Bangalore, Karnataka, India
Information Technology
Full-Time
Recex.co
Overview
Roles & 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.
- 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.
- Total experience not more than 9 years B.Tech/MSC: Minimum 4+ years or M.Tech/MS: 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
- B.tech/M.tech in CSE/IT/ECE/DS is preferred
- Candidates from Semicon company from any college can be considered.
- 3 technical and 2 non technical rounds of interview.
- Hybrid work mode
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