Description

You will design and build large-scale, cloud-based big data and MLOps platforms, APIs, and ML pipelines on AWS.

This role is hybrid.

Responsibilities

• Design and implement complex architectural solutions using AWS design principles.
• Build scalable, cost-efficient ML pipelines and APIs using Python.
• Lead technical design reviews and guide engineering teams on architectural best practices.
• Determine code quality, test coverage, and implement tests for high-quality software.
• Collaborate with product teams to analyze business requirements.

Required Skills

• 10+ years of experience in key engineering roles.
• 5+ years architecting and deploying cloud-native solutions with AWS.
• Hands-on design and development using Python, Flask, Django, and AsyncIO.
• Deep understanding of MLOps platforms and ML pipelines.
• Experience with CI/CD processes and tools.
• Experience integrating with async messaging/logging/queues like Kafka or RabbitMQ.
• Solid understanding of distributed systems, integration, and testing.
• Experience designing and developing APIs and Microservices.

Key Skills

Education

Any Graduate