- Build production AI systems using LLMs, NLP pipelines, and workflow automation tools (n8n, Python, APIs) that directly reduce manual work and accelerate business processes
- Design and deploy ML-driven solutions, sentiment classification, entity extraction, risk scoring—that enable teams to act on insights before problems escalate
- Ship fast and iterate, move from problem identification to working prototype to production deployment in compressed timelines
- Navigate ambiguity, translate vague business pain points into scoped technical solutions with clear success metrics
- Operationalize AI at scale, monitor, debug, and improve live systems while balancing speed with reliability
- Educate and enable, document workflows, create training materials, and lead sessions that help non-technical teams adopt AI tools effectively
- Currently pursuing a degree in Computer Science, Data Science, Engineering, or related field
- Working knowledge of Python and SQL; exposure to APIs and data pipelines
- Familiarity with ML/NLP concepts (classification, NER, embeddings)Bias toward action, you prefer shipping an 80% solution today over a perfect one next month
- Comfort with uncertainty, you can make progress without complete information and adjust as you learn
- Communication skills, you can explain technical concepts to non-technical stakeholders and document your work clearly
- Curiosity and learning orientation, you actively seek feedback and share knowledge with others
Start your journey with us.
Send your application and take the first step toward joining the Ontop family.
