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Tier-1 brand, remote role, and metro Bangalore increase applicant density.
Strong ML/AI transferability but semiconductor domain knowledge increases sensitivity.
Explicit 8+ years plus specific ML/LLM, agentic AI, and toolchain requirements.
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Design, prototype, develop, and deploy AI and GenAI software solutions for semiconductor manufacturing components using large-scale unstructured data.
Lead AI solution development including designing, pretraining, and fine-tuning large language models (LLMs) for tasks like text generation, summarization, and question answering at an enterprise scale.
Troubleshoot software problems, develop documentation and test procedures, and collaborate with internal customers to meet project requirements, including mentoring junior team members.
8+ years IT experience including 6+ years in data science and 2+ years specifically in Agentic AI with multiple production deployments using unstructured data.
Bachelor's degree in Computer Science, Electronics & Communication, or related; Master's in Computer Science, AI, Deep Learning, or NLP preferred.
Strong Python programming with experience in TensorFlow, PyTorch, or Keras; solid understanding of transformer architectures (BERT, GPT, LLaMA) and fine-tuning techniques (SFT, LoRA, adapters, prompt engineering).
Experience with cloud platforms (preferably Azure), Linux/UNIX environments, and familiarity with MLOps best practices including CI/CD and model versioning.
Demonstrated expertise in leading enterprise-scale AI projects focused on large unstructured datasets and advanced LLM development and deployment.
Research-oriented with ability to prototype quickly and build AI/GenAI solutions integrating transformer models and reinforcement learning.
Experience working in semiconductor or manufacturing domain environments with familiarity of AI orchestration frameworks (LangGraph, LangChain etc.) and cloud-enabled infrastructure.