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I will build and deploy an automated machine learning pipeline with mlops on AWS

Parte de la información aparece en idioma inglés.

Bangladesh

Hablo Bengalí, Inglés, Hindi
👋 I am a Python and machine learning developer with hands-on experience building neural networks and deploying data-driven solutions. 🚀 I have completed projects involving image classification, tim...
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Gig Description:

"Are you struggling to move your Machine Learning models from a Jupyter Notebook to a live production environment? I will build a professional MLOps pipeline for you.

As an MLOps specialist, I bridge the gap between Data Science and Engineering. I don't just provide a script; I provide a scalable system that updates automatically.

What I offer:

  • Model Deployment: FastAPI/Flask apps deployed on AWS EC2 or Lambda.
  • Containerization: Dockerizing your ML app for consistent performance.
  • Automation: Full CI/CD pipelines using GitHub Actions or AWS CodePipeline.
  • Cloud Infrastructure: Setting up S3 for model artifacts and ECR for image storage.
  • Database Integration: Connecting MongoDB for logging and real-time tracking.

Why choose me? I specialize in the 'production' side of AI, ensuring your model is reliable, fast, and easy to maintain."


Experiencia:

Clasificación

Desarrollo de sitio web

Lenguaje de programación:

Python

SQL

MLflow

Marcos:

Scikit-learn

Panda

API:

Amazon Rekognition

Herramientas:

Jupyter Notebook

MLflow