
Job Description
Ovii's Interpretation of the Role
Senior Applied Scientist driving AI/ML innovation at OnePay, building production‑ready models, AI agents, recommendation and search systems that boost customer experience and business growth.
Role Snapshot
- Design and launch ML, deep learning, and LLM models
- Create AI agents for workflow automation
- Build personalization and recommendation engines
- Optimize search and retrieval pipelines
- Partner with product, engineering, and analytics teams
Must-Have Requirements
- Machine Learning model development
- Deep Learning
- Large Language Model engineering
- AI agent creation
- Recommendation system design
- Search & retrieval system optimization
- Productionizing ML models
- building production ML/AI models
- AI agent development
- recommendation system implementation
- search technology deployment
- Computer Science degree
- Data Science degree
- Applied Mathematics degree
Work Setup
- Location: Bangalore, India
- Work mode: HYBRID
- Employment type: Full-Time
Not Specified in JD
- Salary range
- Visa sponsorship
- Travel requirement
- Security clearance
- Coding test
- Portfolio
- GitHub
- Cover letter
What You'll Likely Work On
- Design, train, and deploy ML/DL/LLM models that directly impact user experience and revenue
- Develop intelligent AI agents that reason, plan, and act across business workflows
- Create dynamic recommendation and personalization solutions for multiple product lines
- Engineer high‑performance search and retrieval systems to improve discoverability
- Work closely with product, engineering, and analytics stakeholders to move AI concepts from prototype to production
Good Fit If You Have
- Thrives in a fast‑moving, high‑urgency environment
- Proactive builder who takes ownership of end‑to‑end delivery
- Strong communicator with product and engineering partners
- Demonstrated measurable business impact from ML projects
Skills
- Machine Learning model development
- Deep Learning
- Large Language Model (LLM) engineering
- AI agent creation
- Recommendation system design
- Search & retrieval system optimization
- Productionizing ML models
- Cross‑functional collaboration