AI Engineer // KLA India // 3-8 Yrs // Chennai
- Chennai, Tamil Nadu
- Permanent
- Full-time
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Job Description
- 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.