Role –Senior Gen AI Engineer Location - Kochi Mode of Interview - In Person Data - 14th June 2025 (Saturday) Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

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. 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+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973271 Show more Show less

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. 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+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973312 Show more Show less

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. 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+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973273 Show more Show less

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. 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+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973306 Show more Show less

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. 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+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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 MAA 12 SEZ Job ID: A2973315 Show more Show less

○ Make outbound calls to insurance companies and payors to collect essential information, including claim statuses, denial reasons, and any additional relevant details. ○ Conduct all calls in full compliance with the Client's guidelines and applicable healthcare regulations. ○ Maintain professionalism and ensure clear communication during each call. ○ Accurately record, categorize, and label calls or information gathered using the taxonomy and definitions provided by the client. ○ Ensure all claim statuses and call outcomes are properly labeled for consistency in reporting and easy analysis. ○ Deliver categorized data in periodic reports or through the portal developed by client, following the requested format and frequency. ○ Analyze recorded call transcripts to extract actionable insights, identifying trends, recurring denial reasons, and other patterns. ○ Compile findings into periodic reports, providing valuable information to the Client to support process improvements and optimize workflow Receive payment information if the claims has been processed. Analyze claims in-case of rejections. Ensure deliverables adhere to quality standards. Skills: management,ar caller,data,labeling,communication,accounts receivable,deliverables,case,medical billing,healthcare,compliance with healthcare regulations,clear,data categorization,insurance,claims analysis,outbound calling,report generation,categorization,call transcript analysis,identifying trends Show more Show less

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 proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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: A2973334 Show more Show less

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 proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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: A2973329 Show more Show less

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 proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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: A2973295 Show more Show less

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 proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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: A2973285 Show more Show less

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 proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). 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 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: A2973288 Show more Show less

Why join us? Our purpose is to design for the good of humankind. It’s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. Title - - Associate Product Development Engineer Years Of Experience - 3 - 5 Years Scope May provide fundamental engineering leadership and expertise. May conduct feasibility studies and develop engineering criteria. Performs primary analyses to develop design options or recommendations for structures, systems and components. Emphasis will be placed on team participation and ability to achieve results on assigned projects Essential Functions ° Seeks and receives mentoring from senior level and engineering leadership. ° Applies basic supply chain cost, value stream capabilities and economic principles. ° Seeks approval of budget owner using appropriate request process. ° Performs additional responsibilities as requested to achieve business objectives. ° Follows engineering and quality processes. Minimum Requirements ° 4 year degree in Mechanical Engineering or Equivalent ° Exposure to project management concepts may be essential for some assignments. ° Must be able to assess process concepts and to determine where continuous improvement opportunities exist. ° Must be able to communicate effectively with peers and develop a partnering relationship with other team members. ° Basic knowledge in the use of common office automation, communication, software and tools, Herman Miller mainframe applications and engineering related software. ° Must have basic problem solving ability and be able to apply engineering expertise to problem solving. ° At the direction of supervision must be able to effectively react to changing priorities and work flow and be able to anticipate, recognize, and respond effectively to changes which affect project plans. ° Must be able to perform all essential job functions with or without accommodation. Additional Essential Functions Research, investigate and understand product criteria, functions, requirements and cost targets (customer criteria, performance requirements, build objectives, manufacturability, assembly, quality, craftsmanship, service, installation). ° Investigate and consider multiple solution alternatives for problems and concepts. Present solutions by evaluating the alternatives and tradeoffs, eliminating the weak alternatives, and improving the feasible alternatives. ° Collaborate and communicate with project team members, other engineers, external experts and industrial designers to share ideas and offer suggestions. ° Investigate new or existing suppliers, materials and manufacturing processes that could provide solutions. ° Complete sketches, models, detailed engineering analysis' and studies that support the development of new parts and products; ° Develop and specify appropriate prototype fabrication processes and materials; coordinate the build of prototype products and the fabrication of prototype parts. ° Evaluate and test concept models and prototypes against the project objectives, criteria and requirements. ° Identify potential problems on new products and concepts, and develop good corrective actions by following a rigorous problem solving process. ° Solicit cost estimates for prototype and production parts. ° Communicate clear, concise, accurate and detailed engineering documentation (ECO's, deviations, test requests, work orders, model shop requests, drawings, instructions, e-mails, etc.). ° Work directly with Performance Engineering to develop Performance Requirements and test plans; request physical testing on parts and products then evaluate test results. ° Create, maintain and release accurate 3D CAD models, drawings, service parts, instruction sheets, gerber files, schematics, ECO's, BOM's and material specifications for prototype products and production products. ° Support the development of planning guides, CSI, tech specs, product labeling and marketing materials. ° Support the completion of PPAP and assure parts are properly released for production following HMI procedures. ° Work directly with Quality Engineering, Dimensional Engineers and suppliers to refine product designs to achieve quality and craftsmanship objectives. ° Manage individual task work to meet project team objectives for budget and timing. ° Regularly review part and product designs with development team members, managers, designers and suppliers to solicit their feedback and suggestions for improvements. ° Maintain engineering notes, models, records, calculations and analysis' that demonstrate the progression of the product designs and review with lead engineers. ° Complete patent disclosures and Right to Use (RTU) with HMI legal staff. ° Support new patent applications with HMI legal staff when appropriate. ° Support other project team members and project activities that require input and task work from the product development engineer: project schedules, project budgets, CMF development, prototype builds, PR's, testing, supplier communications. Additional Requirements 3+ years of professional level experience in new product development or continuous improvement of current products. ° Demonstrated proficiency in Pro-E modeling or other equivalent 3D CAD software. Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We’re committed to equal opportunity employment, including veterans and people with disabilities. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com. Show more Show less

