Back
Tier-1 employer and Bangalore location increase applicant density despite senior, specialized ML requirements.
Core ML engineering skills transfer broadly, but ecommerce and product-knowledge requirements add domain specificity.
Explicit 9+ years and mandatory production ML/MLOps experience create strict hiring filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and implementation of scalable production ML systems integrated into customer-facing pipelines.
Convert research models into production-ready ML solutions with emphasis on reliability, scalability, and operational excellence.
Mentor engineers and drive technical decision-making and project leadership to completion.
9+ years experience building ML or data-driven systems.
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
Strong programming skills in Python; working knowledge of SQL and basic Spark/PySpark for data processing.
Experience with model serving, MLOps, monitoring systems, and production ML system design.
Experienced in end-to-end ML system design and operationalization at scale with large datasets and distributed frameworks.
Proven leadership capabilities including mentoring engineers and managing complex ML projects from research to production.
Strong collaborator able to align applied research and platform teams to meet performance and reliability targets.