Description

You will architect and implement scalable Data & AI platforms on AWS, owning the full lifecycle from model development to deployment and monitoring.

This role is on-site.

Responsibilities

• Architect and implement resilient event-driven and microservices-based systems on AWS.
• Design and manage data pipelines using Airflow for workflow orchestration.
• Develop predictive analytics and deep learning models, including Generative AI solutions.
• Implement MLOps best practices for CI/CD, versioning, and monitoring.
• Mentor cross-functional teams to build internal AI capability and drive adoption.

Required Skills

• 9+ years of experience in relevant engineering roles.
• Strong proficiency in AWS Cloud engineering.
• Hands-on experience with API and Microservices architecture.
• Experience in AI/ML model development and Generative AI.
• Proficiency in implementing MLOps best practices.
• Experience using Airflow for workflow orchestration.
• Knowledge of Containerization (Docker/Kubernetes).

Preferred Skills

• Experience with Snowflake DB.
• Familiarity with Terraform.

Key Skills

Education

Any Graduate