17 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Contribute to the technical design of multi-agent workflows using ML and Gemini LLMs for complex financial problems.
- Build, prototype, and scale end-to-end AI agents with reliable, usable, auditable architectures and human-in-the-loop interfaces.
- Move AI/ML prototypes from testing environments into scaled production systems.
- Design and deploy highly available model endpoints with health checks, error handling, retries, and fallback mechanisms.
- Implement evaluation frameworks and guardrails to reduce logical errors, hallucinations, and bias in automated financial decision-making.
Requirements
- Master’s degree in a quantitative discipline such as Statistics, Engineering, or Sciences, or equivalent practical experience.
- At least 3 years of experience using analytics, coding, database querying, or statistical analysis, or a PhD in a quantitative discipline.
- At least 1 year of experience building agentic systems.
- Preferred: 4 years of relevant analytics, coding, database, or statistical analysis experience, or a relevant PhD.
- Preferred: experience in financial, audit, or highly regulated domains where deterministic accuracy and auditability are important.
- Preferred: expertise developing and deploying AI or ML models and using observability or monitoring tools for performance, latency, and model drift.
- Preferred: strong command of classical ML modeling, LLM/Generative AI tooling, and communication of technical architectures and probabilistic model behavior.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.