What are the responsibilities and job description for the ML Data Engineer position at Aim4Hire?
Machine Learning Data Engineer
Key Responsibilities :
- Collaboration : Collaborate with cross-functional teams including data scientists, machine learning engineers, and domain experts to understand data requirements and objectives.
- Data Strategy : Design and develop data collection strategies for large-scale image, video, and audio datasets, considering factors such as diversity, quality, and representativeness.
- Pipeline Development : Design, develop, and maintain robust data pipelines to collect, store, and process large volumes of data efficiently and reliably.
- Automation : Develop and implement automation tools to streamline data collection, processing, and curation tasks.
- Infrastructure Management : Oversee the infrastructure required for data storage and processing, ensuring scalability and performance.
- Data Curation : Curate and manage datasets, ensuring they are clean, well-organized, and suitable for training and testing ML models.
- Data Quality Assurance : Implement data validation and quality assurance processes to ensure the integrity and accuracy of datasets.
- Documentation : Document processes, methodologies, and best practices related to data collection and management.
- Innovation : Stay up-to-date with the latest advancements in data collection, machine learning, and related fields, contributing insights and ideas to the team.
Qualifications :
Compensation and Benefits :
