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Metro location and recognized employer but senior niche LLM requirements moderate applicant density.
Core LLM skills are transferable, but semiconductor domain and agentic AI specialization moderately limit fit.
Explicit 8+ years, 6+ years data science and 2+ agentic AI plus specific LLM and MLOps requirements.
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Design, prototype, develop, and deploy AI/GenAI solutions at enterprise scale, focusing on large-scale LLMs for text generation, summarization, and question answering.
Build and fine-tune transformer-based models using large unstructured datasets and deep learning frameworks.
Lead multiple initiatives involving AI solutioning, collaborate across teams, and mentor junior members, with occasional travel (~10%).
8+ years IT experience with at least 6+ years in data science and 2+ years in agentic AI.
Strong Python skills and hands-on experience with TensorFlow, PyTorch, or Keras.
Experience designing, pretraining, and fine-tuning large-scale LLMs (e.g., BERT, GPT, LLaMA) and working with large unstructured datasets.
Bachelor’s or Master’s degree in Computer Science, Electronics & Communication or related field; Master’s preferred in CS, AI, Deep Learning, or NLP.
Experienced in production deployment of AI/ML solutions for semiconductor or manufacturing domains.
Comfortable with AI orchestration tools like LangChain, LangGraph, or LlamaIndex and MLOps practices including CI/CD.
Familiar with Azure cloud environment and UNIX/Linux for infrastructure management and scripting.