Do you have a trained machine learning model but struggle to deploy, scale, or automate it?
Ill help you bridge the gap between data science and production by implementing a robust MLOps workflow enabling seamless model deployment, monitoring, and automation.
What I Offer
- End-to-end MLOps setup from model training to production deployment
- CI/CD pipeline creation (GitHub Actions, GitLab CI/CD, Jenkins)
- Containerization with Docker & orchestration using Kubernetes
- Model tracking & experiment management with MLflow or DVC
- Automated retraining & drift detection
- Integration with cloud services (AWS SageMaker, Azure ML, GCP Vertex AI)
- Performance monitoring & alerting using Prometheus, Grafana, or similar tools
️ Why Choose Me
- 3+ years of hands-on experience in DevOps & MLOps
- Experience building real-world pipelines for AI-driven applications
- Clean, maintainable infrastructure following best practices
- Detailed documentation & support for smooth hand-off
Packages
- Basic: Containerize model + basic CI/CD setup
- Standard: Complete MLOps pipeline with monitoring
- Premium: Full cloud-integrated enterprise MLOps solution
Il'l ensure your ML models are production ready.