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Tier-1 brand, mid-level analytics title, metro locations, and broad cross-skill requirements drive high competition.
Core ML/AI engineering skills are transferable, but banking risk, compliance, and domain experience increase sensitivity.
Explicit 4+ years plus mandatory AI/ML, Python, LLM, cloud, and analytics platform skills create high shortlisting strictness.
Consult on and analyze moderately complex business, operational, and technical challenges to drive strategic initiatives.
Develop deep understanding of technical systems and business processes to extract data-driven insights and identify engineering improvement opportunities.
Lead or participate in large cross-group projects and mentor less experienced staff while collaborating across functions.
4+ years of analytics experience or equivalent demonstrated through work, training, military experience, or education.
Must be willing to work onsite in Bangalore or Hyderabad at mid-shift (1:30 PM - 10:30 PM), Monday to Friday, weekend off.
Strong compliance and risk management understanding related to supported business area.
Work Experience Required: 4+ years of analytics experience (explicit).
Expert in Python for analytics, automation, anomaly detection, and AI/ML solution development with hands-on technical leadership experience.
Experience with LLMs, prompt engineering, RAG architectures, AI-powered analytics, and agentic AI solutions including multi-step reasoning and tool orchestration.
Proven ability to lead modernization, automation, platform transformation, and influence enterprise AI adoption partnering with senior leaders.