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Tier-1 brand, generalist ML title, broad full-stack requirements, metro hiring attract dense applicant pool.
Core ML and engineering skills are transferable, but healthcare domain knowledge increases sensitivity.
Requires ML leadership, full-stack and production deployment skills despite no explicit years.
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Lead design, development, and implementation of AI/ML solutions aligned to business objectives.
Build, deploy, optimize AI/ML models and integrate AI capabilities into applications and workflows.
Provide technical leadership and mentorship while overseeing end-to-end delivery including development, testing, and support.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
Solid experience in AI/ML model development, deployment, and optimization.
Expertise in full-stack development (React JS/Angular plus backend technologies).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in translating complex business problems into scalable AI-driven solutions.
Proven leadership abilities with experience driving end-to-end delivery and mentoring teams.
Strong technical proficiency in Python, Java, or similar languages and expertise in data processing and system integration.