MINIMUM QUALIFICATIONS:

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

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

PREFERRED QUALIFICATIONS:

* 8 years of experience in full-stack development for end-to-end machine
learning solutions.
* Experience building Agentic tools and systems (production-ready, not POCs).
* Experience building autonomous or semi-autonomous agents with governance,
logging, and human-in-loop flows.
* Experience in classical ML modeling (e.g., time-series forecasting,
tree-based models) alongside modern Large Language Model (LLM)/Generative AI
tooling.
* Demonstrated expertise in developing and deploying AI or ML models and
utilizing contemporary observability/monitoring tools to track performance,
latency, and model drift.
* Excellent communication and storytelling skills, with an 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/ML Engineer, in Finance Data and AI (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 product-driven
transformation. You will bu

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