AI Engineer
AI Engineer
Posted on :
27-06-2025
Employer Active
1 Vacancy
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Job Description
Roles and amp; Responsibilities:
This position involves developing advanced image processing algorithms for the wafer inspection.
Deep understanding and application knowledge on the machine learning and computer vision familiar with major deep-learning architecture like CNN GAN Transformer.
Strong hands-on coding ability on either python or C experience with Linux is preferred.
Familiarity with the major DL frameworks either TensorFlow or PyTorch
Great teammate with excellent written and verbal communication skills.
Experience of unsupervised machine learning handling large data and anomaly detection is a bonus.
Experience of deploying a ML/DL algorithm solution end-to-end is preferred.
Minimum Qualifications
New college graduates in any of the following degree: Ph.D. Dual Degree Masters or Bachelors. (Candidates from EE CS and Mathematics background would be preferred)
The ideal candidate will have a working knowledge of Machine Vision.
Knowledge of Deep Learning with working experience in Tensor Flow Theano PyTorch etc.
Working experience in one or more of the following DL techniques: GANs Auto Encoders Semantic Segmentation
Ability to formulate problems into mathematical equations.
Must-Haves :
- Total experience not more than 9 years Minimum 4 years or Minimum 3 years or Phd 0 years( candidate MUST be from tier 1 college)
- Degree Only from Tier 1 College(IIT/IIIT/IISC/NIT/VIT) Or Tier 1 state Colleges (PSG/CEG)
- Candidates from product company only
- Min 4 yrs experience in the below skills
- Artificial Intelligence
- Machine learning
- Deep Learning
- Computer vision/Image processing
- -No job hoppers(candidate must have good stability- min 2 years in an organisation)
- No Poach - HCL (current company must not be HCL)
- -Relocation to Chennai is mandatory
Nice to Haves :
- in CSE/IT/ECE/DS is preferred
- Candidates from Semicon company from any college can be considered.
Additional Guidelines :
- 3 technical and 2 non technical rounds of interview.
- Hybrid work mode
Employment Type
Full Time
Key Skills
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