AI/ML Ops and Software Engineering Intern

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.

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