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AB-ML Data Associate II, Amazon Business - ML Data Ops

AB-ML Data Associate II, Amazon Business - ML Data Ops

Amazon

1 years

0 Lacs

Hyderabad Telangana India

Posted:2 days ago| Platform:

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Skills Required

ml data learning annotation compliance test metrics report auditing analysis leadership training testing analyze audits development workflow checks tooling software communication excel support onboarding recruiting

Work Mode

On-site

Job Type

Full Time

Job Description

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. You'll 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. You'll also contribute to continuous process improvement by analyzing ML datasets and implementing small-scale simplifications. Additionally, you'll take on a leadership role by providing guidance and training team members, participating in knowledge sharing sessions.Key job responsibilitiesAs 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. You'll 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. You'll 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. You'll 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 you'll 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.

Basic Qualifications

1+ years of relevant work experienceProficiency in performing annotation-related tasks and procedures in assigned process areasUnderstanding of ground-truth data generation workflowBasic in MS - OfficeAbility to modify or create SOPs from existing annotation/data collection guidelinesExperience in performing quality checks on executions and contributing to root cause analysis of user errorsCapability to achieve targeted productivity, quality, utilization, and other KPIsKnowledge of more than one ML data labelling method and processUnderstanding of dependencies across ML data workflows and ability to articulate customer impactAbility to analyze ML datasets and provide inputs for continuous process improvementExperience in identifying operational issues in tooling/processesSkill in recommending and implementing small-scale process simplification improvementsProficiency in using internal tools and software related to data collection and annotationStrong adherence to confidentiality and compliance requirementsAbility to work effectively with some level of ambiguity, determining which task or procedure (or when a slight deviation is needed) to achieve desired outcomesGood communication skills to interact with team members and stakeholders

Preferred Qualifications

Proficient with technical expertise such as - MS-ExcelOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company

- ADCI HYD 13 SEZJob ID: A3042583

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AB-ML Data Associate II, Amazon Business - ML Data Ops