AI/ML Ops and Software Engineering Intern

CGG Services (Singapore) Pte. Ltd.; Singapore; On-site; SGD 20,088 - 26,784; Full time

Job summary

Viridien is seeking a Software Engineering Intern with a strong foundation in Python and broad interest across software engineering. You will work on backend services, APIs, and ML model deployment, while optimizing performance and workflows.

The role involves containerization, cross-team collaboration, and writing clean, well-documented code. A solid foundation in CS and practical Docker/Kubernetes exposure are valued.

Qualifications

• Bachelor's degree in Computer Science, Computer Software Engineering, Applied Computational Science, or Engineering.
• Strong proficiency in Python.
• Hands-on experience with Docker (creating images, writing Dockerfiles, running containers).
• Solid understanding of data structures, algorithms and software fundamentals.
• Familiarity with backend concepts (APIs, databases, services).
• Ability to work across different areas of software.

Responsibilities

• Develop and maintain backend services and APIs using Python.
• Support development and deployment of machine learning models.
• Debug, perform performance tuning, and optimize system performance.
• Containerize applications and improve development/deployment workflows.
• Collaborate on system design and implementation across teams.
• Write clean, efficient, and well-documented code.

Skills

Python

Education

Bachelor’s degree in Computer Science or related

Tools

Docker

Kubernetes

CI/CD pipelines

Cloud platforms (AWS/GCP/Azure)

Job description

Viridien, an advanced technology, digital and Earth data company, is looking for a Software Engineering Intern with a strong foundation in Python and a broad interest across different areas of software engineering. This role is suited for someone who enjoys solving diverse technical problems—from backend development to machine learning and performance optimization.

Key Responsibilities

• Develop and maintain backend services and APIs using Python.
• Support the development and deployment of machine learning models.
• Debug, perform performance tuning, and optimize system performance.
• Containerize applications and improve development/deployment workflows.
• Collaborate on system design and implementation across teams.
• Write clean, efficient, and well‑documented code.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Computer Software Engineering, Applied Computational Science, or Engineering.
• Strong proficiency in Python.
• Hands‑on experience with Docker (creating images, writing Dockerfiles, running containers).
• Good understanding of data structures, algorithms, and software engineering fundamentals.
• Familiarity with backend development concepts (APIs, databases, services).
• Ability to work across different areas of software.
• Strong problem‑solving skills and attention to detail.

Preferred:

• Experience with Kubernetes (K8s).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Exposure to machine learning frameworks (e.g., PyTorch, TensorFlow, scikit‑learn, langgraph, vllm).
• Understanding of system performance, concurrency and optimization techniques.
• Experience with CI/CD pipelines or DevOps practices.