Overview
Viridien ( is an advanced technology, digital and Earth data company that push es 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 seeking a versatile Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems.
You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.
About The Team
You’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions.
Our mission is to translate the latest advancements in AI into real business impact.
Key Responsibilities
- LLM/NLP Model Development: Deploy and fine-tune LLMs for domain-specific tasks.
Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.
- Data Infrastructure: Collaborate with Data Scientists to build and own data pipelines for ingestion, transformation, versioning, and labeling.
Ensure robust, reproducible data loops to power iterative development.
- AI Workflow Design & Orchestration: Orchestrate multiple models to deliver SOTA results.
Partner with Production team and Software Engineers to bring AI solutions into real-world products.
Qualifications
Required:
- Degree, Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or related technical disciplines.
- Passion and aptitude for programming and technology
- Analytical and problem-solving skills
- Strong enterprise project experience with Machine Learning and AI
- Strong programming skills in C/C++, R, Java, Python
- Experience with Large Language Model technologies
- Experience in Data Engineering/data structuring
- Experience creating ML algorithms and/or libraries
- Proven experience with deep learning frameworks (TensorFlow/PyTorch)
- Ability to manage project deadlines across multiple projects
- Effective communication skills for stakeholders
- Willingness to learn and adapt to new challenges
- Fluency with tools such as Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)
Benefits
- 13-month base salary and performance bonus
- Flexible hybrid work model
- Comprehensive personal and family healthcare
- Onsite wellness & recreation facilities
- Employee engagement and sustainable activities
- Family leave for employees
Our Hiring Process
We are committed to a respectful, inclusive, and transparent recruitment experience.
Due to high volume, we may not provide individual feedback to every applicant.
We aim to share personalized feedback with those who progress to the first round and beyond.
If you require reasonable adjustments to participate in the application or interview, please contact your recruiter directly.
We value diversity and are committed to equal employment opportunities for all professionals.
Job Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Technology, Information and Internet
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