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Metro Bangalore, popular AI title, and broad ML/NLP requirements increase candidate competition.
Core ML skills transfer across industries, but pharma/healthcare data focus adds moderate domain specificity.
Explicit 0–2 years requirement plus ML technical and programming skills create moderate filtering.
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Develop and transition AIML models from prototypes to production-grade algorithms for pharma and healthcare applications.
Test and validate algorithms for viability and client delivery at scale.
Collaborate and assist in building, training, and improving machine learning and natural language processing models using large, real-world datasets.
Master's degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field.
0-2 years experience creating machine learning algorithms.
Programming experience in one or more: Java, C++, Python, R, Deep Learning or equivalent.
Experience working with large, real-world datasets.
Early-career machine learning professional focused on pharma/healthcare AI applications.
Comfortable assisting and collaborating in development, testing, and deployment phases under guidance.
Skilled in programming and algorithm development for handling complex, high-dimensional data.