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Strong employer brand, popular AI role title, and Bangalore location increase applicant density.
Core ML engineering skills are transferable, but pharma/healthcare domain focus increases industry specificity.
Master's degree requirement, explicit 0–2 years, and specific ML/programming skills raise filtering strictness.
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Develop and scale AIML models and algorithms specifically for pharma and healthcare applications, moving from prototype stage to production-grade solutions.
Test and validate AI/ML models to ensure viability for client delivery and address pharmaceutical domain challenges.
Collaborate in developing new algorithms and automation engines, implementing fit-for-purpose solutions with guidance from senior engineers and researchers.
Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field.
0-2 years of experience creating machine learning algorithms.
Programming experience in one or more of: Java, C++, Python, R, or deep learning frameworks.
Experience working with large, real world datasets.
Early-career professional with foundational knowledge in machine learning algorithm development and practical implementation.
Experience or interest in applying AI/ML techniques to pharma/healthcare problems with an emphasis on transitioning prototypes to products.
Collaborative learner comfortable working under guidance while contributing to AI/ML research and production tasks.