Department: Engineering
Location: On-Site — H-12, NSTP, Islamabad
We're redefining how the world creates and designs.
ImagineArt is one of the fastest-growing GenAI companies in the world. We've scaled faster than most funded startups — with zero outside funding.
$35M+ ARR crossed this year
100M+ social impressions
Built and shipped our own image generation model, now ranked #3 globally for photo realism
No funding. No shortcuts. Just a sharp, driven team building one of the strongest GenAI products in the world — and we're just getting started.
If you want to build something that truly matters, work with exceptionally smart people, and grow at a pace most companies never experience, ImagineArt is the place.
Support the deployment, scaling, optimization, and monitoring of AI/ML models in production environments. Work closely with data scientists and developers to ensure models run efficiently, reliably, and with fast inference performance.
Develop, maintain, and deploy ML/AI models into production environments
Build and serve model inference APIs using frameworks like FastAPI
Optimize models for better inference performance including quantization and model compression
Package and containerize models using Docker and manage deployments with orchestration tools (e.g., Kubernetes)
Set up CI/CD pipelines and automation workflows for model deployment
Monitor model performance, latency, and reliability in production
Troubleshoot and resolve deployment, infrastructure, or inference issues
Collaborate with ML Engineers, Data Scientists, and DevOps teams to streamline workflows
Proficiency in Python and familiarity with building REST APIs (FastAPI, Flask)
Experience deploying ML models and serving them reliably
Understanding of model optimization techniques such as quantization for faster inference
Knowledge of Docker and container orchestration (e.g., Kubernetes)
Familiarity with CI/CD tools and automation workflows
Ability to monitor and troubleshoot production systems
Experience with model versioning and ML lifecycle tools
Exposure to any cloud platform (AWS, GCP, Azure)
Understanding of performance profiling and benchmarking tools
Impact: Opportunity to work on innovative AI products like ImagineArt, shaping the future of creativity and user interaction
Team: Be part of a passionate, fast-moving team that values innovation and data-driven decisions
Growth: A culture where learning, growth, and experimenting with new ideas are deeply encouraged
imagineart