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Strong employer brand, metro/hybrid role, and broad ML/AI skill requirements drive high applicant competition.
Core ML/AI skills are broadly transferable across industries, so background sensitivity is low.
No explicit years but leadership, advanced ML skills, and required certifications create moderate shortlisting filters.
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Lead design, development, and deployment of AI models and algorithms to drive innovation and business intelligence.
Collaborate with cross-functional teams to define AI project goals and requirements.
Provide technical guidance and mentorship to junior data scientists while implementing and optimizing AI solutions.
Bachelor's degree in Business Analytics, Computer Science, or Statistics; Master's in Data Science preferred.
Required skills include Artificial Intelligence (AI), Automated Machine Learning (AutoML), Machine Learning Model Management, Statistical Models, Agile Methodology.
Proficient in English at C2 level.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading end-to-end AI solution implementations in a corporate environment.
Skilled at collaborating with cross-functional teams to align AI models with business goals.
Demonstrates technical leadership including mentoring capabilities and keeping abreast of latest AI/data science trends.