Applied Materials is a global leader in materials engineering solutions, and we're looking for a Data Scientist to join our team in Bangalore, India. As a Data Scientist, you'll design, build, and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips. You'll benefit from a supportive work culture that encourages learning, development, and growth.
Requirements
- B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field
- Master's degree in Computer Science, Artificial Intelligence, or a specialization in Deep Learning or Natural Language Processing is highly preferred
- 6– 10 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
- 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
- Strong expertise in Azure cloud ecosystem
- 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
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Health and wellbeing of employees
- Personal and professional growth
- Professional development
- Supportive work culture
