System Engineer / Platform Engineer (AI/ML)

Key Responsibilities

Help automate and manage the day-to-day operations of our AI Platform and Data Lakehouse .

Contribute to platform development, including monitoring, logging, and deployment of AI/data applications (proprietary, open-source, or in-house).

Build and integrate services with internal/external APIs and MCPs .

Evaluate new technologies to improve performance, reliability, and scalability of our infrastructure.

Run proof-of-concepts (PoCs) and support acceptance testing .

Provide clear visibility into the platform’s structure, status, and performance .

Work with Architects, Platform Engineers, Product Owners, AI Engineers, Data Engineers, and business stakeholders to deliver software in a continuous delivery environment.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or related fields.

At least 4 years of experience in platform development .

Must have experience with the following technology stack:

Scripting: Python, Bash, SQL

Infrastructure: Docker, Terraform, Helm, Kubernetes

CI/CD: Jenkins, Git, Ansible

Must have experience delivering an AI platform or data platform in a large-scale enterprise environment.

DataOps/MLOps knowledge is required.

Public cloud experience ( AWS / Azure / AliCloud ) is preferred, and relevant certification is a plus.

Full-time