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Metro role with broad AI/full-stack requirements, recognizable global brand and generic senior AI title raises competition.
Core ML/LLM and full-stack skills are transferable, though financial domain experience is preferred.
Multiple mandatory ML/LLM, cloud, and full-stack skills will enforce strict technical shortlisting.
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Develop and deploy AI-driven applications integrated with large language models to transform investment management workflows.
Engineer scalable technology solutions and automated processes enhancing asset management across distribution, investments, and operations.
Collaborate globally to implement generative AI models and architectures, ensuring production-grade, secure, and compliant delivery.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field with strong computer science fundamentals.
Hands-on software engineering experience, including proficiency in Python and familiarity with full-stack development (React/JavaScript, RESTful APIs).
Experience with generative AI, prompt engineering, fine tuning, retrieval-augmented generation (RAG), vector databases, cloud computing (AWS), containerization, CI/CD, and version control (Git).
Work Experience Required: Not explicitly mentioned in the JD; In-office presence required minimum 3 days/week with some remote flexibility; Shift timing (2:00pm-10:30pm) specified.
Engineering graduate (B.E./B.Tech) or Master's in quantitative disciplines from a well-recognized institute with strong analytical and problem-solving skills.
Demonstrated ability to translate complex business requirements into technical AI solutions in fast-paced, agile, and globally distributed team environments.
Experience or interest in financial services/investment management, with strong cross-functional communication skills suited to technical and non-technical stakeholders.