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ML Ops Engineer (Remote)

Transform Language Models into Real-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 enable more real world impact and highest usage for the world.

This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.

Why This Role Matters

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 safe, trustworthy, and impactful at scale.

What You’ll Do

  • Run and manage open-source models efficiently, optimizing for cost and reliability

  • Ensure high performance and stability across GPU, CPU, and memory resources

  • Monitor and troubleshoot model inference to maintain low latency and high throughput

  • Collaborate with engineers to implement scalable and reliable model serving solutions

What Is It Like

  • Likes ownership and independence

  • Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.

  • Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.

  • Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.

  • See feedback and failure as part of growth - you’re here to level up.

  • Possess humility, hunger, and hustle, and lift others up as you go.

Requirements

  • Experience with model serving platforms such as vLLM or HuggingFace TGI

  • Proficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabs

  • Ability to monitor latency, costs, and scale systems efficiently with traffic demands

  • Experience setting up inference endpoints for backend engineers

What You’ll Get

  • Flat structure & real ownership

  • Full involvement in direction and consensus decision making

  • Flexibility in work arrangement

  • High-impact 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 quality company cafeteria, and overtime meals

  • Health, dental & vision insurance

  • Global travel insurance (for you & your dependents)

  • Unlimited, flexible time off

Our Team & Culture

We’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.

About Bjak

BJAK 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 access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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Average salary estimate

$180000 / YEARLY (est.)
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$140000K
$220000K

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Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the i...

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Full-time, hybrid
DATE POSTED
September 29, 2025
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