Description

Design and manage infrastructure for large-scale machine learning workflows and production deployments.

Responsibilities

• Design and develop ML infrastructure, including data ingestion, storage, and management systems.
• Deploy and maintain automated ML workflows and model serving infrastructure.
• Collaborate with data scientists to move models into production and monitor their performance.
• Implement data validation, cleaning, and security measures to ensure data integrity.
• Develop monitoring and logging systems to identify and resolve issues with deployed models.

Required Skills

• 10+ years of experience in machine learning or related engineering roles.
• Degree in any field (Any Graduate).
• Proficiency with TensorFlow or PyTorch.
• Experience with model deployment and serving.
• Strong background in data management and ingestion systems.
• Ability to implement version control for ML models and datasets.
• Experience implementing optimization techniques for production models.

Key Skills

Education

Any Graduate