Seeking talents passionate about ACGN culture.
Fully remote position open - Welcome to apply!
Responsibilities:
- Design, develop test ML models, covering Generative Model Language Model areas.
- Handle data processing work fML model training, including data cleaning, data preprocessing feature engineering.
- Manage the model training process: choose appropriate training methods, set parameters, continuously optimize models to achieve the best predictive performance.
- Work with MLOps engineers to realize the productization of ML models, continuously monitevaluate model performance.
Requirements:
- Have a full-time bachelor’s degree higher, in majors like Computer Science Communications; possess solid fundamental knowledge in computer science.
- Be proficient in PyTorch, TensorFlow other ML frameworks.
- Be proficient in Python programming.
- Be familiar with database management SQL; able to use data processing tools (such as Pandas) fdata cleaning preprocessing.
- Be familiar with key technologies processes flarge language models (LLMs) multimodal large models, such as model fine-tuning alignment.
- Be familiar with large model application development platforms tools like LangChain Dify.
- Have strong logical/probabilistic thinking skills; good at analyzing, summarizing, describing, communicating solving problems.
- Have a strong sense of responsibility team spirit; good at communication collaboration.
更新于 2026-03-24
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Amazon Global Selling has been helping individuals businesses increase sales reach new customers around the globe. Today, more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible frecruiting local businesses to sell on Amazon’s 19+ overseas marketplaces supporting local Sellers’ success growth on the Amazon. Our vision is to be the first choice fall types of Chinese business to go globally.
The Amazon Global Selling Analytics, Intelligence, Technology (AGS-AIT) team serves as the research, automation, insight arm of the International Seller Service data hub, enabling rapid delivery of growth insights through strategic investments in regional data foundations, self-service business intelligence solutions, artificial intelligence tools.
The AGS-AIT team is positioned to establish AI-ready foundational capabilities across the AGSganization while maintaining excellence in business insight generation, self-service BI/AI application development.
AGS-AIT is looking fa Data Engineer to collaborate with cross-functional teams to design develop data infrastructure analytics capabilities fAGS AI Automation initiatives.
Key job responsibilities
? Design implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, storage, supporting both real-time offline analytics needs.
? Develop automated data monitoring tools interactive dashboards to enhance business teams’ insights core metrics (e.g., user behavior, AI model performance).
? Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), build a unified data layer.
? Establish data standardization governance policies to ensure consistency, accuracy, compliance.
? Provide structured data inputs fAI model training inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows.
Basic qualifications
1+ years of data engineering experience
Experience with data modeling, warehousing building ETL pipelines
Experience with one more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one more scripting language (e.g., Python, KornShell)
Preferred qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles permissions
更新于 2026-01-26
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