Description

You will build and optimize scalable data infrastructure for multimodal image, video, and sensor data.

This role is hybrid.

Responsibilities

• Develop scalable data pipelines to process multimodal data across cloud platforms and local clusters.
• Design data models and database structures to support application needs, analytics, and efficient querying.
• Implement ML model deployment workflows for data curation and annotation using multimodal architectures.
• Build full-stack components and backend services that integrate with data processing and machine learning systems.
• Optimize large-scale data processing pipelines for reliability, performance, and maintainability.

Required Skills

• 6+ years of software development experience with Python and SQL.
• 5+ years of experience in cloud-based data processing pipeline development.
• 3+ years of experience in multimodal machine learning development.
• Expertise in building efficient multimodal data pipelines for large-scale processing on cloud platforms and clusters.
• Strong capability in deploying multimodal ML models for data curation, annotation, and advanced feature learning.
• Proven experience in data modeling and designing scalable pipelines.
• Bachelor's or Master's degree in Computer Science or a related software engineering field.

Key Skills

Education

Any Graduate