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Mid-level ML role in Bengaluru at a recognizable healthcare tech firm attracts many qualified applicants.
Core ML skills transfer broadly, but healthcare product experience and domain familiarity increase role specificity.
Explicit 5-8 years plus mandatory ML model development and deployment experience creates stringent filters.
Develop, evaluate, and deploy machine learning models for healthcare products within scrum teams of 2-4 members.
Identify and apply suitable machine learning techniques to real-world healthcare challenges, ensuring rigorous testing of models and code.
Contribute to internal tools development and enforce best practices in modeling, coding, architecture, and statistics within the team.
Bachelor's or Master's degree in Math, Computer Science, Data Science, Statistics, or related field.
5-8 years of professional experience in developing, evaluating, and deploying machine learning models.
Proficiency in Python, SQL, and Unix.
Work Experience Required: 5-8 years in relevant ML roles.
Experienced working in small agile scrum teams delivering ML solutions for complex problems, preferably in healthcare domain.
Strong technical skills demonstrated by experience with advanced ML techniques, with bonuses for Deep Learning, large language models, and AWS ecosystem.
Focused on production readiness including rigorous testing, code quality, and deployment best practices in operational environments.