Job Title : Pharmacist Department : Pharmacy / Healthcare Location : Delhi / NCR Reports To : Pharmacy Manager / Hospital Administrator / Retail Head Job Summary : We are seeking a qualified and licensed Pharmacist to join our healthcare team. The ideal candidate will be responsible for dispensing medications , ensuring compliance with medical regulations, and delivering excellent patient care. Candidates must possess a valid Pharmacist Registration from the Delhi Pharmacy Council. Key Responsibilities : Dispense prescribed medications accurately and provide guidance on dosage, side effects, and interactions. Offer patient counseling and answer queries regarding medicines and their usage. Maintain and update patient medication records as required by law. Ensure proper storage, labeling, and handling of all pharmaceutical products. Monitor inventory levels and place timely orders to avoid stockouts or overstocking. Conduct regular audits of medications and maintain records of expired or recalled drugs. Collaborate with physicians and healthcare staff to ensure optimal patient care. Adhere to legal, ethical, and regulatory standards in all pharmacy operations. Handle billing and cash management if applicable. Required Qualifications & Skills : B.Pharm or M.Pharm degree from a recognized institution. Mandatory: Valid Pharmacist License issued by the Delhi Pharmacy Council. Minimum [X] years of relevant experience in hospital or retail pharmacy. Sound knowledge of pharmacology, drug regulations, and patient safety protocols. Good communication and interpersonal skills. Proficient in pharmacy software and inventory systems. Preferred Skills : Experience with hospital pharmacy or clinical settings. Knowledge of NABH/NABL compliance standards. Familiarity with ERP/SAP systems is an advantage. Job Types: Full-time, Part-time Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Health insurance Life insurance Provident Fund Schedule: Day shift Work Location: In person

