Data Science Specialist

Company Overview

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.

Statistical Modelling, Machine learning algorithms and Conversational AI

Responsibilities for Data Scientist/ML Engineer:

• Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale.

• Research and devise innovative statistical models/ML models for data analysis

• Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques.

• Use predictive modeling to increase and optimize customer service experience and supply chain optimization.

• Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets.

• Work with business partners throughout the organization to find opportunities for using company data to drive solutions.

• Working with project managers to establish objectives for AI systems.

Minimum Qualifications

Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline

• Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry

• 4+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn).

• Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees.

• Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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