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Tier-1 brand and Bangalore metro increase competition, offset by specialized LLM-healthcare requirements.
Healthcare domain focus and compliance requirements create high domain specificity, limiting cross-industry transferability.
Explicit 8+ years, manager level, and specialized LLM/healthcare/LLM-Ops requirements make filters strict.
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Lead and manage teams developing data-driven solutions specifically for healthcare clients, ensuring project success and quality standards.
Oversee design and management of data pipelines and lakes, applying machine learning, AI, and advanced analytics to extract actionable insights and support decision-making.
Mentor junior team members, promote innovative data and analytics engineering practices, and collaborate with stakeholders to identify healthcare data science opportunities.
Bachelor's degree required.
Minimum of 8 years of professional experience.
Proficiency in English, both oral and written.
Experience with advanced analytics, machine learning, AI, and data pipeline management in healthcare context is implied but not explicitly stated as mandatory.
Experienced in programming languages such as Python, R, and C++ relevant to data science projects.
Skilled in end-to-end AI model deployment and management, including LLM frameworks and RAG pipelines in healthcare domain.
Demonstrated capability in leading complex data science workflows with emphasis on predictive modeling and data quality assurance in business or healthcare contexts.