SDE - ML Pipeline

Job highlights

• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users

• . Strong proficiency in programming languages such as Python and experience with Pytorch

• Design and develop scalable and efficient machine learning models using Pytorch and other deep learning frameworks.

• Collaborate with cross-functional teams to integrate machine learning models into larger systems.

• Develop and maintain large-scale data pipelines for training and deploying machine learning models.

• Optimize model performance through hyperparameter tuning and experimentation.

• Ensure high-quality data processing and feature engineering for machine learning models.

• Implement automated testing and deployment scripts for machine learning models.

Job Requirements

• Strong proficiency in programming languages such as Python and experience with Pytorch.
• Experience with computer vision techniques and deep learning architectures.
• Knowledge of cloud platforms such as AWS or Azure for deploying machine learning models.
• Strong understanding of software development principles and version control systems like Git.
• Excellent problem-solving skills and ability to work in a team environment.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before