Professional
Telecommunications
In-House Framework for Machine Learning Deployment
Software Developer
1 year 2 months
Part of a core team that designed and developed an in-house Python framework to streamline and standardize the deployment of machine learning models across environments.
Key Responsibilities
- Collaborated with data scientists to identify requirements and pain points in the deployment workflow.
- Designed a reusable, modular Python framework to manage end-to-end ML model deployment, reducing deployment-related issues by over 50%.
- Integrated logging and monitoring capabilities within the framework to support production operations and maintenance.
- Conducted workshops and technical training sessions to onboard internal teams on using the framework.
Technology Stack
Python
TensorFlow
Scikit-learn
Pandas
SQLAlchemy
unittest
Docker
Dockerfiles
SQL
PL/SQL
HiveQL
CI/CD Pipelines
Azure DevOps
GitLab
Tags
#professional
#ml
#devops