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Tier-1 brand and metro location increase competition, but senior, specialized role limits applicant pool.
Highly domain-specific ML leadership role requiring deep AI/ML and production experience.
Explicit 12+ years, leadership requirement, and mandatory technical skills make filters strict.
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Lead design, development, and implementation of scalable AI/ML solutions using Python, SQL, pandas, numpy, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
Oversee end-to-end ML workflows including data prep, feature engineering, model development, evaluation, deployment, and continuous monitoring.
Build and maintain production-grade ML pipelines and infrastructure on multi-cloud platforms (Azure/GCP primarily), ensuring model health, drift analysis, and observability.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
12+ years of experience in Data Science, AI/ML or similar role, including 2+ years in leadership roles.
Proven experience with full AI/ML project lifecycle, production-grade delivery, and strong programming skills in Python (including pandas, numpy) and SQL.
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and ML pipelines/tools such as MLflow, Feature Stores, ONNX.
Experienced leader comfortable managing AI/ML projects from ideation through deployment and monitoring in large-scale, multi-cloud environments.
Strong technical contributor with hands-on proficiency in Python-based AI/ML development and operationalization.
Skilled collaborator capable of translating business requirements into technical AI/ML solutions and guiding engineering governance and architecture standards.