7535 Tooling Jobs - Page 46

Description 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. Note: This is a Fixed Term Contractual Role 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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 Preferred Qualifications 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 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. Company - ADCI MAA 12 SEZ Job ID: A3030701

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses. About The Role We are building a world-class Support team - committed to helping customers realize the full potential of Rippling. Team members focus on getting our customers back on course when challenges arise and contribute to internal discussions around product enhancements. If you are the type of person to look at a flight of 10,000 stairs, pause, get a bit excited, and then seize the moment - you have what it takes! What You Will Do Manage multiple frontline customer support teams (you will be managing our first line supervisors in this role) Track, monitor & continuously improve performance on key metrics & KPIs Help reinforce an environment of ongoing development and continuous improvement by overseeing and assessing the activities of the customer support team, and providing them with real-time performance-related feedback Work cross-functionally with Product and Engineering teams to make the team more efficient with new/improved tooling and processes Assist in creating and maintaining documentation pertaining to customer support tasks and best practices Review and utilize data to make informed decisions and use scalable processes to enhance and improve the customer experience Build and maintain a collaborative, inclusive team culture What You Will Need 5+ years of customer service and/or industry-related experience, preferably at a SaaS company 2+ years of experience managing managers with a (roll up) team of 20+ individual contributors, ideally overseeing a customer support team or similar customer-facing team Experience hiring and managing a distributed team Strong organizational skills and the ability to multitask while helping multiple customers/team members at the same time A data-driven approach to developing, tracking, and optimizing performance metrics Proficiency with data analysis tools (ex: Microsoft Excel, Google Sheets) Creative problem solver who enjoys removing blockers for customers in support of the team Courage to challenge the status quo when logic and reason require it. See something broken? Fix it. Empathy, the ability to recognize where a customer is coming from, and identify how Rippling can help them

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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-paced environments with changing circumstances, direction, and strategy Preferred Qualifications 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030746

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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-paced environments with changing circumstances, direction, and strategy Preferred Qualifications 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3031059

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030728

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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-paced environments with changing circumstances, direction, and strategy Preferred Qualifications 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030748

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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-paced environments with changing circumstances, direction, and strategy Preferred Qualifications 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030739

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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-paced environments with changing circumstances, direction, and strategy Preferred Qualifications 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3031060

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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 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 Preferred Qualifications 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 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030768

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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 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 Preferred Qualifications 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 Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030723

Description 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. 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 improvements A 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. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications 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-paced environments with changing circumstances, direction, and strategy Preferred Qualifications 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 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. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030725

About Us QuillBot was founded in 2017 with the mission of helping students and professionals, especially those learning English, strengthen their writing. Today, QuillBot is on a mission to make written communication better and more efficient. With over 56 million users worldwide, QuillBot empowers people to write without limits. The platform offers a suite of AI-powered tools, including paraphrasing, grammar checking, summarizing, and more to help users communicate more effectively across languages and cultures. With a dedicated team of 190 employees, QuillBot continues to innovate, enabling users to enhance their writing and express themselves with clarity and confidence. "Write without limits" is at the core of everything we do at QuillBot. Job Responsibilities UX Research (50%)—Tactical & lightweight research In this role, you will support product and design teams by conducting lightweight, tactical research to guide decisions. Plan and run surveys, usability tests, and concept evaluations to gather timely user feedback on product features and experiences. Partner with designers and PMs to identify low-effort research opportunities that can clarify design direction. Translate findings into clear, actionable insights and deliverables (e.g., slides, quick summaries, etc.) that teams can act on immediately. Help teams make evidence-based decisions by embedding user feedback into product discussions and documentation. Maintain and iterate on templates, research trackers, and playbooks to help non-researchers run basic studies. Research operations (50%) Role In addition to research, you’ll play a key role in scaling research impact and improving how research is done across the company: Optimize research processes: Identify friction points in current workflows and build scalable systems that enable faster, high-quality research. Participant management: Oversee participant recruitment while maintaining ethical compliance in participant engagement. Tooling & automation: Evaluate and manage research tools and identify opportunities to improve team efficiency. Knowledge management: Maintain and curate our research repository, ensuring that research insights are well-documented and easily discoverable. Team Alignment: Lead weekly team meetings and adapt research schedules to ensure alignment with team availability and priorities. Company engagement of research insights: Ensure that research insights are socialized and reused across teams. Vendor and budget coordination: Manage contracts and renewals for research tools. Org-wide education: Support a research culture by creating internal resources, such as guides and onboarding for researchers and stakeholders. Ideal Candidate Bachelor’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, Design, Anthropology, or a related field. OR equivalent practical experience conducting UX research and managing research operations/logistics in a product or design team setting 3+ years of experience in UX research operations, UX research, or a related role in a product or design team. Demonstrated ability to conduct lightweight, tactical research (e.g., usability tests, surveys, concept validation). Experience supporting product and design teams with quick-turnaround findings that inform short-term decisions. Experience with research and user testing tools. 2+ years of experience recruiting participants, managing logistics, and handling consent and privacy requirements. Understanding of data privacy regulations and ethical research practices. Excellent communication skills, including the ability to clearly document, summarize, and present research findings for maximum accessibility. Comfort with ambiguity and able to drive clarity and structure in a fast-paced environment. The operational backbone of the team—great at setting up systems that scale and rituals that stick. A systems thinker who enjoys building repeatable processes, templates, and scalable tools. Desired Skills Prior experience working in a startup or scrappy team environment where roles can flex and evolve. Strong project management and coordination skills, such as the ability to manage multiple initiatives, tools, and stakeholders. Ensures the team runs like a well-oiled machine through thoughtful planning, documentation, and process design. Experience with user research tools like Dovetail, SurveyMonkey, etc. Benefits & Perks Competitive salary, stock options & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, Germany, the Netherlands, and India. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed below. You may also be eligible to participate in our bonus program and may be offered an equity award, benefits, and other types of compensation. #QuillBot Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

