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Tier-1 brand, mid-level ML role in Bangalore with popular LLM skills increases applicant competition.
Generative AI skills transfer across industries, though insurance domain knowledge moderately affects fit.
Explicit years plus mandatory deep learning, NLP, Hugging Face, and cloud experience create strict filters.
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Design, fine-tune, and train large language models to develop and scale Generative AI systems.
Own end-to-end process of data collection, model training, and deployment for machine learning models.
Research and implement advanced deep learning, NLP, and Generative AI techniques; optimize training pipelines and develop performance metrics.
Minimum 4 years industry experience in deep learning models focused on NLP and Generative AI.
Proficiency in Tensorflow, PyTorch, Keras, and Hugging Face Transformer libraries.
Experience with cloud-based services like Microsoft Azure for model training and deployment.
Proficient in Python or R programming; experience in large dataset preprocessing and NLP techniques.
Experienced AI/ML professional skilled in developing scalable Generative AI systems and large language models.
Capable of full lifecycle ownership from data handling to deployment in cloud environments.
Strong technical expertise in deep learning frameworks and NLP with emphasis on innovation and efficiency in model building.