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Tier-1 bank brand and metro Pune location increase applicant density despite niche GenAI seniority.
Specialized GenAI, LLM fine-tuning, and ML deployment skills limit transferability across unrelated industries.
Explicit 7+ years and mandatory ML/GenAI frameworks, deployment, and compliance requirements enforce strict shortlisting.
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Lead development and deployment of generative AI solutions using major ML frameworks like PyTorch, TensorFlow, and Keras.
Implement and fine-tune large language models (LLMs) incorporating techniques such as LoRA and QLoRA, and leverage RAG systems with hybrid search.
Manage AI model deployment including containerization (Docker) and version control integration (Git).
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 programming for AI development, data preprocessing, and scripting.
Familiarity with model deployment and containerization using Docker, and version control systems (Git).
Experienced in delivering AI/ML projects in collaborative environments, preferably within cloud-based ecosystems (AWS, GCP, or Azure).
Hands-on knowledge of generative AI tools such as LangChain, Hugging Face, and LlamaIndex is an advantage.
Pragmatic and detail-oriented in operationalizing AI/ML models with attention to compliance, data privacy, and responsible AI principles.