AI Lead/Manager 19773

Company Overview

Our client 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. Our clients invent 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. Our client 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.

(We are looking for ML Experts with experience in Electromagnetic/CFD-ACE products)

1. Design and develop machine learning software solutions for semiconductor devices and thin film metrology.
2. Work with both internal and external customers to define requirements for these software solutions.
3. Build machine learning-based software solutions.
4. Optimize algorithms and prototypical solutions for efficient implementation
5. Design, develop, implement, oversee, and adapt API
6. Extend prototypes into fully functional, polished solutions ready for internal and/or external use
7. Implement solutions in Python with TensorFlow
8. Write comprehensive unit tests and provide technical support during alpha and beta testing
9. Document the design and implementation of the software solutions, and give presentations
   both internally and externally regarding the work
10. Maintain new and existing software solutions throughout the life-cycle of our tools.

Preferred Qualifications:

1. Strong background in machine learning using regression models and TensorFlow framework
2. Background in software architecture, modern development practices, and design patterns
3. Background in Python or C#, especially in writing production-quality, object-oriented code
4. Background in parallel / distributed computing, performance profiling, and memory optimization
5. Experience in API development is a plus
6. Experience in Azure DevOps is a plus
7. Experience in computational physics and numerical simulations is a plus
8. Experience in semiconductors (electrical properties, manufacturing, and metrology) is a plus
9. Ability and willingness to travel worldwide to support projects at customer sites is a plus

Minimum Qualification

1. 2 Years’ experience leading or managing a team of machine learning algorithm engineers
2. BS in Computer Science or related computational field with at least 10 years of experience or
3. MS in Computer Science or related computational field with at least 8 years of experience or
4. PhD in Computer Science or related computational field with at least 5 years of experience

Must-Have Skills

Skills – C# or Python, Machine learning (using regression models and TensorFlow framework, 
Artificial intelligence, Physics/FEA/CFD/electromagnetics)
BTech or MTech – 8+ yrs C# or python will do
PhD – 5+ years C# or Python will do
Product Company Experience is a must. Candidates from engineering product companies have higher chances of select.
Education – Tier -1 colleges like (IIT, IIIT, VIT, NIT)
Notice Period – 90days
Good communication skills.