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I will containerize your ml model using docker and deploy on kubernetes
M. Umar Sohail
About this gig
Do you want to make your machine learning model production-ready and scalable? I will help you containerize your ML model with Docker and deploy it on Kubernetes for seamless integration, scaling, and management.
With my expertise in MLOps, cloud, and containerization, I will:
- Containerize your ML model using Docker
- Create Dockerfiles and best practices for reproducibility
- Deploy your containerized model on Kubernetes (local or cloud cluster)
- Set up pods, services, and scaling rules
- Provide documentation for deployment and usage
You will receive:
- A fully containerized ML model
- Kubernetes deployment files (YAML/Helm charts if required)
- Clear instructions on how to run and manage your model in production
This service ensures your AI/ML model is not only deployed but also scalable, reliable, and cloud-ready.
Get to know M. Umar Sohail
M. Umar Sohail
MLOps Engineer for ML Deployment, LLM, Multi Agent and Cloud Solutions
- FromPakistan
- Member sinceAug 2021
- Avg. response time1 hour
- Last delivery1 year
Languages
Urdu, English
👋 Hi, I'm Umar — an MLOps Engineer who turns ML models into production-ready systems. I help businesses deploy & scale ML using Docker, Kubernetes, FastAPI, and cloud platforms (AWS/GCP/Azure).
✅ ML models (TensorFlow, PyTorch, LLaMA) → production APIs
✅ Docker/Kubernetes deployment & cloud MLOps pipelines
✅ LLM integration: chatbots, RAG, AI agents & multi-agent systems
✅ Custom AI skills, plugins & tool integrations
✅ End-to-end AI deployment & automation
✔️ 5.0-star rated | 1-hour response time
✔️ Clear communication, fast & reliable delivery
Got a model that needs deploying? Let's talk
