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AB-ML Data Associate II

AB-ML Data Associate II

Amazon

1 - 6 years

4 - 5 Lacs

Hyderabad

Posted:23 hours ago| Platform:

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Skills Required

Analytical skills Root cause analysis Manager Quality Assurance Process improvement Machine learning Data collection Workflow MS Office Operations Data Associate

Work Mode

Work from Office

Job Type

Full Time

Job Description

As an ML Data Ops II, you will play a crucial role in managing and improving machine learning data annotation processes. Your responsibilities span a wide range of tasks, from executing and overseeing annotation work to ensuring quality, productivity, and compliance across ML data process areas. Youll serve as a point of contact for simple annotation tasks, modify SOPs, test new tools, and provide valuable feedback for improvements. Your analytical skills will be put to use as you track metrics, report progress, and identify process issues. Quality assurance is a key aspect of your role, involving auditing work, documenting errors, and performing root cause analysis. Youll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, youll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions.
As an ML Data Ops II, your key responsibilities will encompass a wide range of tasks critical to the success of machine learning data annotation processes. Youll execute and oversee annotation tasks across multiple ML data process areas, serving as a point of contact for simple annotation tasks while achieving targeted KPIs. Your role involves modifying and documenting SOPs, testing new tools, and providing valuable feedback for improvements. Youll analyze data, track metrics, and report progress to stakeholders, while also reviewing process issues and ensuring compliance with guidelines. Quality assurance is a crucial aspect of your position. Youll contribute to continuous process improvement by analyzing ML datasets, suggesting and implementing small-scale process simplifications, and identifying operational issues. Ensuring team adherence to confidentiality and compliance requirements is paramount, as is conducting periodic data audits. Your analytical skills will be utilized to provide insights for ongoing process enhancements, and youll collaborate with cross-functional teams to improve operational metrics and processes. This role offers opportunities for growth and development within the ML data operations field, with a focus on process improvement and quality assurance. 1+ years of relevant work experience Proficiency in performing annotation-related tasks and procedures in assigned process areas Understanding of ground-truth data generation workflow Basic in MS Office Ability to modify or create SOPs from existing annotation/data collection guidelines Experience in performing quality checks on executions and contributing to root cause analysis of user errors Capability to achieve targeted productivity, quality, utilization, and other KPIs Knowledge of more than one ML data labelling method and process Understanding of dependencies across ML data workflows and ability to articulate customer impact Ability to analyze ML datasets and provide inputs for continuous process improvement Experience in identifying operational issues in tooling/processes Skill in recommending and implementing small-scale process simplification improvements Proficiency in using internal tools and software related to data collection and annotation Strong adherence to confidentiality and compliance requirements Ability to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomes Good communication skills to interact with team members and stakeholders Proficient with technical expertise such as MS-Excel

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AB-ML Data Associate II