AI/ML Ops and Software Engineering Intern

CGG Land (U.S.) Inc.

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Singapore, Singapore Until 9/11/2026 H-1B sponsor history First posted June 5, 2026 Last posted July 13, 2026
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

Qualifications:

Required:

  • 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:

  • 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

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.

We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

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.

About this role

Summary

Assist in developing software, machine learning models, and system optimization tasks.

Job title

AI/ML Ops and Software Engineering Intern

Experience level

entry level

Industry

technology

Location requirements

Singapore, remote work not specified

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

pythondockerdata structuressoftware fundamentalsbackend concepts

Preferred skills

kubernetescloud platformsmachine learning frameworksperformance optimizationci/cd

Specializations

pythondockerbackend developmentmachine learningsystem optimization
Locations

Structured locations inferred from the posting.

Singapore

Work arrangement unknown City