KLA Tencor Software Off Campus Drive 2021: KLA Tencor Software invited applications to fill up their vacancies for the position of AI and ML Engineers.
The KLA Tencor Software Off Campus 2021 Education, KLA Tencor recruitment drive batch, KLA Tencor recruitment drive Position, KLA Tencor recruitment drive experience, KLA Tencor recruitment drive pay scale, KLA Tencor recruitment drive skills required, KLA Tencor recruitment drive job description, KLA Tencor recruitment drive important dates, KLA Tencor recruitment drive important links, and KLA Tencor recruitment drive locations are furnished below.
KLA Tencor Software Off Campus Drive 2021
|Organization||KLA Tencor softwares|
|Position||AI and ML Engineer|
|Batch||2018 – 2021|
|Pay scale||22 lakhs – 30 lakhs per year|
|Category||Off Campus Drives|
Other Similar Drives for 2021 and 2020 Batches:
Other Similar Off-Campus Jobs:
- Servicenow Recruitment Drive 2021
- DXC Technologies Off Campus Drive
- Thomson Recruitment Drive for Associate Software Engineer
- Amazon Off Campus Drive for Software Developer Engineer
- The candidates should have completed their graduation in BE / B.Tech / ME / M.Tech in the streams of CS / IT / EC / Electrical / ME
- Batch: 2018, 2019, 2020 and 2021 only.
- Should have at least 70% aggregate in their academic career.
About job Description:
AI Algorithm Engineer:
- Selected candidates need to develop Deep Learning and Machine learning algorithms for various platforms.
- Need to combine all the computer vision and image processing with Deep learning with conventional.
- Need to implement linear and nonlinear optimization techniques.
- The candidates need to contribute to mission-critical production with quality algorithms.
- The candidates need to solve problems using machine vision, AI, DL, Algorithms, and math.
- Candidates should have fundamentals in Computer science, maths and physics.
AI HPC Engineer:
- The candidates need to accelerate AI algorithms to advance innovation technology.
- Need to apply parallel computing.
- Need to apply parallelism in parallel HW architectures like GPU’s.
- One Needs to implement and take challenges using SW like CUDA.
- The candidates should have excellent knowledge in C, C++, Python and Linux tools.
- Should have knowledge in architecture, parallel processing and algo thinking.
About Important Dates:
About Important Links:
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