Description

You will design, develop, and deploy production-ready AI/ML applications and scalable MLOps pipelines.

This role is remote.

Responsibilities

• Build and maintain scalable Machine Learning Operations (MLOps) pipelines for model training and deployment.
• Design and optimize deep learning and generative AI models for specific business use cases.
• Perform data preprocessing, feature engineering, and model performance optimization.
• Deploy, monitor, and maintain AI/ML models in cloud or on-premise environments.
• Maintain code quality and version control practices using Git.

Required Skills

• 4-9 years of experience in AI/ML Engineering and MLOps.
• Strong hands-on experience with MLOps practices and deployment pipelines.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Proficiency in deep learning frameworks: TensorFlow and PyTorch.
• Experience with data preprocessing and feature engineering.
• Understanding of neural networks, chatbots, and image processing.
• Version control with Git.

Preferred Skills

• Hands-on experience with Generative AI models and AI application development.

Key Skills

Education

Any Graduate