About The Role We are seeking a highly skilled and forward-thinking Lead Data Scientist to join our cutting-edge AI/ML team. This role demands deep expertise in Generative AI, LLMs, and end-to-end ML engineering, with a strong grasp of scalable systems, modern architectures, and AI deployment in production environments. You will be at the forefront of designing intelligent systems using large language models (LLMs), advanced NLP techniques, and modern ML practices. If youre passionate about pushing the boundaries of what's possible with GenAI and delivering real-world AI solutions, wed love to talk. Key Responsibilities Lead the design and development of GenAI solutions using LLMs, NLP, and deep learning models. Build and optimize production-grade ML pipelines and AI systems across various domains. Design and deploy RAG (Retrieval-Augmented Generation) architectures and intelligent chatbots. Work with cross-functional teams to integrate AI components into scalable applications. Provide technical leadership, conduct code reviews, and mentor junior team members. Drive experimentation with prompt engineering, agentic workflows, and domain-driven designs (DDD). Ensure best practices in testing (TDD), clean architecture (Hexagonal), and model reproducibility. Must-Have Skills & Experience AI/ML Expertise : Machine Learning, NLP, Deep Learning, Generative AI (GenAI) LLM Stack : GPT, Chatbots, Prompt Engineering, RAG Programming : Python, including Pandas, NumPy, Scikit-learn, XGBoost Architecture : Agentic AI, DDD, TDD, Hexagonal Architecture Tooling & Deployment : Terraform, Docker, REST/gRPC APIs, Git Cloud Platforms : AWS / GCP / Azure AI Tooling : Familiarity with Copilot, Tabnine, or other AI-assisted coding tools Distributed Training : Hands-on with NVIDIA GPU-enabled environments for model training End-to-End Ownership : Proven experience managing the full ML lifecycle from experimentation to deployment Good To Have Experience with vector databases (e.g., FAISS, Pinecone) Knowledge of LangChain, LlamaIndex, or similar GenAI frameworks Contribution to open-source GenAI/ML projects Experience in performance tuning of LLMs and fine-tuning custom models (ref:hirist.tech)

