AI Engineer

• This position involves developing advanced image processing algorithms for wafer inspection.
• Deep understanding and application knowledge of machine learning and computer vision; familiarity with major deep-learning architectures such as CNN, GAN, Transformer.
• Strong hands-on coding ability in either Python or C++; experience with Linux is preferred.
• Familiarity with major DL frameworks such as TensorFlow or PyTorch.
• Strong teamwork with excellent written and verbal communication skills.
• Experience in unsupervised machine learning, handling large data, and anomaly detection is a bonus.
• Experience deploying ML/DL algorithm solutions end-to-end is preferred.
  

Minimum Qualifications

• New graduates in Ph.D., Dual Degree, Masters, or Bachelors programs are eligible (preferred fields: EE, CS, Mathematics).
• Working knowledge of machine vision.
• Knowledge of deep learning with experience in TensorFlow, Theano, PyTorch, etc.
• 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/M.Sc.: Minimum 4+ years OR M.Tech/MS: Minimum 3+ years OR PhD: 0 years (degree from Tier 1 college).
• Degree only from Tier 1 Colleges (IIT/IIIT/IISC/NIT/VIT) or Tier 1 State Colleges (PSG/CEG).
• Candidates must be from product-based companies.
• Minimum 4 years’ experience in:
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Minimum 2 years’ experience in Computer Vision/Image Processing.
• Candidate must show stability (at least 2 years in an organization).
• Relocation to Chennai is mandatory.
  

Nice to Haves

• B.Tech/M.Tech in CSE/IT/ECE/DS is preferred.
• Candidates from semiconductor companies (any college) can be considered.
  

Additional Guidelines

• 3 technical and 2 non-technical interview rounds.
• Hybrid work mode.