Machine Learning Engineer / AI Engineer

Traveloka; Jakarta Pusat; On-site; IDR 200,880,000 - 401,760,000; Full time

Job summary

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.

Traveloka values teamwork and independence, building scalable ML tooling, APIs, and deployment

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 3–5 years in ML/Backend/Applied AI Engineering.
• Translate business needs into technical specs.
• Experience building internal tools or automation.
• Experience deploying ML models in production.
• Familiar with data pipeline design and orchestration.
• Strong Python and SQL/BigQuery skills.
• Experience with cloud stacks and Docker (GCP preferred).
• Excellent communication with stakeholders.

Responsibilities

• Collaborate with Data Science and business stakeholders to understand needs.
• Translate requirements into well-architected, maintainable systems.
• Build, deploy, and maintain production systems (automation, tooling, or ML serving).
• Ensure systems are reliable, monitored, and aligned with business needs.
• Manage projects from design through production in ambiguous settings.

Skills

Python

SQL

BigQuery

Docker

GCP

ML deployment

Education

Bachelor's in Computer Science or related field

Tools

Docker

GCP

SQL/BigQuery

Python

Job description

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.