AI/ML Ops and Software Engineering Intern

Viridien; Singapore; On-site; SGD 16,740 - 25,668; Full time

Job summary

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

The role emphasizes hands-on learning across systems, data structures, and development across teams, with opportunities to explore cloud platforms, CI/CD, and performance optimization in real-world projects.

Qualifications

• Bachelor of Degree Computer Science, Computer Software Engineering, Applied Computational Science, Engineering
• Strong proficiency in Python (this is the primary language used)
• Hands-on experience with Docker (building 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

Responsibilities

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

Skills

Python

Docker

Kubernetes

APIs & databases

ML frameworks

CI/CD

Cloud platforms

Algorithms & data structures

Education

Bachelor in Computer Science/Engineering/Applied Computational Science

Tools

Docker

Kubernetes

PyTorch/TensorFlow/Scikit-learn

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Job Summary

We’re 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. You’ll work on real-world systems and contribute across multiple domains, rather than being confined to a single specialization.

Key Responsibilities

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

Required Qualifications

• Bachelor of Degree Computer Science, Computer Software Engineering, Applied Computational Science, Engineering
• Strong proficiency in Python (this is the primary language used)
• Hands-on experience with Docker (building 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 Qualifications

• Strong problem-solving skills and attention to detail
• 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

EEO Statement

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.