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Tier-1 brand, metro location, senior GenAI role with broad sought-after skillset.
Specialized GenAI skills are transferable, but banking compliance and enterprise scale add moderate domain-specific bias.
Requires 7+ years and specific LLM, PyTorch, deployment, and cloud expertise.
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Develop and deploy AI/ML models using major frameworks like PyTorch, TensorFlow, and Keras.
Work with Generative AI technologies including LLMs, prompt engineering, fine-tuning (LoRA, QLoRA), and RAG systems with hybrid search.
Manage model deployment and containerization using Docker, and maintain AI development using Python and version control (Git).
7+ years of professional experience in AI/ML development with exposure to Generative AI.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Keras.
Experience with containerization (Docker) and version control (Git).
Experienced in deploying scalable AI/ML projects in collaborative, possibly cloud-based, environments (AWS, GCP, Azure is a plus).
Hands-on knowledge of large language models and generative AI toolkits like LangChain, Hugging Face, LlamaIndex.
Ability to adhere to AI compliance, data privacy, and responsible AI principles within development and deployment processes.