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Viridien

Geoscience solutions for natural resources

Senior Machine Learning Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeSingaporeHybrid

About the Job

Requirements

  • A Master’s or Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or another related technical discipline is required.
  • Strong programming skills in one or more of C, C++, R, Java, or Python are required.
  • Advanced understanding of large language model and vision-language model architecture, post-training methods such as fine-tuning and reinforcement learning, and evaluation pipelines is required.
  • Experience in data and systems engineering for large-scale model workflows is required.
  • Experience with deep learning frameworks and libraries such as TensorFlow or PyTorch is required.
  • Fluency with at least one of Cursor, Windsurf, Trae, Gemini CLI, Claude Code, Codex, or a similar tool is required.
  • Experience applying, fine-tuning, optimizing, and deploying large language models to industrial-scale real-world use cases is a plus.
  • Strong enterprise project experience with machine learning and artificial intelligence is required.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects is required.
  • Effective communication skills to keep stakeholders regularly informed of progress are required.
  • Enthusiasm for analytical and problem-solving challenges, and flexibility to adapt to new challenges or changes in direction, are expected.

Responsibilities

  • Deploy and fine-tune large language models for domain-specific tasks.
  • Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.
  • Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.
  • Collaborate with data scientists to build and own data pipelines for ingestion, transformation, versioning, and labeling.
  • Ensure robust, reproducible data loops to support iterative development.
  • Orchestrate multiple models to deliver state-of-the-art results.
  • Partner with production teams and software engineers to bring artificial intelligence solutions into real-world products.
  • Architect and orchestrate multi-model agentic workflows, including function calling, tool usage, retrieval-augmented generation, and code interpreters, and integrate them into production systems.
  • Provide technical leadership and mentorship to junior engineers, fostering continuous learning and innovation.

About the Company

Viridien

Geoscience solutions for natural resources

Viridien offers geoscience solutions for complex natural resource, environmental, and infrastructure challenges. Its work centers on interpreting and integrating geological and geophysical data to understand subsurface conditions and hazards. By combining data collection, imaging, and modeling, Viridien helps clients make informed decisions about exploration, resource development, environmental management, and infrastructure planning. The company differentiates itself through a broad spectrum of geoscience services across resources, environment, and infrastructure, enabling a single partner to tackle multi-domain problems. The goal is to provide accurate subsurface insights that reduce risk, optimize project outcomes, and support sustainable development.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Massy, France
Founded
1931

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