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Data Scientist at Applied Materials

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Deep Learning, Natural Language Processing, Python, TensorFlow, PyTorch, Keras, MLOps, Data Preprocessing, Transformer Architectures, Prompt Engineering, Computer Vision, UNIX/Linux, Analytical Skills, Communication Skills, Collaboration

Industry

Semiconductor Manufacturing

Description

B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field. A master's degree in Computer Science, Artificial Intelligence, or a specialization in Deep Learning or Natural Language Processing is highly preferred. 4 - 7 years of IT experience, with a minimum of 3+ years in data science. Proven experience in designing, pretraining, and fine-tuning large-scale deep learning models, including Large Language Models (LLMs) for NLP tasks such as text generation, summarization, and question answering. Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows. Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment. Proficiency in data preprocessing, augmentation, and handling large-scale datasets (text, image, or multimodal). Solid understanding of transformer architectures (e.g., BERT, GPT, LLaMA) and techniques for pretraining and fine-tuning LLMs. Knowledge of prompt engineering, parameter-efficient fine-tuning (LoRA, adapters), and evaluation of generative models. Exposure to computer vision or multimodal models is a plus. Experience working in UNIX/Linux environments and using command-line tools for automation and scripting. Strong analytical and problem-solving abilities. Excellent communication skills—interpersonal, written, visual (presentations), and verbal. Ability to collaborate effectively across cross-functional teams and mentor junior team members.

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Responsibilities

The Data Scientist will design, pretrain, and fine-tune large-scale deep learning models for various NLP tasks. The role requires collaboration across cross-functional teams and mentoring junior team members.