Experience:

• 8+ years of IT experience
• 6+ years in data science
• 2+ years in Agentic AI
• Experience deploying multiple solutions in production using unstructured data
• Proven experience designing, pretraining, and fine-tuning large-scale LLMs
• Research oriented with quick prototyping and enterprise scale AI/GenAI solution building

Qualification:

• 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
• Domain knowledge in Semiconductor / Manufacturing

Responsibilities:

• Design, prototype, develop, and debug software solutions for semiconductor equipment components
• Develop software documentation and test procedures
• Troubleshoot software problems
• Communicate with internal customers to understand project requirements
• Contribute expertise in intricate systems and anticipate software behaviors
• Drive multiple initiatives and present solutions at large forums
• Collaborate across cross-functional teams
• Mentor junior members

Additional responsibilities:

• Work with cloud platforms and Azure ecosystem
• Work in UNIX/Linux environments with command-line scripting
• Travel 10% of the time
• Eligible for relocation

Nice to have:

• Experience with LLM orchestration frameworks such as LangGraph, LangChain, or LlamaIndex
• Experience with agentic workflows, RAG pipelines, multi-agent system design, MCP, Azure Foundry
• Proficiency in AI-assisted coding tools like Claude Code, GitHub Copilot
• Exposure to computer vision or multimodal models

More skills:

Python programming, TensorFlow, PyTorch, Keras, Transformer architectures (BERT, GPT, LLaMA), Fine-tuning techniques (SFT, LoRA, adapters, prompt engineering), Deep learning frameworks, Reinforcement learning, Data preprocessing, Handling large-scale text, image, multimodal datasets, Databricks, MLflow, Delta Lake, MLOps best practices including CI/CD and model versioning, Cloud platforms (preferably Azure), UNIX/Linux command-line scripting

Other:

• Supportive work culture encouraging learning and career growth
• Commitment to employee health and wellbeing with programs and support
• Full-time, regular employee type
• Equal Opportunity Employer