Lead AI Engineer at Bjak

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Machine Learning, Python, ML Frameworks, Data Pipelines, Feature Engineering, Model Deployment, Mentorship, Collaboration, Communication, Experimentation, Model Development, Production AI, MLOps, Responsible AI, Startup Experience

Industry

Software Development

Description

Shape AI That Powers the Future of Financial Access Across Southeast Asia At BJAK, we’re using AI to solve real, high-impact problems — from fraud detection and risk modeling to smart, personalized user experiences that make insurance and financial services more inclusive and accessible. As a Lead AI Engineer, you’ll play a critical role in building and scaling intelligent systems that serve millions across the region. This is a remote role based in Singapore, where you will collaborate closely with our headquarters in Malaysia and regional product, data, and engineering teams. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring. Why This Role Matters You’ll build and deploy core AI systems that impact real users across Southeast Asia You’ll act as the right hand to the Head of AI — influencing roadmap, execution, and technical standards You’ll help shape and grow a world-class AI team through mentorship and hiring You’ll raise the bar on technical quality, delivery speed, and scalable architecture What You’ll Do Design, train, and deploy production-grade ML models for business-critical use cases Collaborate closely with product, data, and engineering teams to define and execute AI solutions Lead technical decision-making on model design, deployment pipelines, and infrastructure Own the full model lifecycle — from data prep and training to evaluation, monitoring, and retraining Guide junior AI engineers through code reviews, project planning, and mentorship Drive the hiring process: screen candidates, evaluate technical fit, and onboard top talent Champion best practices in experimentation, model development, and production AI Stay ahead of the curve — evaluate new tools, frameworks, and advancements in AI You’ll Thrive Here If You... Are both a builder and a leader — you roll up your sleeves and raise the bar for others Care deeply about real-world impact — you think beyond accuracy to user outcomes Take ownership and bring structure to ambiguity with action, not over-analysis Enjoy developing others — helping junior teammates grow is part of your success Thrive in a high-speed, high-trust startup culture where priorities shift and execution matters Embrace learning, feedback, and iteration as a core part of your engineering process Communicate clearly — you can align cross-functional teams on complex AI systems Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 4–6 years of experience in AI/ML engineering, with models deployed in production Strong Python skills is a MUST and deep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) Solid understanding of ML lifecycles — from data pipelines and feature engineering to tuning, deployment, and monitoring Real-world experience building AI systems in domains like recommendation, NLP, or risk modeling Experience mentoring junior engineers and collaborating cross-functionally Strong written and verbal communication skills Must be a Singaporean citizen or Permanent Resident (PR) Must be willing to relocate to Malaysia or work remotely from Singapore Nice to Have Familiarity with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS) Experience in responsible AI practices — fairness, explainability, and transparency Startup background or experience in fast-moving product teams Built internal AI tools, reusable components, or ML platforms What You’ll Get Competitive salary and performance-based bonuses Hybrid flexibility — mix of remote work and in-office collaboration at HQ High ownership and direct impact — report to Head of AI and drive mission-critical projects Clear path for fast career growth as the company expands across ASEAN Opportunity to shape and lead a growing AI team Regional product exposure and cross-border collaboration About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access transparent, affordable financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems — making them accessible, faster, and fairer. If you’re ready to build, lead, and scale AI systems that truly matter — and want to grow with a company that moves fast and thinks big — we’d love to hear from you.

Responsibilities

As a Lead AI Engineer, you will design, train, and deploy production-grade ML models for business-critical use cases while collaborating with product, data, and engineering teams. You will also guide junior engineers and drive the hiring process to build a high-performance AI team.