Data Operations Analyst (AI Data & Safety)

Join ByteDance as a Data Operations Analyst (AI Data & Safety) and play a pivotal role in shaping the future of AI-driven products. In this exciting role, you'll be part of our AI Data and Safety team, working on foundational models and AI-native solutions across multiple modalities. Based in Canggu, Ubud, or Denpasar, you'll have the opportunity to work in a dynamic environment that values innovation and collaboration.

As a Data Operations Analyst, you'll be responsible for ensuring the smooth operation of our data infrastructure. You'll work closely with our data engineers, scientists, and product teams to design, implement, and optimize data pipelines. This role offers a unique chance to contribute to cutting-edge AI projects and make a tangible impact on our products.

If you're passionate about data and AI, and you're ready to take on the challenge of working with large-scale data systems, then this is the perfect opportunity for you. Join us in Canggu, Ubud, or Denpasar, and be part of a team that's shaping the future of AI.

📋 Tanggung Jawab Pekerjaan

• Design, implement, and maintain data pipelines for AI training and inference.
• Ensure data quality and integrity through data validation and monitoring.
• Optimize data storage and processing to improve efficiency and reduce costs.
• Collaborate with data engineers to design and implement scalable data infrastructure.
• Monitor and troubleshoot data issues, ensuring the smooth operation of our data systems.
• Work with product teams to understand data requirements and provide actionable insights.
• Stay up-to-date with the latest advancements in data and AI technologies.
• Contribute to the development of best practices and standards for data operations.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, or related field.
• 3-5 years of experience in data operations, data engineering, or a related field.
• Strong knowledge of data pipelines, ETL processes, and data warehousing.
• Proficiency in SQL and at least one scripting language (Python, Bash, etc.).
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Familiarity with cloud platforms (AWS, GCP, Azure) and data storage services.
• Understanding of AI/ML concepts and data requirements for AI training.
• Excellent problem-solving skills and attention to detail.

🛠️ Keahlian

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