Data Analyst Engineer
6 days
2,100+ Data Technician Jobs in Malaysia | Job Vacancies | November 2026 | Ricebowl - Page 37
Showing 2,107 jobs results for
"data technician"
- Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution.
8 days
Data AI Engineer
- Build data pipelines for extraction, transformation, embedding generation, and vector storage.
9 days
Software Engineer (Data Discovery and Operations)
- Participate in code and design reviews to enhance code quality and software architecture
9 days
Director - Data Science
- Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
9 days
Engineering Lead – Data, Search - AI
- Hands-on Technical Leadership: Stay technically involved and step in when needed to write code, debug issues, review architecture and resolve complex engineering problems.
9 days
Data - AI Engineer
- Build AI-powered full-stack solutions across software, data, AI, integration and user experience
9 days
10 days
Microsoft Fabric Data Lake Developer
10 days
IT Manager ( Data , AI Development )
- Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
10 days
Data Migration Engineer
- Knowledge of audio file formats, codecs, and call recording data migration.
11 days
Data - AI Engineer
- Join Tectura and be part of a global team helping businesses transform through innovative technology solutions.
11 days
Director - Data Science
- Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
11 days
- Ensure data quality, reliability, and performance.
11 days
Senior Data Services - AI Engineer
- Support production systems, including monitoring, troubleshooting, and incident resolution.
11 days
Senior Data Services - AI Engineer
11 days
Senior Data Services - AI Engineer
- Support production systems, including monitoring, troubleshooting, and incident resolution.
11 days
Senior Engineer - Engineer (CIM Oracle Database)
- Perform backup and recovery using RMAN, including database cloning (e.g. duplicate database).
11 days
- Define source-to-target mappings, schemas and handling rules that Data Engineering can implement in ETL/ELT pipelines, and work closely with them to ensure the build matches the design.
12 days
- Data Quality & Reliability – Implement data validation, monitoring, and quality controls to ensure accurate and consistent data
12 days
- AI & Machine Learning Support – Assist in developing, testing, and deploying predictive models and AI solutions
12 days
- The ideal candidate combines strong Data Engineering fundamentals with the ability to work closely with business stakeholders, develop reporting solutions, and contribute across multiple data-related initiatives. Exposure to Data Science and AI use cases is considered an advantage.
12 days
- Participate in Proof of Concept (POC) initiatives and support the transition of successful solutions into production.
12 days
Senior Data Science Engineer
- We are seeking a highly skilled Data Scientist with expertise in data analytics, insight generation, and optimization for manufacturing data. The ideal candidate will leverage AI/ML, optimization algorithms, and various advanced analytics techniques to drive operational efficiency and process improvements.
12 days
Databricks Engineer
- Experience orchestrating data pipelines with ADF, Airflow, or similar tools
12 days
IT Manager ( Data , AI Development )
- Knowledge in Project Management, Project Tenders, IT budget for IT infrastructure and Vendor Management
12 days
Databricks Engineer
- Write and optimize complex SQL queries for data transformation, processing, and analysis.
13 days
Engineering Lead – Data, Search - AI
- Hands-on Technical Leadership: Stay technically involved and step in when needed to write code, debug issues, review architecture and resolve complex engineering problems.
13 days
- Cross-Domain Data Processing:
15 days
- Treat the AI-ready data and harness layer as the foundational multiplier for AIDA returns, explicitly designing for build-once, deploy-many reuse across models, agents, channels and BUs.
15 days