Senior Data Scientist / AI Engineer

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 

What We Offer

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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. Visit our Careers website to learn more. 

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. 

## Educational Qualifications

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, or a related field.
• Master's degree in Computer Science, AI, Deep Learning, or NLP is highly preferred.
• Domain Knowledge: Semiconductor / Manufacturing

## Experience

• 6–10 years of IT experience, with 6+ years in data science.
• Proven experience designing, pretraining, and fine-tuning large-scale LLMs for tasks such as text generation, summarization, and question answering.

## Technical Skills

• Strong Python programming skills; hands-on with TensorFlow, PyTorch, or Keras.
• Solid understanding of transformer architectures (BERT, GPT, LLaMA) and fine-tuning techniques (LoRA, adapters, prompt engineering).
• Familiarity with Databricks, MLflow, and Delta Lake; experience with MLOps best practices including CI/CD and model versioning.
• Proficiency in data preprocessing and handling large-scale text, image, or multimodal datasets.

- *(Preferred)* Experience with LLM orchestration frameworks such as **LangGraph, LangChain, or LlamaIndex**, including agentic workflows, RAG pipelines, and multi-agent system design.

- *(Preferred)* Proficiency in **AI-assisted coding tools** (e.g., Claude Code, GitHub Copilot) for accelerating development across complex codebases.

- Exposure to computer vision or multimodal models is a plus.

## Cloud & Infrastructure

• Experience working with cloud platforms, with a preference for candidates familiar with the Azure ecosystem.
• Comfortable working in UNIX/Linux environments with command-line scripting.

## Soft Skills

• Strong analytical, problem-solving, and communication skills (written, verbal, and visual).
• Ability to collaborate across cross-functional teams and mentor junior members.

Additional Information

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Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.