Turn newly trained research models into functional playgrounds, APIs and proofs-of-concept so they can be rapidly validated, demonstrated and handed to the production engineering team.
What you will do
- Translate model weights and checkpoints into interactive prototypes
- build backend inference endpoints and schemas
- handle text/audio/video inputs and streaming responses
- stress-test model behavior
- document limits
- package functional repositories
- hand over API contracts and function blocks to production engineering
- maintain high-velocity sync with the Dubai R&D; pod.
What you must bring
- 1–5 years in ML prototyping or Python application engineering
- advanced Python including async/await
- Gradio
- Streamlit
- FastAPI
- Flask
- Pydantic
- PyTorch
What will differentiate you
- Execution-focused
- fast
- experimental
- technically rigorous
- comfortable with crude prototypes
- able to work across research and engineering boundaries.
Key deliverables
- Speed from model output to working prototype
- functional robustness across edge cases
- quality of API contracts
- clean handover to production
- sprint communication and documentation quality.
Why Crucifer Crucifer AI is building an AI-first learning and technology ecosystem from the ground up. You will work in a high-ownership workplace where ideas are expected to become working outcomes quickly, with direct access to senior leadership and the opportunity to shape systems before they become fixed.
📌 ML Prototype & Application Engineer – Research Pipelines (Kolkata Metropolitan Area)
🏢 CRUCIFER AI TECHNOLOGIES
📍 Kolkata Metropolitan Area
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