Machine Learning Engineer

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 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 models for domain-specific tasks.

Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.

Data Infrastructure

Collaborate with Data Scientist 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, 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 other related technical disciplines.

Passion and aptitude for programming and technology

Enthusiasm for analytical and problem-solving challenges

Strong enterprise project experience with Machine Learning and AI

Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python

Good experience with Large Language Model technologies

Experience within Data Engineering/Data Structuring

Experience creating Machine Learning Algorithms and/or Libraries.

Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)

Ability to define and manage project deadlines and balance workloads across a wide variety of projects.

Effective communication skills to keep all stakeholders regularly informed on progress.

Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)

Benefits:

13-months Annual Base Salary and performance bonus

Flexible Hybrid Work Model

Comprehensive Personal and Family Healthcare

Onsite Wellness & Recreation Corner

Fun Employee Engagement & Sustainable Activities

Family Leave for employees

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.