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 straightforward 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 responsibilities 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 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 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 PREFERRED QUALIFICATIONS Proficient with technical expertise such as - MS-Excel Our 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 Job details IND TS Hyderabad Fire TV Tablets Editorial Writing Content Management

📌 Ab-ml Data Associate Ii, Amazon Business - Ml Data Ops (Telangana)
🏢 Amazon.com
📍 Telangana