AI Engineer

Key Responsibilities

• Develop advanced image processing algorithms for wafer inspection.
• Apply machine learning and computer vision techniques with a strong understanding of deep learning architectures (CNN, GAN, Transformer, etc.).
• Write high-quality, efficient code in Python or C++ (experience with Linux preferred).
• Work with major deep learning frameworks such as TensorFlow or PyTorch.
• Collaborate effectively with cross-functional teams, demonstrating excellent communication skills.
• (Bonus) Apply unsupervised learning, anomaly detection, and large-scale data handling.
• (Bonus) Deploy ML/DL solutions end-to-end in real-world scenarios.
  

Minimum Qualifications

• Ph.D., Dual Degree, Master’s, or Bachelor’s degree in EE, CS, Mathematics, or a related field.
• Strong foundation in machine vision.
• Working knowledge of deep learning with hands-on experience in frameworks such as TensorFlow, Theano, or PyTorch.
• Experience with advanced DL techniques like GANs, Autoencoders, and Semantic Segmentation.
• Ability to translate real-world problems into mathematical formulations.
  

• Total experience not exceeding 9 years.
• Experience thresholds based on degree:
• B.Tech/M.Sc.: Minimum 4+ years
• M.Tech/MS: Minimum 3+ years
• Ph.D.: 0 years required
• Degree from a Tier 1 College (IIT, IIIT, IISC, NIT, VIT, PSG, CEG).
• Minimum 4 years of hands-on experience in:
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Minimum 2 years of experience in Computer Vision / Image Processing.
• Background in a product company.
• Strong job stability (minimum 2 years in an organization).
• Willingness to relocate to Chennai.
  

• B.Tech/M.Tech in CSE, IT, ECE, or Data Science.
• Experience in the semiconductor domain (candidates from any college can be considered if from this sector).