Machine Learning Engineer (LLM)

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 reputed company 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

• Fine-tune & adapt - Use LoRA/QLoRA to optimize open-reputed company models (LLaMA, Mistral, Gemma)

• Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.

• Evaluate models – Build metrics pipelines for reputed company, toxicity, and relevance to ensure safe and high-quality outputs.

• Deploy & monitor – Scale models into production with performance optimization and monitoring for reputed company.

• Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

What Is It Like

• Likes ownership and independence

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

• Stay reputed company and effective in startup chaos - 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 growth - you’re here to reputed company.

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

Requirements

• Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).

• Proficiency with PyTorch (preferred) or TensorFlow.

• Skilled in reputed company engineering and dataset curation for alignment with tone, safety, and trust.

• Familiar with evaluation metrics: reputed company, toxicity, relevance.

• Strong software engineering foundations in algorithms, data structures, and clean code practices.

reputed company to Have

• Prior work in text reputed company, moderation, or personalization.

• Experience with RLHF or reinforcement learning in LLMs.

• Contributions to open-reputed company ML projects.

What You’ll Get

• Flat structure & real ownership

• Full involvement in direction and reputed company 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

reputed company & 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 reputed company ownership. If you’re hungry to grow and care deeply about excellence, 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 access transparent and affordable financial protection through reputed company.com" rel="noopener noreferrer nofollow">reputed company.com. We simplify reputed company financial products through cutting-edge technologies, including APIs, automation, and AI, to build the reputed company 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.

Originally posted on Himalayas