
Job Description
Ovii's Interpretation of the Role
We are seeking a Machine Learning Engineer to design, build, and ship ML models and LLM‑driven features for AI agents that handle real‑time consumer‑finance conversations. You will own end‑to‑end components, from problem definition through production deployment, within a small high‑agency team.
Role Snapshot
- Build and deploy production ML models
- Design ML systems for autonomous AI agents
- Fine‑tune and integrate large language models
- Create evaluation, monitoring, and harness pipelines
- Own feature components from definition to launch
- Collaborate in a small, high‑impact pod
Must-Have Requirements
- Python
- hands‑on experience building ML/AI systems in production
- experience with LLMs (prompt engineering, API integration, pipelines)
- hands‑on engineering
- ML/AI production systems
Nice-to-Have Signals
- bias for action
- entrepreneurial spirit
Work Setup
- Location: Mumbai
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
- Education requirement
- Relocation
- Travel
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Tackle a variety of ML problems including voice, recommendation, infrastructure, and LLM‑driven product features
- Train and fine‑tune LLMs that power AI agents for loan servicing and collections
- Develop evaluation harnesses, monitoring dashboards, and automated testing for model performance
- Own major technical areas end‑to‑end, from problem definition through production rollout
- Debug and resolve real‑time issues that appear in live financial conversations
- Collaborate closely with senior engineers and the ML Lead to ship features quickly
Good Fit If You Have
- Entrepreneurial mindset and bias for action
- Eagerness to learn in a fast‑moving environment
- Comfort with taking ownership of components from day one
Skills
- Python programming
- Large Language Models (LLMs)
- Prompt engineering
- ML model training & production deployment
- Data pipelines for voice, recommendation, and finance data
- Model evaluation & monitoring
- Realtime inference debugging
- AI for consumer finance