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Niche LLM expertise and lesser-known employer reduce competition despite metro locale.
Specialized LLM and conversational AI skills limit cross-industry transferability, requiring domain-specific experience.
Explicit 7-year requirement plus specific LLM, cloud, and MLOps mandates raise filtering strictness.
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Own end-to-end development, fine-tuning, deployment, and optimization of conversational AI and large language models (LLMs).
Define technical strategy and model architectures including integrating Retrieval-Augmented Generation (RAG) techniques and voice API integrations (e.g., Twilio, Vonage).
Lead collaboration across teams, mentor junior members, and leverage cloud infrastructure (AWS/GCP/Azure) for scalable AI deployments.
Minimum 6 years of hands-on experience in AI/ML with a focus on NLP and LLMs.
Proven expertise in designing, fine-tuning, and deploying conversational AI or related machine learning models.
Strong programming skills in Python and ML frameworks such as TensorFlow or PyTorch.
Experience deploying AI models on cloud platforms (AWS, GCP, or Azure) and familiarity with MLOps practices.
Experienced in leading technical initiatives involving conversational AI or voice-based systems, with demonstrated operational ownership.
Strong domain expertise in NLP, LLMs, and RAG techniques, capable of defining and executing technical strategies.
Comfortable working cross-functionally and mentoring, with hands-on experience using OpenAI models and integrating voice APIs.