Machine Learning Engineer / AI Engineer

Deskripsi Pekerjaan

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

Must Have

• 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.

Traveloka (traveloka.com) is a tech startup based in Jakarta. We aim to revolutionize Indonesian travel marketplace and make it more accessible to travelers across the country. Since it is a mammoth of a task, we'd love to have talented people from diverse backgrounds who can help us achieve our mission. We are committed to building a dynamic workplace where people truly enjoy their work and feel that they can really have an impact.