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Tier-1 bank, mid-level generalist ML/AI role in Bangalore with broad stack attracts high candidate density.
Banking-focused AI governance and operations require industry-specific experience, reducing cross-industry transferability.
Multiple mandatory ML/AI tools, production experience and banking governance expectations drive strict screening.
Lead design, development, and implementation of AI solutions to improve Corporate and Investment Banking Operations and Controls efficiency and revenue.
Collaborate with IT and cross-functional teams to deploy scalable AI tools ranging from low-code automations to advanced data products.
Ensure AI solutions meet governance, testing, and monitoring requirements while tracking KPIs to demonstrate value.
Experience in deploying classical Machine Learning algorithms and AI tools into production, preferably in tier 1/G-SIB banking.
Proficiency with Data Science/AI platforms and developer tools such as PyTorch, TensorFlow, scikit-learn, MLflow, Google Vertex, Jupyter Notebook, and use of no-code/low-code AI tools.
Strong knowledge of AI risk management best practices including solution lifecycle controls and automation of monitoring.
Work Experience Required: Not explicitly mentioned in the JD. Location: Bangalore, India.
Experienced in operationalizing AI solutions within large banking or financial services environments, demonstrating ability to meet regulatory and governance standards.
Comfortable working at the intersection of business and technology, collaborating across teams including IT, product, and operations.
Demonstrates expertise in leveraging both code-based and no-code AI tools to rapidly deliver scalable, governed AI-driven workflow improvements.