Ops Support Expert Gsrc jobs at Amazon in India

· Walk job sites in uneven terrain
· Work at heights and from ladders
· Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
· Bend or twist the body into unusual positions while working
· Push or pull heavy objects into position
· Work in noisy environments
Ability to work non-standard hours including nights and weekends.This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility.Related Military Ratings/MOSs
- Navy: AD, AE, AT, CE, CM, EM, EMN, ET, ETN, FC, FT, MM, MMN, EN, STG, STS, UT
- Army:15D, 15F, 15X, 15Y, 21P, 21Q, 21R, 31L, 35N, 52C, 52D, 52F
- Marines:612, 613, 1141, 1142, 1161, 6073, 6322, 6323, 6324, 6326, 6332, 6333, 6336, 6337
- Air Force: 3E531, 3E631, 3E032, 3E131, 3E331, 3E431, 2M033, 3D136, 3D137, 3E031Key job responsibilities
- Operate and maintain mechanical and electrical, mechanical, emergency generator, and fire/life safety equipment within the data center
- Troubleshoot of facility and rack-level events within internal SLAs
- Perform limited maintenance tasks to including filter changes, HVAC PMs, rack power installs, rack PDU, and rack ATS replacements
- Provide support to Data Center Operations technicians
- Perform root cause analysis of equipment failures
- Ensure all safety procedures are adhered to while performing work
- Work a 12 hour shift (rotating 3 and 4 day work weeks days or nights)
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log taking (temperatures, voltages, currents, etc.)
- Utilize internal CMMS to manage building workflows and spare part inventory
- Supervise contractors who perform servicing or preventive maintenance
- Respond to off hour emergency calls per on call rotation for any one of the region’s sites
- Fully comply with all physical security procedures and policies
- Drive innovation while reducing operational costs in the facilities
- Manipulate small wires and objects
A day in the life
After an initial training period, you will support data center infrastructure operations on a shift schedule supporting our 24/7 staffing model. You will get information from your peer technicians who are ending shift, review the maintenance schedule for any tasks due that day, and then perform routine physical checks of our critical systems. After these rounds are complete, you and your shift partner will perform preventative maintenance, troubleshoot technical issues, take repair actions, and perform facility maintenance. You will also author technical procedures, work orders, and work on advanced qualifications and projects as your career progresses at AWS!
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of maintenance experience on mechanical or electrical equipment
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Associate’s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
- Data Center Operations Experience or experience operating electrical or mechanical systems in a mission critical environment (i.e. military, telecom, etc.)
- Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
- Experience with building management systems (BMS and EPMS control systems) and data collection/trending
- Operating engineering license(s) such as DC II, DC III, or equivalent, Electrical or mechanical Journeyman License, CFC license (Universal or minimum Type II), and/or NFPA 70E Cert

Key job responsibilities
- Develop and maintain PFMEA and control plans throughout the life cycle of a process. Use PFMEA to identify potential failures, their effects, and implement preventive actions.- Own disposition of defective equipment by developing metrics and maintain a quarantine cage.- Drive the resolution of issues identified.- Manage the process/product quality audit program. Document audit findings and ensure proper corrective actions are taken.- Manage change management requests and obtain approvals from appropriate stakeholders.- Serve as the primary quality contact on the production floor. Communicate relevant quality-related details at the start and end of each shift.- Assist in and facilitate process improvement initiatives, providing subject matter expertise and support.- Assist in the roll-out of new processes and equipment by performing quality inspections and trial runs.- Own and develop standard policies and procedures for processes within operations. Ensure SOPs are up-to-date and followed consistently.A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
- Bachelor's degree

- Experience working with and managing third party vendors
- Experience with Six Sigma, lean manufacturing

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

An Associate, Quality Services owns manual execution of documented set of task instructions for a list of components or features of a product, as per the defined productivity and quality targets, agreed SLA and adhere to processes.Key job responsibilities
Gain understanding of the application test procedures and how to use applicable software and tools.
· Execute test instructions and report test results accurately and promptly.
· Report any deviations observed
· Understand any changes in test instructions related to their assigned work
· Follow defined processes to perform assigned workA day in the life
Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes

- Bachelor's degree
- Knowledge of QA methodology and tools

- Understanding about software testing · Ability to complete assigned tasks accurately and promptly

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Comfortable with high-school level STEM*
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

- Experience with creating complex data for LLM training and evaluation
- C2 level in the Common European Framework CEFR scale
- 1+ year(s) of experience working with command line interfaces and basic UNIX commands
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast