Founding AI Engineer (Remote)

ASPEN - Bjak Sdn Bhd; Daerah Khusus Ibukota Jakarta; Remote; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading digital insurance platform is seeking a Founding AI Engineer to work remotely from Indonesia. You will design and build AI systems that impact millions, collaborating with a dynamic team. Ideal candidates have strong machine learning experience and are proficient in Python. The role offers competitive salary, remote flexibility, and mentorship opportunities.

Benefits

Competitive salary

Performance-based bonuses

Fully remote work setup

Fast career growth

Qualifications

• 3-6 years of experience in AI/ML engineering with real-world deployment experience.
• Solid understanding of machine learning workflows, from data preprocessing to model evaluation.
• Experience working on applied AI use cases (e.g., recommendation systems, fraud detection).

Responsibilities

• Build and ship production-grade machine learning models.
• Collaborate across engineering and product teams to drive AI initiatives.
• Support the full ML lifecycle from data preprocessing to monitoring.

Skills

Python

Machine Learning

Problem-solving

Collaboration

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

TensorFlow

PyTorch

MLflow

Docker

Job description

Working Arrangement: Indonesia (Remote - work from anywhere in Indonesia)

Help Build AI That Powers the Future of Financial Access in Southeast Asia

At BJAK , we're leveraging AI to tackle meaningful challenges - from fraud detection and risk modeling to delivering hyper-personalized financial services that make insurance more accessible to everyone.

We're looking for a talented Founding AI Engineer based in Indonesia to join our growing AI team. In this role, you'll work closely with our Head of AI and a team of skilled engineers to design and build next-generation intelligent systems that serve millions of users across the region.

Why This Role Matters

• You'll contribute directly to AI systems that have real-world impact on millions of users.
• You'll work alongside a fast-moving team solving complex engineering and product challenges.
• You'll gain hands-on experience building and deploying machine learning models in production.
• You'll be part of a mission-driven company using AI to democratize access to financial services.

What You'll Do

• Build and ship production-grade machine learning models for high-impact use cases
• Contribute to model architecture, data pipeline design, and deployment strategies
• Collaborate across engineering, data, and product teams to drive AI initiatives
• Support the full ML lifecycle - from data preprocessing and model training to monitoring in production
• Write clean, scalable, and well-documented code
• Stay up to date with the latest developments in AI/ML, and contribute ideas to improve our systems and workflows
• Participate in code reviews and technical discussions with peers

You'll Thrive Here If You...

• Enjoy solving real-world problems using practical AI solutions
• Like working hands-on with code and delivering models that go into production
• Value collaboration and learning from others across different functions
• Take ownership of your work and follow through with high-quality delivery
• Adapt quickly in a fast-paced, remote-first environment
• Want to be part of a team where your work directly contributes to regional impact

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 3-6 years of experience in AI/ML engineering with real-world deployment experience
• Proficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning workflows, from data preprocessing to model evaluation
• Experience working on applied AI use cases (e.g., recommendation systems, fraud detection, risk scoring, NLP, etc.)
• Strong problem-solving skills and attention to detail
• Comfortable working remotely and collaborating with regional teams
• Based in Indonesia with Remote working set up

Nice to Have

• Experience with MLOps tools like MLflow, Airflow, Docker, or cloud platforms (e.g., GCP, AWS)
• Familiarity with responsible AI practices (fairness, interpretability, model governance)
• Experience working in a startup or scale-up environment
• Interest in building reusable ML components or internal tools

What You'll Get

• Competitive salary and performance-based bonuses
• Fully remote and flexible work setup from anywhere in Indonesia
• Opportunity to work on AI projects that make a regional impact
• Direct mentorship from experienced AI leaders
• Fast career growth in a dynamic, high-speed environment
• Open, collaborative team culture that values great ideas and execution

About BJAK

BJAK is Southeast Asia's largest digital insurance platform, serving millions of users with transparent and affordable financial products. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we're building AI-driven systems that make complex financial services simple, fast, and fair.

Join us in shaping the future of financial access in Asia - with technology that moves fast and solves real needs.

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