I will deploy your ml model using docker kubernetes and mlflow

P
pranto_7726
P
pranto_7726
PrantoML
deploy your ml model using docker kubernetes and mlflow
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deploy your ml model using docker kubernetes and mlflow

About this gig

Looking for a production-ready MLOps pipeline for your machine learning project?

I build scalable, automated, and reproducible MLOps solutions that streamline the complete machine learning lifecyclefrom data processing and model training to deployment and monitoring.

What I can help you with

End-to-end MLOps pipeline development

MLflow experiment tracking and model registry

Docker containerization

Kubernetes deployment

CI/CD automation with GitHub Actions

AWS deployment (EC2, ECR, S3)

Flask or FastAPI model serving

Model versioning and reproducible workflows

Why choose me?

Machine Learning Engineering Intern at FlyRank AI

Hands-on experience with production-ready ML systems

Clean, maintainable, and well-documented code

Reliable communication and on-time delivery

Please contact me before placing an order so I can understand your project and recommend the best solution.

  • Model expertise

    • Custom model development

  • Industry

    • Data analytics
    • Transportation & automotive
    • Travel & tourism

  • Programming language

    • Python

  • Language

    • Bengali
    • English
    • Hindi

  • Technical expertise

    • Machine learning (Supervised, Unsupervised, Reinforcement)
    • Deep learning (Neural networks, GANs)
    • Natural language processing (NLP)
    • Reinforcement learning (Decision-making systems)
    • Algorithm development and optimization
    • Feature engineering and data processing

Get to know PrantoML

PrantoML

Machine Learning Engineer

  • FromBangladesh
  • Member sinceSep 2023
  • Avg. response time1 hour

  • Languages

    Bengali, English, Hindi
Looking for a reliable Machine Learning Engineer to build or deploy your AI solution? I'm a Machine Learning Engineering Intern at FlyRank AI with experience developing backend APIs, production-ready ML systems, and cloud deployments. I help startups, businesses, and researchers build scalable Python solutions using Flask, Docker, AWS, and modern MLOps practices. My goal is to deliver clean, reliable, and well-documented solutions that are ready for production.

My Portfolio

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