AI Engineer

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.
  

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 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
  

Nice To Haves

• B.tech/M.tech 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