
|
2.
|
Data Engineer
|
MSc Mathematics or M. Tech/MSc in CS/ECE/AI or Ph.D. in CSE/ECE/AI. Final year MSc/M. Tech students from IIITs or IITs, who are awaiting results are also eligible to apply. A strong theoretical understanding of machine learning and deep learning fundamentals is necessary. Fresher’s and those about to graduate by June 2020 can apply
|
3.
|
Computer Vision Engineer
|
MSc Mathematics or M. Tech/MSc in CS/ECE/AI or Ph.D. in CSE/ECE/AI. Final year MSc/M. Tech students from IIITs or IITs, who are awaiting results are also eligible to apply. Must be familiar with computer vision libraries. Fresher’s and those about to graduate by June 2020 can apply. Maximum work experience of not more than five years
|
4.
|
Deep Learning
|
MSc Mathematics or M.Tech/MSc in CS/ECE/AI or Ph.D. in CSE/ECE/AI. Final year MSc/M.Tech students from IIITs or IITs, who are awaiting results are also eligible to apply. A strong theoretical understanding of deep learning fundamentals is necessary. Fresher’s and those about to graduate by June 2020 can apply
|
5.
|
Post-Doctoral Fellow
|
Ph.D. in CSE/ECE/AI. Degree holders from the top 500 universities preferred, unless in exceptional cases. A strong theoretical understanding of deep learning fundamentals is necessary
|