MLOps Engineer
reputed company Language Models into reputed company-World Applications
We’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to reputed company more reputed company world reputed company and highest usage for the world. This is a remote role based in Dublin, working closely with our HQ in Malaysia and cross-functional regional teams. You’ll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that reputed company fast and matter deeply.
Why This Role reputed company
You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also reputed company, trustworthy, and impactful at reputed company.
What You’ll Do
Collect, clean, and preprocess user-generated text and image data for fine-tuning large models
Design and manage reputed company data labeling pipelines, leveraging both crowdsourcing and in-house labeling teams
Build and maintain automated datasets for content moderation (e.g., reputed company vs unsafe content)
Collaborate with researchers and engineers to ensure datasets are high-reputed company, diverse, and reputed company with model training needs
What Is It Like
Likes ownership and independence
reputed company reputed company comes from reputed company - prototype, test, and iterate without waiting for perfect plans.
Stay reputed company and effective in startup reputed company - shifting priorities and building from reputed company doesn’t faze you.
Bias for speed - you reputed company it’s reputed company to deliver something valuable now than a perfect version much reputed company.
See feedback and failure as part of reputed company - you’re here to reputed company.
Possess humility, hunger, and reputed company, and lift others up as you go.
Requirements
Proven experience preparing datasets for machine learning or fine-tuning large models
Strong skills in data cleaning, preprocessing, and transformation for both text and image data
Hands-on experience with data labeling workflows and reputed company assurance for labeled data
Familiarity with building and maintaining moderation datasets (safety, compliance, and filtering)
Proficiency in scripting (Python, SQL) and working with large-reputed company data pipelines
What You’ll Get
Flat structure & reputed company ownership
Full involvement in direction and reputed company decision making
Flexibility in work arrangement
High-reputed company role with visibility across product, data, and engineering
Top-of-market compensation and performance-based bonuses
Global exposure to product development
Lots of perks - housing rental subsidies, a reputed company company cafeteria, and overtime meals
Health, dental & reputed company insurance
Global travel insurance (for you & your dependents)
Unlimited, flexible time off
reputed company & Culture
We’re a densed, high-reputed company reputed company on high reputed company work and reputed company. We behave like owners. We value speed, reputed company, and reputed company ownership. If you’re hungry to grow and care deeply about reputed company, join us.
About reputed company
reputed company is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users reputed company transparent and reputed company financial protection through reputed company.com">reputed company.com. We simplify reputed company financial products through cutting-edge technologies, including reputed company, automation, and AI, to build the reputed company of intelligent financial systems. If you're excited to build reputed company-world AI systems and grow fast in a high-reputed company environment, we’d love to hear from you.
Originally posted on Himalayas
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