Job Summary We are seeking a forward-thinking AI Architect to design, lead, and scale enterprise-grade AI systems and solutions across domains. This role demands deep expertise in machine learning, generative AI, data engineering, cloud-native architecture, and orchestration frameworks. You will collaborate with cross-functional teams to translate business requirements into intelligent, production-ready AI solutions. Key Responsibilities Architecture & Strategy : Design end-to-end AI architectures that include data pipelines, model development, MLOps, and inference serving. Create scalable, reusable, and modular AI components for different use cases (vision, NLP, time series, etc.). Drive architecture decisions across AI solutions, including multi-modal models, LLMs, and agentic workflows. Ensure interoperability of AI systems across cloud (AWS/GCP/Azure), edge, and hybrid environments. Technical Leadership Guide teams in selecting appropriate models (traditional ML, deep learning, transformers, etc.) and technologies. Lead architectural reviews and ensure compliance with security, performance, and governance policies. Mentor engineering and data science teams in best practices for AI/ML, GenAI, and MLOps. Model Lifecycle & Engineering Oversee implementation of model lifecycle using CI/CD for ML (MLOps) and/or LLMOps workflows. Define architecture for Retrieval Augmented Generation (RAG), vector databases, embeddings, prompt engineering, etc. Design pipelines for fine-tuning, evaluation, monitoring, and retraining of models. Data & Infrastructure Collaborate with data engineers to ensure data quality, feature pipelines, and scalable data stores. Architect systems for synthetic data generation, augmentation, and real-time streaming inputs. Define solutions leveraging data lakes, data warehouses, and graph databases. Client Engagement / Product Integration Interface with business/product stakeholders to align AI strategy with KPIs. Collaborate with DevOps teams to integrate models into products via APIs/microservices. Required Skills & Experience Core Skills : Strong foundation in AI/ML/DL (Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, etc.) Advanced knowledge of Generative AI (LLMs, diffusion models, multimodal models, etc.) Proficiency in cloud-native architectures (AWS/GCP/Azure) and containerization (Docker, Kubernetes) Experience with orchestration frameworks (Airflow, Ray, LangGraph, or similar) Familiarity with vector databases (Weaviate, Pinecone, FAISS), LLMOps platforms, and RAG design Architecture & Programming Solid experience in architectural patterns (microservices, event-driven, serverless) Proficient in Python and optionally Java/Go Knowledge of APIs (REST, GraphQL), streaming (Kafka), and observability tooling (Prometheus, ELK, Grafana) Tools & Platforms ML lifecycle tools: MLflow, Kubeflow, Vertex AI, Sagemaker, Hugging Face, etc. Prompt orchestration tools: LangChain, CrewAI, Semantic Kernel, DSPy (nice to have) Knowledge of security, privacy, and compliance (GDPR, SOC2, HIPAA, etc.) (ref:hirist.tech)

