Work on real-world Generative AI and NLP applications for the insurance domain.
Build and deploy LLM-based pipelines using modern frameworks.
Gain hands-on experience with cloud ML infrastructure.
Learn how to manage end-to-end ML workflowsfrom experimentation to deployment.
Collaborate with cross-functional teams (data, backend, product).
Contribute to improving model accuracy, reliability, and scalability.
What You Need to Succeed :
Bachelors or Masters degree in Computer Science, Machine Learning, or related field.
experience in ML, data science, or related software engineering roles (internships count).
Strong understanding of ML fundamentals, deep learning architectures, and data processing.
Experience building or fine-tuning models using Python ML frameworks.
(ref : hirist.tech)
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Machine Learning Engineer • Bangalore
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