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Strong Tier-1 brand, metro context, but niche GenAI skills reduce applicant density.
Highly specialized GenAI/ML skills and model fine-tuning make cross-industry transferability limited.
Explicit 7+ years requirement plus multiple mandatory ML, LLM fine-tuning, RAG, and deployment skills.
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Develop and deploy machine learning models using major frameworks like PyTorch, TensorFlow, and Keras.
Implement and fine-tune large language models (LLMs) with techniques such as prompt engineering, LoRA, and QLoRA.
Manage model deployment and containerization processes including use of Docker, and work with generative AI tools like LangChain and Hugging Face.
Bachelor's or Master’s degree in Computer Science, Data Science, AI, or related field.
7+ years of professional experience in AI/ML development with exposure to Generative AI.
Proficiency in Python, experience with machine learning frameworks (PyTorch, TensorFlow, Keras).
Experience with containerization (Docker) and familiarity with version control (Git).
Senior AI/ML developer with demonstrated experience delivering AI/ML projects in collaborative, cloud-based environments.
Hands-on expertise in LLMs, prompt engineering, and RAG systems integrating hybrid search techniques.
Experienced in deploying AI models using containerization and familiar with generative AI frameworks and responsible AI principles.