Senior Data Scientist / AI Engineer

* ## 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 solution 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 orientated, quick prototyping, and build AI / GenAI solution 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 build model with large unstructured data, Solutioning, Deep learning framework and Re-enforcement 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 solution at large forums. ## Qualifications ### Education: Bachelor's Degree ### Skills ### Certifications: ### Languages: ### Years of Experience: 7 - 10 Years ### Work Experience: ## Additional Information ### ### Shift: Day (India) ### ### Travel: Yes, 10% of the Time ### ### Relocation Eligible: Yes ### Referral Payment Plan: Employee Referral (Enhanced) Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.