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Niche LLM specialization reduces applicant density despite Tier-1 employer.
LLM and model-deployment skills are broadly transferable, though enterprise controls and compliance raise specificity.
Senior title plus mandated LLM fine-tuning, optimization, and production integration skills create stringent filtering.
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Design and develop generative AI solutions, including fine-tuning large language models using techniques like LoRA and instruction tuning.
Implement and optimize scalable, production-ready AI deployments with a focus on real-time and streaming capabilities.
Collaborate with cross-functional teams and mentor junior developers while ensuring ethical AI practices and compliance.
Strong hands-on experience with LLM fine-tuning methods (LoRA, QLoRA, Adapter/Prefix Tuning, instruction tuning).
Experience with model optimization techniques such as compression and quantization, and tools like DeepSpeed, vLLM, GPTQ.
Proficiency in prompt engineering and familiarity with prompt design frameworks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in advanced generative AI methods with practical deployment of LLMs in production environments.
Able to lead technical collaboration across teams and provide mentorship to junior members.
Focused on building scalable AI solutions with knowledge of ethical AI, data privacy, and compliance standards.