Job Title: Associate MLOps Engineer

Department: Engineering
Location: On-Site — H-12, NSTP, Islamabad

About ImagineArt

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.

Job Summary

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.

Key Responsibilities

• 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

Skills & Requirements

• 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

Nice to Have

• Experience with model versioning and ML lifecycle tools

• Exposure to any cloud platform (AWS, GCP, Azure)

• Understanding of performance profiling and benchmarking tools

Company Culture

• 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