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role This operational leader role will set direction for multiple teams in Asia and based in the HCC – including but not limited to GSD, GWS and GTOC in the HCC. The role will have a strong operational focus on delivered globally aligned and standardized services across our support, crisis and operational excellence teams. The role will also lead HCC cross-collaboration across multiple IT Ops teams and partner closely with DTC & GCO leadership in Asia/HCC to build robust stakeholder partnerships. Your Role Accountabilities OPERATIONS/PROJECT MANAGEMENT Plan & manage work responsibilities multiple IT Ops team including GSD, GWS and GTOC teams in Asia, with existing operations team in the region. Assist in creating, applying, and upholding Service Management policies and procedures to align with the rest of the organization. Help set the strategy for managing responsibly & effectively multiple teams in the region, training strategy and work with international peers to drive a consistent process. Help set direction for global team with management of local vendors to ensure the delivery of IT services that are cost effective and of the highest quality. Fiscal efficiency - Support budget planning, track expenses to align with the organization fiscal goals. Work with Key business LT stakeholders to understand the business requirement and align the IT support requirement as per the need. Support the AI-first strategy for support – including wide-scale adoption of the Now-Assist tool and improving our self-heal/self-service customer focus by proactive problem management, partnership with Infra teams to reduce repetitive incidents and improvement knowledge management readiness for the customers. Manage the team’s regular work performance, reviews, performance improvement plans. Responsible to ensure a seamless onboarding and offboarding experience for employees across Americas region. Build close partnership with the other IT Ops LT in HCC, including Service Now and Reporting, to further enhance overall tool usage, optimization, automation and reportings for the global teams and functions. Escalations – act as the in-time zone escalation leader for LT escalations and rally the teams in the region to resolve escalations/heightened requests. Ensure that GWS comprehends and adheres to all Global Information Content Security policies and procedures. Tooling - work closely with our internal app teams like ServiceNow, Zoom, O365 to ensure our teams are best and most efficiently using the tools at our disposal. Partner with respective (Service Now team) to improve CMDB repository and up-keep of team/data pipelines. Improve our reporting outcome for all-up MPO, in partnership with Service Now and Power Bi teams to deliver advanced level reports for multiple teams. Partner with other regional leads (for Asia and Europe) and help deliver a standardized, exceeding level support from GWS/GSD teams. STRATEGY Drive the operational excellence function for MPO, including reporting excellence, driving KPI & Metric based outcome measurement and streamlining incident and crisis management operations. Setup the Operational excellence global function and teams, build integration to measure, report and drive improvements across MPO functions. Business Relationship stewardship - collaborate with key LTs to understand needs and dependencies to better align business processes. Global Standardization - Assist in developing and executing a methodology to evaluate, prioritize and monitor the success of the business processes. Ensure team is functioning as a global function using universal KPIs, dashboards and reports. Work closely with various cross function orgs to understand the change, draw strategy to cover the support for global users. Ability to build a framework and drive development through dynamic business intelligence tools and dashboards for use in ongoing business planning and goal measurement through KPIs. Encourage a culture of innovation, teamwork, and ongoing education, with an emphasis on delivering high-quality customer service. Improve our employee review and goal management processes, in line with corporate guidelines and help develop a hi-po, performance-pay culture across all teams and regions. ANALYTICS Develop comprehensive performance analysis of business processes and review ways of improvement. Deliver all-up reporting for the teams, with clearly defined KPIs and Metrics to measure success and drive team, process and operational improvement pipeline, in partnership with other regional leads (Asia, Europe). Qualifications & Experiences 12+ years of prior experience in a related field (media, entertainment, business development or streaming services industry experience a plus) Experience managing/leading crisis, incident and support (Service Desk/Desk side) teams at global corporations with exceeding focus on service delivery and improvements. 5+ years of People leadership, coaching and culture management in a multi-location setup. Superior analytical and problem-solving skills, including power Bi & Service now tools. Experience developing financial models in Excel AND facilitating business discussions. Expert user of Microsoft Office (Excel, PowerPoint, Word) to prepare all documents, presentations, graphs, briefings, and worksheets. A passion for accuracy and translating insights into a compelling narrative; able to maintain a balance between the details and the larger picture. Excellent written and verbal communication. Superb relationship building skills. Work collaboratively w/small teams. Ability to handle multiple assignments concurrently. Not Required But Preferred Experience Educational qualification - master’s degree in computers. 10+ years of post-master’s degree experience in a related field (entertainment or entertainment) Incident & Crisis management leader Six Sigma and ITIL Certified Knowledge of and passion for media, entertainment, and technology industries (including key players, growth trends and drivers, new media models, industry structure, etc.) Familiarity with streaming and similar products/services Experience working in a national or global company Some visualization tool knowledge would be helpful (i.e. Tableau, Power BI) Comfortable in working in highly iterative and somewhat unstructured environment How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

About Us QuillBot was founded in 2017 with the mission of helping students and professionals, especially those learning English, strengthen their writing. Today, QuillBot is on a mission to make written communication better and more efficient. With over 56 million users worldwide, QuillBot empowers people to write without limits. The platform offers a suite of AI-powered tools, including paraphrasing, grammar checking, summarizing, and more to help users communicate more effectively across languages and cultures. With a dedicated team of 190 employees, QuillBot continues to innovate, enabling users to enhance their writing and express themselves with clarity and confidence. "Write without limits" is at the core of everything we do at QuillBot. Job Responsibilities UX Research (50%)—Tactical & lightweight research In this role, you will support product and design teams by conducting lightweight, tactical research to guide decisions. Plan and run surveys, usability tests, and concept evaluations to gather timely user feedback on product features and experiences. Partner with designers and PMs to identify low-effort research opportunities that can clarify design direction. Translate findings into clear, actionable insights and deliverables (e.g., slides, quick summaries, etc.) that teams can act on immediately. Help teams make evidence-based decisions by embedding user feedback into product discussions and documentation. Maintain and iterate on templates, research trackers, and playbooks to help non-researchers run basic studies. Research operations (50%) Role In addition to research, you’ll play a key role in scaling research impact and improving how research is done across the company: Optimize research processes: Identify friction points in current workflows and build scalable systems that enable faster, high-quality research. Participant management: Oversee participant recruitment while maintaining ethical compliance in participant engagement. Tooling & automation: Evaluate and manage research tools and identify opportunities to improve team efficiency. Knowledge management: Maintain and curate our research repository, ensuring that research insights are well-documented and easily discoverable. Team Alignment: Lead weekly team meetings and adapt research schedules to ensure alignment with team availability and priorities. Company engagement of research insights: Ensure that research insights are socialized and reused across teams. Vendor and budget coordination: Manage contracts and renewals for research tools. Org-wide education: Support a research culture by creating internal resources, such as guides and onboarding for researchers and stakeholders. Ideal Candidate Bachelor’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, Design, Anthropology, or a related field. OR equivalent practical experience conducting UX research and managing research operations/logistics in a product or design team setting 3+ years of experience in UX research operations, UX research, or a related role in a product or design team. Demonstrated ability to conduct lightweight, tactical research (e.g., usability tests, surveys, concept validation). Experience supporting product and design teams with quick-turnaround findings that inform short-term decisions. Experience with research and user testing tools. 2+ years of experience recruiting participants, managing logistics, and handling consent and privacy requirements. Understanding of data privacy regulations and ethical research practices. Excellent communication skills, including the ability to clearly document, summarize, and present research findings for maximum accessibility. Comfort with ambiguity and able to drive clarity and structure in a fast-paced environment. The operational backbone of the team—great at setting up systems that scale and rituals that stick. A systems thinker who enjoys building repeatable processes, templates, and scalable tools. Desired Skills Prior experience working in a startup or scrappy team environment where roles can flex and evolve. Strong project management and coordination skills, such as the ability to manage multiple initiatives, tools, and stakeholders. Ensures the team runs like a well-oiled machine through thoughtful planning, documentation, and process design. Experience with user research tools like Dovetail, SurveyMonkey, etc. Benefits & Perks Competitive salary, stock options & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, Germany, the Netherlands, and India. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed below. You may also be eligible to participate in our bonus program and may be offered an equity award, benefits, and other types of compensation. #Learneo Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation. About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal.

