Ml Engineer

Role & responsibilities

• Develop and implement machine learning models
• Optimize model performance and deployment
• Collaborate with data scientists and engineers
• Design and implement data pipelines
• Monitor and maintain ML systems
• Research and implement new ML techniques
• Document technical specifications and model architectures

Preferred candidate profile

• 5+ year experience in Machine Learning and deployment of ML models
• Master's in Computer Science, Machine Learning, or related field
• Strong technical skills in ML model development and optimization, with a focus on practical implementation.
• Must-have: strong expertise in Python and ML frameworks, experience with TensorFlow, PyTorch and with data preprocessing and feature engineering.
• Knowledge of model optimization techniques and ML monitoring and maintenance. Understanding of ML deployment practices.
• Nice to have: experience with deep learning, distributed computing; knowledge of MLOps practices.