Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world
Job Summary
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world.
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers.
We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.
Matching Summary
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world.
Skills & Requirements
Must-have
Python programming
TensorFlow, PyTorch, or Keras
Transformer architectures (BERT, GPT, LLaMA)
MLOps best practices
Databricks, MLflow, Delta Lake
Cloud platforms (Azure preferred)
UNIX/Linux environments
Nice-to-have
LLM orchestration frameworks
AI-assisted coding tools
Computer vision or multimodal models
Cross-functional team collaboration
Mentoring junior members
Key Requirements
6-10 years IT experience
6+ years data science experience
Proven LLM pretraining and fine-tuning experience
B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, or related field
Master's degree in Computer Science, AI, Deep Learning, or NLP highly preferred