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KLA
KLA

Makes wafer fab equipment.

AI ML Data Engineer

직무데이터 엔지니어링
경력미들급
위치Chennai, India
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

PyTorch

Machine Learning

Customer Service

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.

Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

Job Description/Preferred Qualifications

Role
You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines. You’ll help design, build, and evaluate AI systems that solve complex real-world problems at scale.

  • Key Responsibilities
  • Develop and optimize RAG pipelines: document chunking, embedding generation, vector storage, retrieval, reranking, and grounded generation with citations.
  • Work on LLM-based applications: fine-tuning open-source models (LLaMA, Mistral, etc.), building prompt strategies, and deploying inference services.
  • Contribute to machine learning models (classification, regression, recommendation, anomaly detection) and deep learning architectures (CNNs, RNNs, Transformers).
  • Implement robust model evaluation frameworks (accuracy, F1, BLEU, perplexity, hallucination detection, relevance).
  • Collaborate with senior engineers on scalable pipelines, guardrails, and integration with enterprise systems.

  • Required Skills
  • Programming & Foundations
  • Strong in Python, data structures, and algorithms.
  • Hands-on with Num Py, Pandas, Scikit-learn for ML prototyping.
  • Machine Learning
  • Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).
  • Deep Learning
  • Proficiency with Py Torch (preferred) or Tensor Flow/Keras.
  • Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
  • Familiarity with optimization (Adam, SGD), dropout, batch norm.
  • LLMs & RAG
  • Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
  • Vector databases (Milvus, FAISS, Pinecone, Elastic Search).
  • Prompt engineering, function/tool calling, JSON schema outputs.
  • Data & Tools
  • SQL fundamentals; exposure to data wrangling and pipelines.
  • Git/GitHub, Jupyter, basic Docker.

  • Nice to Have
  • Built a personal ML/LLM project (chatbot, RAG app, document Q&A, finetuned model).
  • Familiarity with Lang Chain/Llama Index/Agno frameworks.
  • Knowledge of cloud platforms (Azure/AWS/GCP) and MLOps basics (CI/CD, MLflow, W&B).
  • Exposure to knowledge graphs or multi-agent workflows.

  • What We’re Looking For
  • Solid academic foundation with strong applied ML/DL exposure.
  • Curiosity to learn cutting-edge AI and willingness to experiment.
  • Clear communicator who can explain ML/LLM trade-offs simply.
  • Strong problem-solving and ownership mindset.

Minimum Qualifications:

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

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

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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KLA 소개

KLA

KLA

Public

KLA Corporation is an American company based in Milpitas, California that makes wafer fab equipment. It supplies process control and yield management systems for the semiconductor industry and other related nanoelectronics industries.

10,001+

직원 수

Milpitas

본사 위치

$47B

기업 가치

리뷰

1개 리뷰

2.7

1개 리뷰

워라밸

2.5

보상

3.0

문화

2.0

커리어

2.5

경영진

1.5

25%

지인 추천률

단점

Disconnected upper management

Management focused only on meeting dates

Low employee morale

연봉 정보

3개 데이터

L4

L5

L4 · Data Scientist

0개 리포트

$147,667

총 연봉

기본급

-

주식

-

보너스

-

$125,532

$169,802

면접 후기

후기 3개

난이도

3.3

/ 5

소요 기간

14-28주

합격률

33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience