Senior Data Engineer

5 hours ago


Tangerang, Indonesia Traveloka Full time

**Company Description**:
Traveloka is a technology company based in Jakarta, Indonesia. Founded in 2012 by ex-Silicon Valley engineers and aims to revolutionize human mobility with technology. Today Traveloka is expanding its reach by operating in 8 countries and experimenting with new endeavors that will create large impact in the markets and industries we touch.

**Job Descriptions**:
Traveloka is a Southeast Asian internet unicorn focused on travel and mobility. The Data Team comprises a large, diverse team of engineers, analysts, data scientists, machine learning engineers, and product managers. It comprises the Platform, Data Science, Machine Learning and AI, and Analytics groups.

ML Ops team helps to build software engineering culture and practice that aims at unifying ML system development (Dev) and ML system operation (Ops). We build the culture by becoming a partner to people who develop machine learning products; supporting them in operations and best-practices knowledge; and by providing and building complex tools and systems that strongly advocate automation and monitoring at all steps of ML system construction, from integration, testing, releasing to deployment and infrastructure management.

**Responsibilities**:

- Develop tools, frameworks, and automation necessary to ease the development and operation of ML systems
- Provide guidance on developing and operating ML system
- Optimize ML systems performance
- Involvement in requirements gathering with stakeholders
- Understand how the business works and its business processes
- Identify ways to improve the reliability of the system

**Qualifications**:
Must have:

- Strong programming fundamental
- Experience with operating highly scalable system
- Proficient in Python programming language
- Experience with end-to-end machine learning system lifecycle
- Have been involved with solution/architecture design processes
- Knowledge in backend API development
- Knowledge in ML Frameworks such as sklearn, pytorch, tensorflow, etc
- Strong understanding of version control
- Strong communication and collaboration skills with stakeholders and peers in different countries
- Team player and collaborator, having strong initiatives

Nice to have:

- Knowledge in feature engineering lifecycle: building data pipeline, ingestion, etc
- Knowledge in orchestration tools like Airflow, Argo, etc
- Familiar with distributed processing engine
- Preferable to have experience in working with cloud environment
- Strong understanding of CI/CD
- Knowledge in statistics and machine learning model


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