AI/ML Developer Post in IITI DRISHTI CPS Foundation via Direct Recruitment
Event Status : Created Event
Timeline
Important Dates
Application Opening Date | 27/04/2023 |
Other Important Information
Appointment Type | Direct Recruitment |
Application Submission Method | Online |
Qualification Required | Doctorate, Postgraduate |
Advertisement Number | IITI-DRISHTI-CPS/Sec-8/2023/01 |
Location of Posting/Admission | Indore District, Madhya Pradesh, India, 453331 |
Place of Posting/Admission | Indore, Madhya Pradesh, India |
Work Experience | Yes |
Website | http://drishticps.iiti.ac.in/ |
Organisation Type | Non-Educational Institution |
Interview | Yes |
Application Link | https://docs.google.com/forms/d/e/1FAIpQLSdrZM-thTnorb9LkcFqRZX_YPqdqOi30d3yIoLPNilV8OZGQw/viewform |
Note: This information is common for all posts. For details on specific posts, refer to the official notification.
Posts Released
Important Updates
Refer to the official notification for more details.
Application Summary
IITI DRISHTI CPS Foundation invites applications for the following posts via direct recruitment:
Post Name: Artificial Intelligence/ Machine Learning
Essential Qualification:
Ph.D. in any of the following disciplines Electrical/Electronics & Communication/Computer Science/ or relevant engineering discipline with focus on Artificial Intelligence/Machine Learning (AI/ML) aspects.
M.E. / MTech. in any of the following disciplines Electrical / Electronics & Communication / Computer Science or relevant engineering discipline with focus on Artificial Intelligence / Machine Learning (AI/ML) aspects and 4 years’ experience in industry with applied AI/ML aspects.
Essential Work Experience:
Solid understanding of common programming languages used in AI, such as Python, R, Java, C++. etc.
Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability.
Experience working with large data sets and writing efficient code capable of processing large data streams at speed.
Experience with cloud environments like GCP, AWS or Azure utilizing their AI/ML models.
Experience in deploying AI/ML models in cloud-based platforms such as AWS, Azure, or Google Cloud Platform.
Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership.
Hands on experience in building and leading teams dealing with digital transformation: AI/ML, IoT, device engineering, cloud.
Knowledge of cloud computing, fog computing and edge computing.
Experience in machine learning, deep learning algorithms.
For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.
