Back
Tier-1 Citi brand and metro Pune location increase applicant competition despite niche Generative AI specialization.
ML engineering skills are transferable, but Markets/finance context raises background specificity.
Explicit 6-10 years plus mandatory Python and Generative AI experience raises shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and evolve production-grade Generative AI services and applications primarily using Python for Markets Technology.
Lead greenfield AI initiatives from concept through production, contributing to system architecture, engineering standards, and product direction.
Collaborate with engineers, product partners, and business stakeholders to deliver scalable, maintainable AI-driven solutions impacting multiple asset classes and markets.
6-10 years of relevant application development or systems analysis experience.
Strong hands-on software engineering expertise with Python and production-grade system development experience.
Practical experience with Generative AI, LLM applications, or agentic AI systems.
Bachelor's degree or equivalent experience; Master's degree preferred.
Experienced in building scalable AI systems applied in financial markets across asset classes, with a focus on modern AI engineering practices.
Ability to operate in ambiguous environments, take ownership, and influence solution architecture beyond coding tasks.
Strong understanding of software engineering fundamentals including design, testing, code maintainability, and quality standards in fast-paced, innovative teams.