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Tier-1 bank, Bangalore location, popular ML role with broad MLOps requirements increases competition.
Requires deep ML/MLOps expertise, moderately favoring candidates with domain or regulated-industry experience.
Explicit ten-year requirement and specific MLOps, cloud, and framework skills enforce strict shortlisting.
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Drive deployment, automation, maintenance, and monitoring of machine learning models in production environments.
Collaborate with teams to design and develop advanced machine learning products and automate complex model pipelines.
Lead direct reports and multidisciplinary teams using Agile methodologies to deliver complex projects and achieve outcomes.
10 years of experience in machine learning on large datasets.
Academic background in STEM discipline (Mathematics, Physics, Engineering, Computer Science).
Experience building, testing, supporting, and deploying ML models with CI/CD tools such as TeamCity and CodeDeploy.
Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment.
Experienced leader capable of managing teams and delivering multi-disciplinary ML projects using Agile.
Strong technical proficiency with Python, ML frameworks (TensorFlow, PyTorch), CI/CD, containerization (Docker), and cloud deployment.
Strategic communicator able to translate complex ML solutions into business impact and foster stakeholder relationships.