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Tier-1 brand, metro location, and broad AI/ML skillset raise candidate competition.
Role requires deep ML engineering, MLOps, and cloud experience, limiting cross-industry portability.
Explicit 8+ years, 3+ ML years, and mandatory MLOps/cloud skills create strict shortlisting.
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Own end-to-end delivery of AI/ML projects including conception, development, and operationalization.
Set technical direction, provide vision, and raise engineering quality standards for the team.
Design and implement scalable AI/ML applications and contribute to core analytics and generative AI platforms impacting business decisions.
8+ years of professional software engineering experience with 3+ years in Machine Learning Engineering or related fields.
Undergraduate degree in Computer Science, Master's in related engineering field, or equivalent experience.
Proficiency in Python, AWS (including SageMaker, Lambda, API Gateway), database technologies (Postgres, Redis), and data processing technologies (SageMaker or Databricks).
Demonstrable history of technical leadership, mentoring, and delivering value in an agile product environment.
Experienced in leading AI/ML engineering teams, capable of influencing technical strategy end-to-end.
Strong background in software architecture, data modeling, predictive/mathematical optimization model development, and MLOps lifecycle.
Comfortable working in global, collaborative, agile product environments with a focus on high engineering standards and knowledge sharing.