- ML Engineer building production-grade pipelines in startups or enterprises.
- Data Scientist developing end-to-end analytical solutions.
- MLOps Engineer managing automated training and deployment workflows.
- AI Consultant implementing scalable ML systems for clients.
- Roles in finance, healthcare, and tech requiring robust ML deployment expertise.
