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Open nowPosted 215 days ago

AI data engineer

Workable (global search)108,016 open roles

Where
Singapore
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Your applicationOpen nowAI data engineerWorkable (global search) · Singapore
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 215 days ago

Workable (global search) median: 7 days open

The posting

About the company: Hytech is a leading technology firm specializing in innovative solutions that harness the power of artificial intelligence and data analytics. With a commitment to driving digital transformation, Hytech empowers businesses across various industries to optimize their operations and achieve sustainable growth. Our team of experts is dedicated to delivering cutting-edge technology and exceptional service to our clients worldwide.

Job responsibilities: - Design, develop, and maintain scalable data pipelines and systems for AI applications. - Collaborate with data scientists and software engineers to integrate AI models into production environments. - Implement data collection, cleansing, and preprocessing techniques to ensure data quality and integrity. - Optimize data storage and retrieval processes to enhance system performance and efficiency. - Monitor and troubleshoot data pipeline issues to ensure seamless data flow and system reliability. - Stay updated with the latest industry trends and technologies in AI and data engineering. - Contribute to the development of best practices and standards for data engineering processes.

Job requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience as a Data Engineer or in a similar role, with a focus on AI applications. - Strong programming skills in languages such as Python, Java, or Scala. - Experience with big data technologies like Hadoop, Spark, or Kafka. - Proficiency in SQL and experience with relational and NoSQL databases. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills.

Job benefits: - Competitive salary and performance-based bonuses. - Comprehensive health, dental, and vision insurance plans. - Flexible working hours and remote work options. - Opportunities for professional development and career advancement. - Generous paid time off and holiday schedule. - Access to cutting-edge technology and tools. - Collaborative and inclusive work environment.

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