Assess the identity, strength, and purity of medications. Review prescriptions to assure accuracy, ascertain the needed ingredients, and evaluate their suitability. Provide information and advice regarding drug interactions, side effects, dosage, and proper medication storage. Analyze prescribing trends to monitor patient compliance and prevent excessive usage or harmful interactions. Order and purchase pharmaceutical supplies, medical supplies, and drugs, maintaining stock and storing and handling it properly. Maintain records, such as pharmacy files, patient profiles, charge system files, inventories, control records for radioactive nuclei, and registries of poisons, narcotics, and controlled drugs. Advise customers on the selection of medication brands, medical equipment, and healthcare supplies. Collaborate with other healthcare professionals to plan, monitor, review, and evaluate the quality and effectiveness of drugs and drug regimens, providing advice on drug applications and characteristics. Compound and dispense medications as prescribed by doctors. Offer health promotion and prevention activities, for example, training people to use devices such as blood pressure or diabetes monitors. Plan, implement, and maintain procedures for mixing, packaging, and labeling pharmaceuticals, according to policy and legal requirements, to ensure quality, security, and proper disposal What is the profile of the person who will be successful in this role? • Proficiency in verbal communication – English and Kannada/Hindi. Any local language proficiency is an added advantage. • Qualification: B-Pharma, M-Pharma, or Pharma D. • Experience – 0 to 2 Years. • Registered with Karnataka Pharmacy Council and ready to submit the Original Registration (KPC Certificate). • Able to work accurately and with minimal supervision. • Good organizational and time management skills. • Ability to comprehend written instructions given by the Doctors and the other related departmental personnel. • Ability to plan & organize one’s work schedule effectively. • Speaking and listening are essential requirements to understand and carry out the instructions given by the supervisors and other related departmental personnel Job Types: Full-time, Fresher Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Health insurance Paid time off Provident Fund Schedule: Day shift Morning shift Rotational shift Education: Diploma (Preferred) Experience: Basic computer: 1 year (Preferred) total work: 1 year (Preferred) Pharmacist: 1 year (Preferred) License/Certification: Registered Pharmacist - Pharmacy (Required) Work Location: In person

Job Title : Dispatch Executive Department : Dispatch & Logistics Location : Vapi, Gujarat Reporting To : Production Manager / Operations Head Experience Required : 2–4 years in dispatch operations in the garment manufacturing industry Key Responsibilities : 1. Garment Picking, Packing & Labeling : Physically pick finished garments based on style, size, and order sheets. Ensure packing is done as per buyer-specific SOPs (hanger/flat pack, folding, polybagging). Apply correct barcodes, washcare labels, size stickers, carton labels , and carton sealing as per requirement. 2. Buyer Portal Operations : Log in to buyer portals (Reliance, Pantaloons, Max, etc.) to: Scan and upload DPR (Dispatch Packing Report) . Generate and download AWBs (Air Waybills) or shipping labels . Update dispatch data and scan barcodes for each carton. Upload any required documentation such as invoices or QC reports. Download and maintain buyer-specific reports. 3. Documentation & Compliance : Generate and verify invoices, packing lists, e-way bills, delivery challans , and LR copies . Maintain dispatch documentation and records for audit and reconciliation. 4. Coordination with Transporters & Buyers : Book pickups with designated logistics partners or buyer-authorized transporters. Ensure timely handover of packed goods with proper documentation. Share dispatch details and AWBs with the internal team and client if required. Resolve any transporter-related issues like delays, vehicle unavailability, etc. 5. Reporting & Logs : Maintain dispatch tracker (manual or digital) with style, quantity, carton count, buyer name, portal status, and transporter. Submit daily dispatch reports to management. Maintain records of portal uploads and scans for accountability. 6. Quality & Compliance Checks : Ensure all packed garments meet final visual quality checks. Comply with buyer instructions regarding carton dimensions, labeling format, packaging material , and barcode positions . Skills & Qualifications : Graduate or HSC pass with 2–4 years of experience in dispatch in the garment/textile industry Must be proficient with buyer dispatch portals Knowledge of AWB generation, barcode scanning, and DPR uploads Familiarity with GST documentation and e-way bill generation Comfortable with Excel / Google Sheets for tracking dispatches Good communication skills to coordinate with transporters and buyers Basic understanding of garment packing standards and quality protocols Preferred : Familiarity with RFID, barcode, or serialized packing systems Exposure to fast-track capsule dispatches and multiple portal environments Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Work Location: In person

