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Machine Learning Engineer (Product)

Traveloka

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3-5 Years
7 months ago
133 Viewed
0 Applied

Job Description

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

Our machine learning team is responsible for solving complex problems and optimizing various aspects of Traveloka's business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across various domains. Join us in revolutionizing the travel industry through data!

Key Responsibilities:

  • Work with Data Scientists/Data Engineers/Software Engineers in building robust ML solutions at scale.

  • Design, build, and maintain high performing systems built on top of our inhouse machine learning platforms and tools.

  • Oversee and manage multiple ML system projects across domains (Recommendation, LLMs, Optimization, to name some), ensuring they meet the business objectives and are delivered on time.

Requirements

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Master's degree or higher preferred.

  • Minimum of 3 years experience in Machine learning engineering or a related role.

  • Experience with Cloud-based tech stack and Docker/Kubernetes deployment. GCP will be preferred.

  • Excellent ability to translate business requirements into technical specifications.

  • Strong expertise in Python and experience with deploying ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).

  • Proven experience in deploying and maintaining multiple Machine Learning systems.

  • Exceptional interpersonal and communication skills

  • Proactive, self-motivated, and able to work independently.

Good to Have

  • Experience in deploying deep learning frameworks like PyTorch or TensorFlow.

  • Experience with ML Lifecycle tools (eg. mlflow).

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Traveloka is an Indonesian unicorn company that provides online airline ticketing and hotel booking services, and it presently has a strong presence in Southeast Asia and Australia

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