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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

AI Engineer - Data Platform (Aeolus)

ByteDance
Singapore
Estimasi Gaji
SGD 90.000 – SGD 150.000
Live Update
10 Mei 2026
Batas Akhir
10 Mei 2027

Deskripsi Pekerjaan

Join ByteDance's pioneering Aeolus Data Platform team, a mission-critical in-house analytics platform trusted by over 130,000 employees worldwide. As an AI Engineer, you'll architect and implement cutting-edge machine learning solutions that transform raw data into actionable business intelligence. This role offers the opportunity to work at the intersection of AI innovation and large-scale data systems, directly impacting how global teams make data-driven decisions. You'll collaborate with cross-functional experts to develop scalable AI models, optimize data pipelines, and enhance platform capabilities that serve ByteDance's diverse workforce. If you're passionate about solving complex data challenges and deploying AI solutions at scale, this is your chance to shape the future of enterprise analytics.

Tanggung Jawab

  • Design and implement machine learning models for data analysis and prediction
  • Develop and maintain scalable data pipelines for real-time and batch processing
  • Optimize AI algorithms for performance and accuracy on large datasets
  • Collaborate with data engineers to integrate AI solutions into the Aeolus platform
  • Conduct A/B testing and experiment tracking for model improvements
  • Document technical specifications and create API documentation
  • Stay current with emerging AI technologies and industry best practices

Kualifikasi

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3+ years of experience in AI/ML engineering or data platform development
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
  • Strong knowledge of SQL and database optimization techniques
  • Familiarity with distributed computing frameworks (Spark, Hadoop)
  • Proven ability to translate business requirements into technical solutions

Keahlian yang Dibutuhkan

AI Engineering Machine Learning Data Engineering Python TensorFlow PyTorch Spark AWS GCP Azure SQL Docker Kubernetes

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