Senior Data Engineer - AI Pipelines & Cloud

Bosch; Hong Kong; In loco; HKD 450.000 - 650.000; Tempo pieno

Vantaggi offerti da questo lavoro

Performance bonus

15 days annual leave

Life and accident insurance

Medical and dental coverage

Staff purchase privileges

5-day work week

Descrizione del lavoro

Bosch is seeking a Data Engineer in Hong Kong to build robust data pipelines, prep data for ML models, and collaborate with data scientists on large-scale AI initiatives. You will design data architectures, ensure data quality, and optimize workflows across cloud environments to support fast model training and inference.

Ideal candidates hold a CS/Data Eng degree with hands-on experience in Spark/Hadoop, Kafka, and ML tools, plus strong problem-solving and communication skills for

Competenze

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• Proven experience as a Data Engineer with ML/big data focus.
• Strong programming skills in Python or Java.
• Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming (e.g., Kafka).
• Familiarity with NLP techniques and tools (tokenization, embeddings, vectorization).
• Solid understanding of relational and NoSQL databases (MySQL, MongoDB).
• Experience with cloud services (AWS, GCP, Azure).
• Knowledge of data warehousing and data lake architectures.
• Familiarity with ML pipelines and AI tools (TensorFlow, PyTorch).
• Strong problem-solving and collaboration skills.

Mansioni

• Build and maintain robust data pipelines to integrate data collection, preprocessing, embedding, and retrieval processes.
• Collaborate with AI researchers and data scientists to deliver high-quality datasets for model training and evaluation.
• Build and maintain data architectures.
• Ensure data is pre-processed, cleaned, and transformed for ML models.
• Optimize data workflows to improve performance and reduce latency in AI model training and inference.
• Develop and maintain automated ETL processes to support data availability and consistency.
• Work with cloud platforms (AWS, GCP, Azure) to manage and scale data storage and processing systems.
• Ensure data governance, security, and compliance with data privacy regulations.
• Continuously monitor and improve the performance of data pipelines to meet evolving needs of AI projects.

Conoscenze

Python

Java

SQL

Data Modeling

ETL Design

Cloud Awareness

Team Collaboration

Problem Solving

Machine Learning

Formazione

Bachelor's or Master's in CS, Data Eng, or related field

Strumenti

Apache Spark

Hadoop

Kafka

MySQL

MongoDB

TensorFlow

PyTorch

AWS

GCP

Azure

Descrizione del lavoro

Bosch is seeking a Data Engineer in Hong Kong to build robust data pipelines, prep data for ML models, and collaborate with data scientists on large-scale AI initiatives. You will design data architectures, ensure data quality, and optimize workflows across cloud environments to support fast model training and inference.

Ideal candidates hold a CS/Data Eng degree with hands-on experience in Spark/Hadoop, Kafka, and ML tools, plus strong problem-solving and communication skills for