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Mid-level ML/LLM role in Bangalore at a well-known healthcare tech brand attracts many qualified applicants.
Strong ML/LLM skills transferable, but US healthcare domain preference increases specificity.
Explicit 5+ years plus mandatory ML/LLM tech stack enforces strict screening.
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Develop and maintain enterprise-grade machine learning models and data pipelines using structured and unstructured healthcare data.
Collaborate with AI/ML engineers, data scientists, and product teams to enhance ML models and deliver AI-driven healthcare solutions.
Operate independently to understand product requirements and deliver innovative, scalable solutions focused on large language models (LLM), NLP, and related AI technologies.
Minimum 5+ years of overall professional experience in data science or related fields with at least 3 years hands-on in ML and NLP.
Bachelor's or master’s degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or related field; Ph.D. preferred.
Proficient in Python (mandatory), SQL, machine learning frameworks (TensorFlow, Keras, PyTorch), Hugging Face, with experience in healthcare data and systems.
Experience with cloud platforms (GCP or AWS) and large language models including fine-tuning, prompt engineering, and evaluation techniques.
Experienced in US healthcare data analytics and healthcare system domain, able to handle domain-specific data and regulatory considerations.
Strong independent decision-maker capable of managing complex problems with strategic technical and business acumen.
Skilled in integrating advanced ML/NLP techniques such as transformer-based architectures, large-scale information retrieval, and generative AI models into enterprise solutions.