Machine Learning Engineer / AI Engineer

Traveloka; Jakarta Pusat; On-site; IDR 360,000,000 - 600,000,000; Full time

Job summary

Traveloka is seeking an ML Engineering lead to turn data science models into reliable, production-grade systems. You will collaborate with Data Scientists and business stakeholders to understand needs and deploy scalable ML model serving infrastructure or internal tooling.

Join a team shaping data-driven decisions across Traveloka's platform. A strong Python background, familiarity with cloud tech (GCP) and Docker, and ability to translate requirements into technical specs are essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3–5 years of experience in ML Engineering, Backend Engineering, or Applied AI Engineering.
• Strong ability to translate business/operational needs into technical specifications.
• Experience in building internal tools, bots, or workflow automation (e.g. integrating with ticketing systems, internal APIs, chat interfaces).
• Experience in deploying and serving ML models in production (API frameworks, monitoring, scaling).
• Familiar with data pipeline design and orchestration.
• Strong Python; proficient in SQL/BigQuery for data access and analysis.
• Experience with cloud-based tech stacks and Docker (GCP preferred).
• Proactive, self-motivated, comfortable owning systems independently.
• Exceptional communication skills, including explaining technical tradeoffs to non-technical stakeholders.
• Comfortable working alongside AI tools (eg. Claude Code) to accelerate model development and analysis.

Responsibilities

• Collaborate with Data Science and business stakeholders to understand needs.
• Translate requirements into well-architected, maintainable systems.
• Build, deploy, and maintain production systems (internal automation and tooling or ML model serving infra).
• Ensure systems you own are reliable, monitored, and scoped to business needs.
• Manage projects from design through to production, working independently on ambiguous problems.

Skills

ML Engineering

Backend Engineering

Applied AI Engineering

Python

Communication skills

Independent ownership

Education

Bachelor's in CS/Engineering

Tools

Docker

Cloud (GCP)

SQL/BigQuery

API frameworks

Airflow

Job description

n Job Description Job ID: MJ000278

About The Role

Traveloka's ML Engineering team turns data science models and internal ideas into reliable, production-grade systems — spanning internal automation and tooling as well as ML model deployment. You'll collaborate with Data Scientists and business stakeholders to understand needs and build systems that meet them, with your specific focus shaped by your background and the team's priorities at the time.

Key Responsibilities

• Collaborate with Data Science and business stakeholders to understand technical and operational needs.
• Translate requirements into well-architected, maintainable systems.
• Build, deploy, and maintain production systems (e.g. internal automation and tooling, or ML model serving infrastructure, depending on focus).
• Ensure systems you own are reliable, monitored, and scoped to business needs.
• Manage projects from design through to production, working independently on ambiguous or loosely-defined problems.

Qualifications

• Bachelor's in Computer Science, Engineering, or related field.
• 3–5 years of experience in ML Engineering, Backend Engineering, or Applied AI Engineering.
• Strong ability to translate business/operational needs into technical specifications.
• Experience in building internal tools, bots, or workflow automation (e.g. integrating with ticketing systems, internal APIs, chat interfaces)
• Experience in deploying and serving ML models in production (API frameworks, monitoring, scaling)
• Familiar with data pipeline design and orchestration
• Strong Python; proficient in SQL/BigQuery for data access and analysis.
• Experience with cloud-based tech stacks and Docker (GCP preferred).
• Proactive, self-motivated, comfortable owning systems independently.
• Exceptional communication skills, including explaining technical tradeoffs to non-technical stakeholders.
• Comfortable working alongside AI tools (eg. Claude Code) to accelerate model development and analysis.

Good to Have

• Experience productionizing LLM or embedding-based systems.
• Familiarity with MLOps tooling (MLflow, Airflow).
• Experience with A/B testing or experimentation platforms.
• Travel, Hospitality, or OTA experience.