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AI Data Operations Manager
ABBYY
posted 1hr ago
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Key skills for the job
Job Description
- Develop and implement AI data operations strategy and quality standards
- Design and implement comprehensive data quality monitoring systems
- Establish data validation workflows and acceptance criteria
- Create efficient processes for data acquisition, labeling, and validation
- Guide development of data operation automation tools
- Drive technical decisions for data infrastructure needs
- Oversee data labeling operations and vendor technical relationships
- Implement and maintain robust data quality assurance processes
- Develop tools and scripts for data operations automation
- Create monitoring dashboards and quality metrics systems
- Manage dataset versions and release processes
- Drive continuous improvement in data quality and efficiency
- Implement systems for tracking data inventory and usage
- Establish and monitor SLAs for data operations
- Design and optimize data pipeline efficiency
- Drive cost optimization for data operations
- Create automated quality control processes
- Establish metrics collection and reporting infrastructure
- Bachelors or Masters degree in Computer Science, Data Science, or related field
- 5+ years of experience in ML operations or data management
- Proven track record in managing data operations at scale
- Experience with data quality management systems
- Strong background in operational excellence
- Programming proficiency in Python for automation
- Experience with data pipeline development
- Knowledge of data versioning systems (DVC, Git LFS)
- Expertise in data validation frameworks and tools
- Experience with cloud storage and data systems
- Strong background in ML data workflows
- Strong operational management capabilities
- Excellence in technical vendor management
- Clear communication and documentation skills
- Problem-solving and analytical abilities
- Team leadership and collaboration skills
- Data-driven decision making abilities
Employment Type: Full Time, Permanent
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