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Hiring AI ML Data Engineer ll Fresher to Experience ll Master’s degree ll Apply

Hiring AI ML Data Engineer ll Fresher to Experience ll Master’s degree ll Apply

  • Chennai

KLA

Company Name : KLA
KLA Corporation Overview
  • Primary Business: KLA Corporation is a leading supplier of process control and yield management solutions for the semiconductor and related nanoelectronics industries.
  • Core Function: They provide advanced equipment and services—including inspection tools, metrology systems, and software—that are essential for detecting defects, measuring critical dimensions, and optimizing production yields in chip manufacturing.
  • Industry Role: KLA plays a pivotal, foundational role in the global electronics market, as its technologies are integral to the production of virtually all high-performance microchips (found in devices like smartphones, computers, and cars).
  • Market Position: The company holds a majority market share in the specialized segment of semiconductor process control.
  • Key Products/Segments:
    • Semiconductor Process Control: Inspection, metrology, and software for integrated circuits (ICs), wafers, and reticles.
    • Specialty Semiconductor Process: Advanced vacuum deposition and etch process tools.
    • PCB and Component Inspection: Solutions for printed circuit boards and electronic components.
  • Headquarters & Operations: Headquartered in Milpitas, California, with a global footprint spanning North America, Asia-Pacific, and Europe.
  • Ticker Symbol: Trades on NASDAQ under the symbol KLAC.
  • Financial Highlight (FY 2025): Reported total revenue of approximately $12.16 billion and GAAP net income of $4.06 billion (as of end of Fiscal Year 2025).
Job highlights
  • Doctorate or Master’s degree with experience in ML/DL; strong in Python, PyTorch, and RAG pipelines
  • Develop and optimize RAG pipelines, fine-tune LLMs, and implement model evaluation frameworks

Job description

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. Youll 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 NumPy, 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 PyTorch (preferred) or TensorFlow/ 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, ElasticSearch ).
  • 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 LangChain / LlamaIndex /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 Were 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
Apply : https://www.naukri.com/job-listings-ai-ml-data-engineer-kla-tencor-software-india-pvt-ltd-chennai-0-to-5-years-041225930957?src=jobsearchDesk&sid=17649933980696338&xp=9&px=1&nignbevent_src=jobsearchDeskGNB

To apply for this job please visit www.naukri.com.