GO
Full time
🤖 AI / ML
Applied AI/ML Engineer at Google
Listed by DevShelfHub
India
Hybrid
Mid-level · 4–8 yrs
About the Role
Google's Finance Data and AI (DnA) team is hiring an Applied AI/ML Engineer to lead technical strategy for end-to-end AI/ML and agentic solutions that transform legacy finance processes into AI-native workflows.
This role operates at the intersection of advanced machine learning and product-driven transformation within Google's BizOps organization.
What you'll do
- Lead technical design of multi-agent workflows using ML and Gemini LLMs for financial problems
- Build, prototype, and scale end-to-end AI agents with human-in-the-loop interfaces
- Take prototypes from testing to scaled production systems
- Design high-availability model endpoints with health checks, error handling, retries, fallbacks
- Implement evaluation frameworks and guardrails for automated financial decision-making
- Partner with PMs, Engineers, and Finance stakeholders to translate ambiguous problems into specs
- Act as technical leader helping unblock system integration with Engineering teams
- Apply observability and monitoring for performance, latency, and model drift
What we're looking for
- Master's degree in Statistics, Engineering, Sciences, or equivalent practical experience
- 4+ years using analytics to solve product/business problems
- Coding (Python, R, SQL), database querying, statistical analysis
- Preferred Qualifications
Skills & Technologies
Required
Master's degree in Statistics, Engineering, Sciences, or equivalent practical experience
4+ years using analytics to solve product/business problems
Coding (Python, R, SQL), database querying, statistical analysis
Preferred Qualifications
8 years full-stack development for end-to-end ML solutions
Experience building production-ready Agentic tools and systems (not POCs)
Autonomous or semi-autonomous agents with governance, logging, human-in-loop flows
Classical ML modeling (time-series forecasting, tree-based) alongside LLM/GenAI tooling
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build production agentic AI systems that transform finance at Google scale.
- Lead technical design of multi-agent workflows using ML and Gemini LLMs
- Build end-to-end AI agents with reliability, usability, and auditability
- Scale prototypes to production with health checks, retries, and fallbacks
- Implement evaluation frameworks and guardrails against hallucinations and bias
- Partner with Product Managers, Engineers, and Finance stakeholders
- Work on classical ML (time-series, tree-based) alongside GenAI tooling
- Production-ready agentic systems with governance and human-in-the-loop flows
- Modern observability for performance, latency, and model drift tracking
- Self-sustaining technical leadership unblocking system integration
- Impact across Google's finance organization
About Google
Google's BizOps team hand-picks thorny business challenges and works in small teams to find solutions—immersing in data collection, drawing insights, and developing compelling recommendations for senior executives. The Finance Data and AI team transforms finance operations through AI-native workflows and agentic systems.
- Industry
- Technology
- Company Size
- 500+
- Website
- google.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 4–8 years
- Location
- India
- Work Mode
- Hybrid
- Category
- AI / ML
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