Applied AI and ML Engineer

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Data Engineering

In short

Google is hiring an Applied AI and ML Engineer in Bengaluru, India to lead the technical strategy and deployment of AI/ML and Agentic solutions for transforming financial processes. This role requires a Master's or PhD in a quantitative discipline and experience in building agentic systems, with a focus on creating autonomous, self-correcting systems for finance.

Responsibilities

Contribute to the technical design of multi-agent workflows, utilizing ML and Gemini LLMs to solve complex financial problems.
Build, prototype, and scale end-to-end AI agents, collaborating with senior developers on robust system architectures.
Take prototypes from isolated testing environments to scaled production systems with high-availability model endpoints.
Implement rigorous evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making.

Requirements

Master's degree in a quantitative discipline (e.g., 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 PhD degree in a quantitative discipline.
1 year of experience building agentic systems.

Desired Qualifications

4 years of experience using analytics to solve product problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience working in a financial, audit, or highly regulated domain where deterministic accuracy and auditability are paramount.
Demonstrated expertise in developing and deploying AI or ML models and utilizing modern observability/monitoring tools.
Excellent communication skills, with a proven ability to translate complex technical architectures and probabilistic model behaviors.
Strong command of classical ML modeling (e.g., time-series forecasting, tree-based models) alongside modern LLM/Generative AI tooling.

Skills

PythonRSQLLLMGemini LLMs

#AI#ML#Agentic Systems#Finance

About Google

Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React

At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.

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