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BJAK

Technical Lead, Machine Learning

BJAK

Technical Lead overseeing ML system execution for a proactive AI chat application focused on scalability and reliability. Collaborating across research, infrastructure, and product to deliver high-quality ML solutions.

Posted 4/11/2026full-timeRemote • 🇸🇬 SingaporeSeniorWebsite

About the role

Key responsibilities & impact
  • Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
  • Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
  • Architect and operate scalable inference systems, balancing latency, cost, and reliability.
  • Design and maintain data systems for high-quality synthetic and real-world training data.
  • Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
  • Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
  • Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
  • Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
  • Work under real production constraints: latency, cost, reliability, and safety

Requirements

What you’ll need
  • You have built or shipped real ML systems used by people, not just demos.
  • You are comfortable working with large models and understanding their failure modes.
  • You write strong, production-grade code and care about system correctness.
  • You are self-directed, pragmatic, and take full ownership of outcomes.
  • You communicate clearly and collaborate well in small, high-trust teams.

Benefits

Comp & perks
  • Flexible working arrangements
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata pipelinestraining workflowsevaluation systemsinference architecturemodel fine-tuningGPU optimizationmemory efficiencylatency reductionproduction-grade code
Soft Skills
self-directedpragmaticownershipclear communicationcollaborationteamworkadaptabilityproblem-solvingcritical thinkingtrust-building