Job Title : Lead Full Stack Developer Experience : 47 Years Location : Gurgaon (Hybrid) Key Responsibilities Lead the design and development of full stack applications using React.js, Next.js, and Spring Boot. Build and maintain scalable, high-performance services using Java, MongoDB, and Kafka. Drive front-end architecture and design with React, Next.js, HTML5, CSS3, and modern JavaScript (ES6+). Implement RESTful APIs and integrate with third-party services and AWS cloud components. Apply Reactive Programming principles to improve system responsiveness (bonus). Take ownership of technical designs, code quality, and mentoring developers on best practices. Collaborate with DevOps teams to ensure reliable CI/CD pipelines and cloud deployments (AWS). Conduct code reviews, optimize performance, and ensure adherence to security and scalability standards. Required Skills Frontend : React.js & Next.js (Expert) JavaScript (ES6+), HTML5, CSS3 (Strong fundamentals) Webpack, Babel, and modern front-end tooling Backend Java (8+), Spring Boot (Hands-on experience) MongoDB or similar NoSQL databases Kafka (event-driven architecture experience) RESTful APIs, Microservices architecture Others AWS services (EC2, S3, Lambda, etc.) Git, CI/CD tools (e.g., Jenkins, GitHub Actions) Unit Testing and Integration Testing (Jest, JUnit, etc.) Understanding of Reactive Programming (Project Reactor/WebFlux) Good to have (ref:hirist.tech)

