Senior Data Scientist / AI Engineer

Applied Materials India; Bengaluru; On-site; INR 4,200,000 - 6,200,000; Full time

Job summary

Applied Materials India seeks a senior software engineer to advance AI and GenAI solutions for semiconductor equipment. You will design and prototype software, train and fine‑tune large language models, and build end‑to‑end AI pipelines for high‑value industrial problems.

You will collaborate with cross‑functional teams, mentor juniors, and drive multiple AI initiatives in a cloud‑friendly Unix/Linux environment, leveraging Databricks and MLOps practices.

Qualifications

• 8+ years IT experience with 6+ years in data science and 2+ years in Agentic AI.
• Proven experience designing, pretraining, and fine‑tuning large‑scale LLMs for tasks like text generation, summarization, QA.
• Research‑oriented with rapid prototyping and enterprise‑scale GenAI solutions.

Responsibilities

• Design, prototype, and develop software for semiconductor equipment components.
• Create documentation and test procedures; troubleshoot software issues.
• Collaborate with internal customers to understand requirements and deliver robust AI solutions.

Skills

Python

TensorFlow

PyTorch

Keras

Transformers

LLMs

MLOps

CI/CD

LangGraph

LangChain

LlamaIndex

Azure

Unix/Linux

Education

B.E./B.Tech/M.Tech/MCA in CS/EC/related

M.S. in CS/AI/NLP (preferred)

Domain: Semiconductor

Tools

Databricks

MLflow

Delta Lake

CI/CD tooling

LangGraph

LangChain

LlamaIndex

Job description

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

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. 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.

Location

Bangalore, IND

Responsibilities

As a Software Engineer at Applied Materials, you’ll dive deep into ground‑breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high‑value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You’ll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you’ll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.

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 - Must

• 8+ years of IT experience, with 6+ years in data science and 2+ Years in Agentic AI. Deployed multiple solutions in Production using unstructured data.
• Proven experience designing, pretraining, and fine‑tuning large‑scale LLMs for tasks such as text generation, summarization, and question answering.
• Research‑oriented, quick prototyping, and building AI / GenAI solutions at enterprise scale.

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 (SFT, LoRA, adapters, prompt engineering).
• Deep expertise in building models with large unstructured data, solutioning, deep learning framework and reinforcement learning.
• 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, multi‑agent system design, MCP, Azure Foundry etc.
• 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.
• Drive multiple initiatives and present solutions at large forums.

Additional Information

• Time Type: Full time
• Employee Type: Assignee / Regular
• Travel: Yes, 10% of the Time
• Relocation Eligible: Yes

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.