Machine Learning Engineer at HuntingCube (Client: FinTech PIE Team)
Listed by DevShelfHub
About the Role
HuntingCube is recruiting a Machine Learning Engineer for a FinTech client's PIE Team, focused on building autonomous AI agents in consumer finance. This Mumbai-based role offers ₹40–80 LPA for engineers with 3–5 years of experience in applied AI, LLMs, and production ML systems.
The position emphasizes hands-on engineering across ML models, LLM prompt engineering, API integrations, and real-time production deployment.
What you'll do
- Drive success within Applied AI / LLM initiatives for consumer finance
- Leverage Python, ML models, ML system design, and LLMs in production
- Apply prompt engineering for LLM-powered applications
- Build API integrations connecting AI systems with enterprise platforms
- Develop voice, data, and recommendation capabilities
- Implement real-time monitoring and production deployment infrastructure
- Optimize operational throughput through AI-driven solutions
- Contribute to technical sprints aligned with organizational deliverables
- Design scalable ML systems for FinTech use cases
What we're looking for
- Python programming proficiency
- ML models and ML system design experience
- LLMs and prompt engineering hands-on experience
- API integrations for AI/ML systems
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build autonomous AI agents in consumer finance with competitive compensation.
- Work on Applied AI and LLM-powered autonomous agents in FinTech
- Competitive salary range: ₹40–80 LPA
- Mumbai-based engineering role with domain focus on consumer finance
- Hands-on work across ML models, LLM prompt engineering, and API integrations
- Production deployment and real-time monitoring experience
- Voice, data, recommendations, and infrastructure components
- Full-time engineering role in high-growth Applied AI domain
- Opportunity to optimize operational throughput through AI
- Align engineering execution with organization deliverables
- FinTech domain with real-world AI agent applications
About HuntingCube (Client: FinTech PIE Team)
- Industry
- Technology
- Company Size
- 500+
Skip the queue
Contact the recruiter directly at HuntingCube (Client: FinTech PIE Team) and follow up personally — most applicants never do.
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 3–5 years
- Location
- Mumbai, India
- Work Mode
- Hybrid
- Category
- AI / ML
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