Machine Learning Engineer / AI Engineer

PT Trinusa Travelindo; Kebayoran Baru; On-site; IDR 300,000,000 - 700,000,000; Full time

Job summary

Traveloka in Jakarta is seeking an ML/Backend Engineer to design, build, and deploy production systems, collaborating with data science and business teams to translate needs into robust solutions.

Candidates have 3–5 years in ML/Backend or Applied AI, strong Python and SQL/BigQuery skills, experience with cloud stacks and Docker, and a proactive, communicative mindset.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3–5 years of experience in ML/Backend or Applied AI engineering.
• Ability to translate business needs into technical specs.
• Experience building internal tools, bots, or workflow automation.
• Experience deploying ML models in production and serving APIs.
• Familiar with data pipeline design and orchestration.
• Strong Python; SQL/BigQuery for data access.
• Experience with cloud stacks and Docker (GCP preferred).
• Self-motivated with strong communication; able to explain tradeoffs.
• Comfortable working with AI tools to accelerate model development.

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.

Skills

ML Engineering

Backend Engineering

Applied AI Engineering

Python

SQL/BigQuery

Data pipeline design

Cloud technologies

APIs

Communication skills

AI tools familiarity

Education

Bachelor's in Computer Science/Engineering

Tools

Docker

GCP

BigQuery

APIs

CI/CD tooling

Job description

Deskripsi Pekerjaan

• 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.

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.

Unlock job insights

Hirer responsiveness Salary match Number of applicants

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.

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.

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