Key Responsibilities: Mechanical Diploma Holder: Perform preventive and breakdown maintenance of mechanical parts in packaging machines (form-fill-seal, labeling, sealing, etc.). Conduct machine alignment, lubrication, and replacement of worn components. Assist in installation and commissioning of new machinery. Troubleshoot mechanical faults and ensure minimal downtime. Electrical Diploma Holder: Carry out routine electrical maintenance and troubleshooting of packaging equipment. Work with control panels, sensors, motors, and power distribution systems. Ensure all electrical systems meet safety standards and comply with regulatory norms. Support in wiring, panel assembly, and electrical testing during installations. Instrumentation Diploma Holder: Monitor and calibrate instruments such as pressure, temperature, flow sensors used in packaging lines. Troubleshoot PLC/SCADA controlled systems and assist in program modifications if required. Maintain records of calibration and instrument history. Coordinate with vendors for automation-related support and upgrades Job Types: Full-time, Permanent, Fresher Pay: ₹12,000.00 - ₹14,500.00 per month Benefits: Cell phone reimbursement Flexible schedule Health insurance Internet reimbursement Leave encashment Life insurance Paid sick time Provident Fund Schedule: Day shift Monday to Friday Weekend availability Supplemental Pay: Overtime pay Shift allowance Ability to commute/relocate: Nadiad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Location: Nadiad, Gujarat (Preferred) Work Location: In person

Work Level : Individual Core : Self Motivated, Result Driven Leadership : Responsive Industry Type : Manufacturing & Production Function : Quality Analyst Key Skills : Quality Control,Quality Checking,Product Analyst,Report Preparation Education : Diploma Note: This is a requirement for one of the Workassist Hiring Partner Roles and Responsibilities: The QC Inspector – Final Inspection is responsible for performing final quality checks on products before release to ensure they meet all internal and customer specifications. This role involves visual inspections, dimensional checks, documentation review, and ensuring compliance with quality standards. Conduct final inspection of finished components as per customer drawings and quality plans. Follow SOP for Final Inspection. Use precision tools and log reports via tablet PC. Conduct final inspections of finished products for defects, accuracy, and compliance with specifications. Verify product labeling, packaging, and documentation. Use measuring tools (e.g., calipers, micrometers, gauges) for dimensional checks. Record inspection results and report non-conformities. Collaborate with production and quality teams to resolve quality issues. Maintain inspection records and ensure traceability. Support continuous improvement initiatives in quality control processes. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, 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! Show more Show less