Site Reliability Engineering (SRE) at Equifax is a discipline that combines software and systems engineering for building and running large-scale, distributed, fault-tolerant systems. SRE ensures that internal and external services meet or exceed reliability and performance expectations while adhering to Equifax engineering principles. SRE is also an engineering approach to building and running production systems – we engineer solutions to operational problems. Our SREs are responsible for overall system operation and we use a breadth of tools and approaches to solve a broad set of problems. Practices such as limiting time spent on operational work, blameless postmortems, proactive identification, and prevention of potential outages. Our SRE culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Equifax brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn, grow and take pride in our work What You’ll Do Manage system(s) uptime across cloud-native (AWS, GCP) and hybrid architectures. Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains. Build automated tooling to deploy service requests to push a change into production. Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services. Solve problems and triage complex distributed architecture service maps. On call for high severity application incidents and improving run books to improve MTTR Lead availability blameless postmortem and own the call to action to remediate recurrences. What Experience You Need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 5-7 years of experience in software engineering, systems administration, database administration, and networking. 2+ years of experience developing and/or administering software in public cloud Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js Demonstrable cross-functional knowledge with systems, storage, networking, security and databases System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) Proficiency with continuous integration and continuous delivery tooling and practices Cloud Certification Strongly Preferred What Could Set You Apart DevSecOps - Uses DevSecOps operational practices and applies engineering skills to improve resilience of products/services. Designs, codes, verifies, tests, documents, modifies complex programs/scripts and integrated software services. Contributes to the selection of the software development methods, tools, and techniques. Applies agreed SRE standards and tools to achieve a well-engineered result. Participates in reviews of own work and leads reviews of colleagues' work. Operational Excellence - Develops work plans for short-term assignments of moderate complexity, typically contained within their own function. Consistently monitor and measure systems against key metrics to ensure availability of systems. Continuously seeks new ways of working to make processes run smoother and faster. Systems Thinking - Uses knowledge of best practices and how systems integrate with others to improve one’s own work and the work of less experienced colleagues. Builds and maintains an understanding of technology trends and uses knowledge to identify factors that achieve the defined expectations of systems availability. Technical Communication/Presentation - Articulates complex messages and the impacts to stakeholders to build support and agreement. Demonstrates strong written and verbal communication skills and the ability to tailor to specific audiences. Work with others to achieve results and proactively address sources of conflict and emotion with focus on the best solution for Equifax. Troubleshooting - Applies a methodical approach to routine and moderately complex issue definition and resolution. Initiates and monitors actions to investigate and resolve problems in systems, processes and services. Determines problem fixes/remedies. Coordinates the implementation of agreed remedies. Analyzes patterns and trends.

Selected Intern’s Day-to-day Responsibilities Include Create and refine 3D CAD parts and assemblies in Fusion 360, leveraging parametric and surface-modeling tools. Apply GD&T principles, tolerance-stack analysis, and DFM guidelines to all designs Prepare, run, and post-process prototypes using FDM and SLA 3D-printing workflows. Perform DFMEA and tolerance-analysis exercises to identify and mitigate potential failure modes. Translate product requirements and user stories into detailed engineering drawings, BOMs, tooling specs, and RFQs. Collaborate in cross-functional design reviews with electrical, software, manufacturing, and quality teams. Liaise with external prototyping shops and injection-molding vendors - coordinate sample runs, review iterations, and refine tooling designs. Document design changes, maintain version control in Fusion Team, and present weekly progress updates. Communicate clearly in written reports and verbal presentations, while managing multiple tasks under tight deadlines. Define and iterate plastic-injection components - parting lines, draft angles, gate/runner layouts, and assess mold-flow results. About Company: Cereble is co-founded by Anjali Bhagwat. Cereble is a sports technology startup recognized by DPIIT, the Government of India. We are a research-oriented establishment that works on the design and development of consumer products that promote automation in sports and healthcare. Fundook is a high-tech shooting sport. Fundook delivers a shooting experience with its laser-based, AI-powered technology that makes it 100% safe, accessible, cost-efficient, and easy to play. It comes with a promise to send your heart racing like never before. Gone are the days when you had to physically search for a shooting range in India. Get ready to delve into the realm of pure rip-roaring matches and unlimited fun. Feel the rush filling your guts with Fundook.

The Deputy Manager - Manufacturing will design and develop new processes, equipment’s required for manufacturing new products in line with BorgWarner standards and customer timelines. Develop new facilities and new equipment to meet the increase in existing customer demand. Work with the global team on developing new processes and technology for the next generation of products. Development of new processes, tooling, and equipment required for manufacturing new products with robust process controls in line with program timelines. Need to have knowledge of Electronic Controls and Machine Programming Need to have knowledge of products manufacturing like engine components, should be able to learn/Understand our products and develop the process requirements Responsible for conducting manufacturing feasibility assessment, provide capital requirement on new RFQs by coordinating with cross functional team and global team through MSO review. Process planning of new equipment and facilities required to meet LRP volumes and increased customer demands. Adherence of forecasted capital and tooling spending as per planned. Develop new equipment as per BorgWarner standards, install, conduct runoff trials, monitor results hand hold till proving the results and handover. Develop new technology process based on DMS products strategy with global support. Responsible for Improving current process to global standards in terms of productivity, Scrap/PPM, Safety, Poka yoke controls, Process capability Extend technical support for production and quality on Critical line stoppages and Customer complaint issues. Will be responsible for Driving ways and means to improve the competitiveness of team members by training and job allocations. Should be able to develop documentation requirement in the complete process, drive periodic review and Update regularly Core Tool Exposures such as Flow diagram, FMEA/ MSA/Work instructions/SPC/PDCA/ Control Chart / QC tools / 5 Why / 3W1H / 8D/Cause & effect diagram / Pareto Chart Must have knowledge on Cycle time Study, OEE, Line balancing, SMED, Kanban, lean basics. Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Career Scam Disclaimer: BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.

