Cloud Solutions Architect – SIL & ML Deployment (AWS)

Deploying large-scale SIL (Software-in-the-Loop) & ML experiments on AWS is a challenging problem. it requires a highly skilled Architect who can provide technical direction to the team and drive successful experiment deployment.

Key Responsibilities :

Collaborate within Incubation Team’s software framework.

Generate autonomy requirements and design experiments for SIL & ML.

Build software systems to deploy, manage, and monitor experiments.

Launch SIL & ML / AI experiments to support engineering decision-making.

Develop and maintain reusable ML pipelines to test various techniques and strategies.

Define and implement AWS experiment deployment strategies and related software solutions.

Create and maintain a knowledge base of experiment results, presented through dashboards.

Partner with the A Data Pipeline, Perception, and Planning Teams to gather and refine requirements.

Required Skills & Experience :

Strong background in cloud development, particularly AWS.

Proven experience architecting and deploying large-scale ML / AI and SIL systems.

Expertise in designing and building reusable ML pipelines.

Experience with data visualization and dashboard creation.

Ability to work with cross-functional engineering teams.

Excellent problem-solving and communication skills.

Preferred :

Experience in autonomy systems or autonomous vehicle testing frameworks.