





Tier-1 brand, mid-level ML role, metro context, and broad skillset increase candidate competition.
Strong ML/AI skills transfer across industries, though banking compliance and domain knowledge increase sensitivity to background.
Mandatory 6+ years, ML/Generative AI expertise and specific tech stack create high shortlisting strictness.
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Lead design, development, and deployment of Machine Learning and Generative AI models targeting complex business problems.
Build and optimize Agentic AI systems emphasizing autonomy and decision-making capabilities.
Collaborate cross-functionally to integrate AI/ML solutions and ensure continuous model performance evaluation and improvement.
6+ years of experience in AI/ML with strong Python programming skills and familiarity with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
Hands-on experience with Machine Learning, Generative AI, and Agentic AI systems required.
Bachelor's degree or equivalent experience; Master's degree preferred.
Experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
Experienced in end-to-end AI/ML system design including data preprocessing, model training, deployment, and monitoring.
Comfortable working in fast-paced, collaborative environments with cross-functional teams.
Skilled at implementing scalable, efficient Python-based solutions and integrating AI/ML into existing workflows.