About this role
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
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
Tech stack
FastAPIDockerKubernetesPythonFlaskAWS
About ImagineArt
ImagineArt is hiring for the associate mlops engineer role. NewJob aggregates active openings directly from ImagineArt's applicant tracking system, so this listing is current.
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