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Mô Tả Công Việc
Design and develop scalable data pipelines for ingesting, transforming, and storing large, diverse data sources.
Collaborate with AI/ML engineers to prepare and manage datasets for model training, fine-tuning, and deployment.
Architect and optimize data infrastructure across distributed environments (AWS, GCP, or Azure).
Implement robust data governance, lineage, and monitoring frameworks to ensure high data quality and reliability.
Partner with backend engineers to integrate data systems with the AI Assistant core platform.
Enforce data security, compliance, and performance best practices across the data lifecycle.
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Yêu Cầu Công Việc
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
5+ years of experience in data engineering or big data systems.
Proficiency in Python or Java for data processing and automation.
Hands-on experience with distributed data frameworks (Spark, Kafka, Airflow, or similar).
Strong understanding of data modeling, ETL pipelines, and both SQL and NoSQL databases.
Experience with cloud-based data services (AWS Glue, BigQuery, Azure Data Factory, etc.).
Familiarity with MLOps, data versioning, or model deployment pipelines is a strong plus.
Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
Experience working with AI or NLP systems.
Familiarity with vector databases, embeddings, and LLM fine-tuning workflows.
Knowledge of containerization and orchestration tools (Docker, Kubernetes).
Ability to work cross-functionally in Agile or fast-paced R&D environments.
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Hình thức
Full-time
Mức lương
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