💼 Employment Type: Permanent 📚 Education: Diploma in Mechanical or relevant field 💰 Salary: As per company standards 🔧 Job Role: CNC (Turning Shop)Machine Operator We are looking for skilled and experienced CNC Machine Operators to join our dynamic manufacturing team. If you have hands-on experience and are looking for a long-term opportunity with a leading company, we’d love to hear from you! ✅ Experience Required: 1-3 Years (in a similar CNC machine operating role) Key Responsibilities: * Operate CNC machines to perform precision machining tasks * Read and interpret technical drawings and blueprints * Set up tooling and make necessary adjustments * Conduct in-process inspection and quality checks * Maintain machine logbooks and production records * Follow safety and operational protocols Key Skills Required: * CNC Program Knowledge * Tooling & Setup Knowledge * Technical Drawing Reading * In-Process Inspection Handling

Sales & Application Engineer – Cutting Tools & Tool Holders 📍 Location: Vasai, Palghar, Boisar 🏢 Company: Yes Tools & Consultancy Services – Authorised Distributor for Ceratizit, Carmex & Customized Tooling Solutions About Us: We are authorised distributors of premium cutting tool brands like Ceratizit and Carmex, and also specialize in custom-designed tools and tool holders. We help manufacturers improve machining productivity through technical tool recommendations and project-specific solutions. Role Overview: We are hiring a Sales & Application Engineer for cutting tools and tool holders used in CNC machines. This is a field role ideal for candidates with a strong interest in tooling, CNC applications, and technical customer interaction. Key Responsibilities: Sell and promote cutting tools, tool holders, and threading solutions (Turning, Milling, Drilling, Grooving, Boring, etc.) Recommend suitable tools based on component drawings, materials, and machine type Conduct tool trials and support technical implementation at customer sites Work closely with CNC operators, production managers, and purchase teams Provide cost-saving and productivity improvement solutions Focus on CNC job works, OEMs, and machine shops in the Vasai–Palghar–Boisar belt Eligibility Criteria: Minimum 2 years of experience in CNC machining, cutting tool sales, or CNC programming Qualification: Diploma/ITI/Degree in Mechanical or Production Engineering Must be able to read and interpret engineering drawings Sound understanding of CNC operations, tool paths, cutting parameters, and cycle time optimization Willingness to travel – this is a field-based, on-site technical role Language Proficiency: English – Read, Write, Speak Marathi – Read, Write, Speak Hindi – Read, Write, Speak Training & Development: On-the-job training on cutting tools, tool holding systems, and application techniques Strong opportunity for growth in industrial tool sales and applications engineering Direct exposure to leading tool brands and advanced machining practices Important Note: ✅ This role is ideal for someone looking to build a solid career in CNC tooling and application engineering. ❌ If you are not interested in CNC tool applications or field visits, this is not the right fit.

