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Viridien

Senior Machine Learning Engineer

Company logo
Viridien
Viridien delivers specialized consultancy and project services across various infrastructure sectors.
Develop, fine-tune, and deploy LLMs; build data pipelines and AI workflows.
10d ago
Intermediate (4-7 years), Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
Singapore, Singapore
Office Full-Time
Company Size
250 Employees
Service Specialisms
Construction services
Project Management
Consulting
Engineering
Property Development
Design
Technical Services
Turnkey
Sector Specialisms
Energy
Oil
Gas
Geothermal
Renewable
HPC (High Performance Computing)
Marine Logistics
Environmental
Role
What you would be doing
technical leadership
llm development
data pipelines
evaluation infrastructure
model benchmarking
production integration
  • Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and innovation.
  • Lead the development, fine tuning and deployment of LLMs models for domain-specific tasks.
  • Oversee the design and implementation of robust data pipelines for ingestion.
  • Ensure robust, reproducible data loops to power iterative development.
  • Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.
  • Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labeling.
  • Partner with Production team, Software Engineers to bring AI solutions into real-world products.
  • Orchestrate multiple models to deliver SOTA results.
What you bring
data engineering
machine learning
phd
python
tensorflow
cursor
  • Experience within Data Engineering/Data Structuring
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines
  • Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)
  • Passion and aptitude for programming and technology
  • AI Workflow Design & Orchestration
  • Good experience with Large Language Model technologies
  • Enthusiasm for analytical and problem-solving challenges
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • LLM/NLP Model Development
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • At least 4 years of relevant working experience
  • Strong enterprise project experience with Machine Learning and AI
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.
Benefits
  • Competitive Compensation Package
  • Flexible Hybrid Work Model
  • Fun Employee Engagement & Sustainable Activities
  • Onsite Wellness & Recreation Corner
  • Comprehensive Personal and Family Healthcare
Training + Development
Information not given or found
Company
Overview
Founded in 2010
Year Established
The year the company was established, marking the beginning of its journey as a leading consultancy.
  • Specializes in delivering large-scale infrastructure projects with a focus on sustainable solutions.
  • Extensive experience across sectors including energy, transport, water resources, and buildings.
  • Strong track record in complex projects like urban regeneration and transport infrastructure.
  • Standout ability to integrate technology and data-driven insights into projects.
  • Works with diverse clients such as government bodies, private sector entities, and utilities.
Culture + Values
  • We Are Problem Solvers
  • We Are Open
  • We Are Responsible
  • We Are Driven To Go Beyond Expectations
Environment + Sustainability
Energy Efficiency
Operational Performance
Achieved Power Usage Effectiveness (PUE) of 1.33 and Water Usage Effectiveness (WUE) of 1.2 across main hubs in 2024.
1.078 ktCO2e
Carbon Footprint Scope 3
Significant portion of the company's carbon footprint来自Scope 3 emissions in 2024.
72% Renewables
Energy Consumption Source
Percentage of total energy consumption sourced from renewable sources in 2024.
  • Internal ESG policy signed by CEO in 2024 identifying key ESG elements: environment, climate, communities
  • Target:碳中和 by 2050 in scopes 1 & 2 of the GHG Protocol
  • Intermediate goal: halve 2019 levels of scope 1 & 2 GHG emissions by 2030
  • Won EcoVadis Bronze (late 2024) and Silver (2023); MSCI AA rating; CDP-aligned reporting; UN Global Compact support
Inclusion & Diversity
  • IDEA Talks and local ID&E workshops held worldwide
  • Employee resource groups leading local actions on inclusion
  • Unconscious-bias training for managers plus monitoring via engagement surveys
  • Policies on equitable hiring, promotions, rewards tied to measurable inclusion efforts
  • International Women’s Day and International Day for Elimination of Racial Discrimination observed globally
  • Leadership accountability: managers actively listen, champion inclusion and embed equity in hiring/promotions
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