Description

You will develop, deploy, and optimize machine learning models for various applications using supervised and unsupervised learning algorithms.

This role is remote.

Responsibilities

• Build and refine neural networks and NLP models.
• Implement DevOps and MLOps practices to streamline model deployment.
• Leverage Python, R, and SQL for data processing and model development.
• Deploy models on Microsoft Azure cloud infrastructure.
• Optimize existing models for performance and scalability.

Required Skills

• 5+ years of experience in machine learning engineering.
• Proficiency in supervised and unsupervised learning algorithms.
• Strong command of Python, R, and SQL.
• Experience with TensorFlow, Keras, and PyTorch.
• Familiarity with natural language processing (NLP).
• Hands-on experience with Microsoft Azure.
• Knowledge of DevOps and MLOps workflows.

Preferred Skills

• Experience deploying models at scale in production environments.

Key Skills

Education

Any Graduate