Description

You will design and implement AI/ML solutions on AWS to meet business and platform objectives. You will define scalable, secure, and resilient cloud architectures using containerized environments.

This role is on-site.

Responsibilities

• Design and implement AI/ML-based solutions on AWS.
• Define scalable, secure, and resilient cloud architectures using containerized and orchestrated environments.
• Build and deploy solutions leveraging AWS ML services, Docker, and Kubernetes.
• Collaborate with DevOps teams to enable CI/CD pipelines and automated deployments.
• Establish architecture standards, best practices, and guardrails while mentoring engineering teams.

Required Skills

• 12+ years of experience in software engineering or architecture.
• Deep expertise in AWS cloud services and AI/ML platforms.
• Proficiency in Docker and Kubernetes for containerization and orchestration.
• Strong understanding of Machine Learning concepts and implementation.
• Experience building scalable, high-availability cloud architectures.
• Ability to translate business requirements into technical solution designs.
• Experience with CI/CD pipeline implementation and automated deployments.

Preferred Skills

• Experience providing technical guidance and mentorship to engineering teams.
• Knowledge of troubleshooting platform and deployment issues.

Key Skills

Education

Any Gradute