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Strong EY brand, metro Bengaluru, and mid-level generalist ML+fullstack role increases candidate competition.
Requires financial risk domain experience and specialized Agentic AI skills, moderately limiting cross-industry transferability.
Explicit 4-8 years plus niche Agentic AI, MLOps, cloud and risk-domain requirements raise strictness.
Lead design and hands-on Python-based full stack development for Risk and Compliance products focusing on AI/ML integration and optimized source code development.
Implement and automate techno-functional testing and quality assurance processes for product features as per functional specifications.
Mentor and coach technical team members, collaborate with architects and application teams to ensure secure and efficient solution delivery across all delivery phases.
4-8 years of technical source code development experience including design leadership and hands-on development.
Experience in Risk Domain (Enterprise Risk, Operational Risk, etc.) or Financial Risk, or Banking/Capital Markets/Wealth-Asset management exposure.
Proficiency in Python backend development (Django or FastAPI), API creation, microservices, data integration, AI engineering with frameworks relevant to Vector DBs, RAG models, LLM/SLM, Agentic AI.
Bachelor’s degree in Computer Science, Engineering, IT, or related field; Cloud deployment experience (Azure preferred); knowledge of CI/CD and version control (Git).
Technical leader comfortable balancing design leadership with hands-on development and mentoring in multidisciplinary teams.
Experience working in regulated financial services or risk domains integrating AI/ML capabilities into enterprise applications.
Capable of driving product quality through automated testing and ensuring secure, scalable cloud-based deployment solutions.