- Serangoon North-east Region (Singapore) Singapore

工作地点
职位描述
岗位职责
Viridien (*************) 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 Senior 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
Key Skills & Experience
Qualifications
Desired Job Skillsets
Key Competencies
Why Work with us?
At Viridien, we provide the needs of our employees; and we know every employee has unique personal goals, family circumstances, and preferences. That is why we offer a wide array of benefits to promote and enhance your total well-being:
Singapore
Create a brighter future for yourself
Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit your specific needs, to aid personal growth in areas related to both technical and personal skills. This is facilitated through an extensive suite of Viridien developed courses.
Viridien ( ************* ) 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.
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