Experience : 15.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: CI/CD, RCA, Performance Engineering, AWS, Scaled Agile, Python, Grafana, Linux Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Application SRE Team supports several critical components of our foundational technologies for real-time protection, as well as our RBI and SSPM services. We are a team of software engineers focused on improving availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of the engineering stacks. If you are passionate about solving complex problems and developing cloud services at scale, we would like to speak with you. What’s In It For You You will be part of a high caliber engineering team in the exciting space of cloud tools and infrastructure management. You will have an opportunity to work on hybrid cloud (Google Cloud, On-prem cloud) and work with cutting edge tooling like spinnaker, kubernetes, docker and more. You will solve complex, exciting challenges and improve the depth and breadth of your technical and analytical skills Your contributions to our market-leading product support will significantly impact our rapidly-growing global customer base. What You Will Be Doing Partner closely with our development teams and product managers to architect and build features that are highly available, performant and secure Develop innovative ways to smartly measure, monitor & report application and infrastructure health Gain deep knowledge of our application stack Experience improving the performance of micro-services and solve scaling/performance issues Capacity management and planning Function well in a fast-paced and rapidly-changing environment Participate with the dev teams in a 24X7 on-call rotations. Ability to debug and optimize code and automate routine tasks. Drive efficiencies in systems and processes: capacity planning, configuration management, performance tuning, monitoring and root cause analysis. Required Skills And Experience 15+ years of experience troubleshooting Unix/Linux Experience in managing a large-scale web operations role Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby Experience with algorithms, data structures, complexity analysis, and software design Hands-on working with private or public cloud services in a highly available and scalable production environment. Experience with continuous integration and deployment automation tools such as Jenkins, Ansible etc. Knowledge of distributed systems a big plus Previous experience working with geographically-distributed coworkers. Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SREs, developers, Product Managers, etc Should have led teams, collaborating cross-functionally to deliver complex software features and solutions. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 15.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: CI/CD, RCA, Performance Engineering, AWS, Scaled Agile, Python, Grafana, Linux Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Application SRE Team supports several critical components of our foundational technologies for real-time protection, as well as our RBI and SSPM services. We are a team of software engineers focused on improving availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of the engineering stacks. If you are passionate about solving complex problems and developing cloud services at scale, we would like to speak with you. What’s In It For You You will be part of a high caliber engineering team in the exciting space of cloud tools and infrastructure management. You will have an opportunity to work on hybrid cloud (Google Cloud, On-prem cloud) and work with cutting edge tooling like spinnaker, kubernetes, docker and more. You will solve complex, exciting challenges and improve the depth and breadth of your technical and analytical skills Your contributions to our market-leading product support will significantly impact our rapidly-growing global customer base. What You Will Be Doing Partner closely with our development teams and product managers to architect and build features that are highly available, performant and secure Develop innovative ways to smartly measure, monitor & report application and infrastructure health Gain deep knowledge of our application stack Experience improving the performance of micro-services and solve scaling/performance issues Capacity management and planning Function well in a fast-paced and rapidly-changing environment Participate with the dev teams in a 24X7 on-call rotations. Ability to debug and optimize code and automate routine tasks. Drive efficiencies in systems and processes: capacity planning, configuration management, performance tuning, monitoring and root cause analysis. Required Skills And Experience 15+ years of experience troubleshooting Unix/Linux Experience in managing a large-scale web operations role Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby Experience with algorithms, data structures, complexity analysis, and software design Hands-on working with private or public cloud services in a highly available and scalable production environment. Experience with continuous integration and deployment automation tools such as Jenkins, Ansible etc. Knowledge of distributed systems a big plus Previous experience working with geographically-distributed coworkers. Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SREs, developers, Product Managers, etc Should have led teams, collaborating cross-functionally to deliver complex software features and solutions. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 15.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: CI/CD, RCA, Performance Engineering, AWS, Scaled Agile, Python, Grafana, Linux Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Application SRE Team supports several critical components of our foundational technologies for real-time protection, as well as our RBI and SSPM services. We are a team of software engineers focused on improving availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of the engineering stacks. If you are passionate about solving complex problems and developing cloud services at scale, we would like to speak with you. What’s In It For You You will be part of a high caliber engineering team in the exciting space of cloud tools and infrastructure management. You will have an opportunity to work on hybrid cloud (Google Cloud, On-prem cloud) and work with cutting edge tooling like spinnaker, kubernetes, docker and more. You will solve complex, exciting challenges and improve the depth and breadth of your technical and analytical skills Your contributions to our market-leading product support will significantly impact our rapidly-growing global customer base. What You Will Be Doing Partner closely with our development teams and product managers to architect and build features that are highly available, performant and secure Develop innovative ways to smartly measure, monitor & report application and infrastructure health Gain deep knowledge of our application stack Experience improving the performance of micro-services and solve scaling/performance issues Capacity management and planning Function well in a fast-paced and rapidly-changing environment Participate with the dev teams in a 24X7 on-call rotations. Ability to debug and optimize code and automate routine tasks. Drive efficiencies in systems and processes: capacity planning, configuration management, performance tuning, monitoring and root cause analysis. Required Skills And Experience 15+ years of experience troubleshooting Unix/Linux Experience in managing a large-scale web operations role Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby Experience with algorithms, data structures, complexity analysis, and software design Hands-on working with private or public cloud services in a highly available and scalable production environment. Experience with continuous integration and deployment automation tools such as Jenkins, Ansible etc. Knowledge of distributed systems a big plus Previous experience working with geographically-distributed coworkers. Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SREs, developers, Product Managers, etc Should have led teams, collaborating cross-functionally to deliver complex software features and solutions. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!