Description

You will own the deployment and operational lifecycle of machine learning models in production environments.

Responsibilities

• Deploy and manage model servers and training jobs within production infrastructure.
• Implement model monitoring and analysis to ensure performance stability.
• Execute fine-tuning processes for NLP and other model architectures.
• Maintain data security and security protocols across deployment architectures.
• Collaborate with stakeholders to integrate machine learning workflows.

Required Skills

• 5+ years of professional experience in machine learning operations or related roles.
• Proficiency in Python.
• Hands-on experience with PyTorch.
• Experience using DataScienceTools for model experimentation and analysis.
• Knowledge of fine-tuning techniques for large-scale models.
• Experience with TensorFlow and HuggingFace frameworks.
• Competency in Linux environments.
• Familiarity with relational and non-relational databases.
• Understanding of deployment architectures and model monitoring.

Key Skills

Education

Any Gradutate