Applied AI/ML Engineer
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Artificial Intelligence
In short
Google is looking for an Applied AI/ML Engineer to lead the technical strategy, design, and deployment of AI/ML and agentic solutions for transforming finance processes. This role involves building and scaling AI agents, partnering with stakeholders, and ensuring the reliability and performance of AI/ML models.
Responsibilities
- Lead the technical design of multi-agent workflows using ML and Gemini LLMs to solve complex financial problems.
- Build, prototype, and scale end-to-end AI agents, prioritizing reliability, usability, and auditability with clear human-in-the-loop interfaces.
- Take prototypes from isolated testing to scaled production systems, designing and deploying high-availability model endpoints.
- Implement evaluation frameworks and guardrails to eliminate logical errors, hallucinations, and biases in automated financial decision-making.
- Partner with Product Managers, Engineers, and Finance stakeholders to translate ambiguous finance problems into technical specifications.
- Act as a self-sustaining technical leader to unblock system integration hurdles.
Requirements
- Master's degree in a quantitative discipline (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.
- English proficiency is a requirement.
Desired 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 LLM/Generative AI tooling.
- Demonstrated expertise in developing and deploying AI or ML models.
- Utilize modern 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.
Benefits
- Opportunity to work on challenging business problems with a leadership team.
- Ability to influence and drive implementation of recommendations.
- Focus on transforming legacy finance processes into AI-native workflows.
- Build self-sustaining, self-correcting agentic systems.
- Drive unprecedented efficiency across Google's finance organization.
- Equal opportunity and affirmative action employer.
- Commitment to building a workforce that is representative of users.
- Culture of belonging and equal employment opportunity.
#AI#ML#Finance#Agentic Systems#LLM#Generative AI
Company
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Master, Bachelor
Applicants
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