MINIMUM QUALIFICATIONS:

* Master's degree in a quantitative discipline such as Statistics, Engineering,
Sciences, or equivalent practical experience.

* 3 years of experience using analytics to solve product or business problems,
coding (e.g., Python, R, SQL), querying databases or statistical analysis, or
a relevant PhD degree.

PREFERRED QUALIFICATIONS:

* Experience working in a financial, audit, or highly regulated domain where
deterministic accuracy and auditability are paramount.
* Experience in full-stack development for end-to-end machine learning
solutions.
* Experience building Agentic tools and systems (production-ready, not POCs).
* Experience in classical ML modeling (e.g., time-series forecasting,
tree-based models) alongside up-to-date Large Language Model (LLM)/Generative AI
tooling.
* Expertise in developing and deploying AI/ML models and utilizing modern
observability/monitoring tools to track performance, latency, and model
drift.
* Excellent communication and storytelling skills, with a proven ability to




translate complex technical architectures and probabilistic model behaviors
to executive finance leadership.

ABOUT THE JOB:

Google's leadership team hand-picks thorny business challenges, and members of
BizOps work in small teams to find solutions. As part of this team you fully
immerse yourself in data collection, draw insight from analysis, and then zoom
out to develop compelling, synthesized recommendations. Taking strategy one step
further, you also persuasively communicate your recommendations to senior-level
executives, roll-up your sleeves to help drive implementation and check back-in
to see the impact of your recommendations.

As an Applied AI and ML Engineer in Finance Data and Analytics (DnA) team, you
will lead the technical strategy, design, and deployment of end-to-end AI/ML and
agentic solutions to transform legacy finance processes into AI-native
workflows. You will operate at the intersection of advanced machine learning and
produ

📌 Applied AI/ML Engineer (Bengaluru)
🏢 Google
📍 Bengaluru