- 1+ years of data-driven business operations processes experience - Bachelor's degree - Speak, write, and read fluently in English - Experience with Microsoft Office products and applications - Experience with Excel Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on! As a Senior Associate, Trust & Safety, you are responsible for day-to-day PV Compliance Trust & Safety Operations through content moderation, classification and data labeling activities. You are passionate about working cross functionally You are responsible for reviewing content to ensure it adheres to established content guidelines. You will review Prime video content, often of a graphic nature, and enforce policy decisions related to content. You will be on the front lines, handling and reviewing sensitive content to protect the platform and keep users safe. Our Sr. Associate will review content in continuous succession and it is possible that this role will be exposed to harmful content on a daily basis. You will gather, analyze, and utilize relevant data to develop ways to improve the overall PV user experience. You will research and stay up-to-date on key trends and suspicious patterns across policy areas, along with participating in content calibrations. Experience in content policy/moderations/ratings, anti-abuse, and reviewing online content. Avid PV user preferred. Experience identifying abuse trends or working in news or policy with passion for international issues, including freedom of expression, online controversial content, misinformation etc. Strategic thinker with strong analytical and creative problem-solving skills Self-starter, intellectually curious and creative individual comfortable operating in ambiguity Excellent communication skills, open, collaborative and proven team player. Experience working with global teams. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Description Business: Piramal Critical Care Department: Regulatory Affairs Location: Kurla Travel: Low Job Overview Responsible for all artworks and labeling components of Piramal Critical Care Products Worldwide with adherence to the labeling processes, ensuring compliance with innovator labeling, internal & external partners, and GMP standards and specifications. Participate in a cross-functional team environment as necessary to ensure labeling documents and associated change requests are medically and scientifically accurate and that they comply with regulatory standards, meet company needs and accurately assess current strategy and global regulations Key Stakeholders: Internal Cross-Functional: Sales, Marketing, Manufacturing, Supply Chain, Medical Affairs, Quality Assurance, Quality Control, Pharmacovigilance, Planning, Project Management, Senior Leadership team Key Stakeholders: External Country Distributors, Health Authority (HA), CMOs and external partners Reporting Structure Reports to: Manager – Labelling Essential Qualification Bachelor’ degree or Master’s degree in Pharmaceutical sciences or equivalent Experience 4 years relevant regulatory experience (Global experience including US, EU and major Rest of World markets preferred) Roles And Responsibilities Global labeling details (labels, cartons, package inserts, patient package inserts) to ensure quality and accurate compliance, evaluations, maintenance, reviews and approvals with cross-functional teams for regulatory submissions Preparation of Labelling related documents ex: SmPC, PIL and Labelling texts for submission in EU region. Coordinating with the different stakeholders for timely labeling related submission/approval and query solving. Proofreading all types of label copy/annotation/etc. at all developmental stages as well as final label copy to ensure accuracy of labeling Creation of SPL for US Human and Vet product submissions, drug listing, annual establishment registration and annual self-identification for GDUFA Monitor and process innovator-labeling updates for existing generic products and ensure compliance with innovator updates, including side-by-side comparison with RLDs Responsible for coordination of CCDS development and updates of PCC products and coordination of local labeling updates Contribute to the development and/or review of all labeling aspects included in Promotional Material. Development and maintenance of a central repository for all labeling components Competencies Must have solid interpersonal and organization skills for interfacing with others. Knowledge of Health Authority labeling regulations and requirements. Self-directed, motivated, organized, flexible and accountable. Excellent work ethic with a positive, can-do attitude to succeed in a fast-paced environment. Project management skills is a plus About Us In the three decades of its existence, Piramal Group has pursued a twin strategy of both organic and inorganic growth. Driven by its core values, Piramal Group steadfastly pursues inclusive growth, while adhering to ethical and values-driven practices. Equal employment opportunity Piramal Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, ethnicity, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetics, or other applicable legally protected characteristics. We base our employment decisions on merit considering qualifications, skills, performance, and achievements. We endeavor to ensure that all applicants and employees receive equal opportunity in personnel matters, including recruitment, selection, training, placement, promotion, demotion, compensation and benefits, transfers, terminations, and working conditions, including reasonable accommodation for qualified individuals with disabilities as well as individuals with needs related to their religious observance or practice. About The Team Piramal Critical Care (PCC), under Piramal Pharma Limited (PPL), a subsidiary of Piramal Enterprises Limited, is the third largest producer of Inhaled Anaesthetics and a global player in hospital generics. Motivated by its vision to deliver critical care solutions for patients and healthcare providers across the globe, PCC is committed to enabling sustainable and profitable growth for all its stakeholders. PCC maintains a wide presence across the USA, Europe and more than 100 countries across the globe. Its rich product portfolio includes Inhalation Anaesthetics such as Sevoflurane, Isoflurane and Halothane as well as Intrathecal Baclofen therapy, for spasticity management. PCC has wholly-owned, state-of-the-art manufacturing facilities in the US and India that have successfully cleared periodical inspections by the US FDA, UK MHRA and other regulators. Its core strength lies in a highly qualified global workforce of more than 400 employees across 16 countries. PCC is focused on further expanding its global footprint through new product additions in the critical care space. Committed to corporate social responsibility alongside Piramal Group, PCC collaborates with various partner organizations and proudly takes an active role in providing hope and resources to those in need, as well as caring for the environment. Show more Show less

Join Preventai – Help Build the Future of AI-Powered Surveillance Position: Data Annotator (Part-Time / Remote / Entry-Level or Experienced) Location: Remote (Worldwide) At Preventai, we’re redefining how retail theft is detected. Our AI-driven video analytics platform integrates seamlessly with existing surveillance infrastructure to deliver real-time alerts and actionable intelligence. As we scale, we are expanding our dataset with high-quality, behavior-tagged video content — and that’s where you come in. We’re hiring Data Annotators to support the development of our machine learning models. This is a unique opportunity to be part of a precision-critical pipeline in one of Sweden’s fastest-growing AI startups. ⸻ What You’ll Do: You will work with 30-minute surveillance-style video clips and perform the following tasks: • Time-Based Activity Annotation: Segment and label theft vs normal activity in 10-second intervals. • Individual Behavior Labelling: Trim irrelevant scenes and filter out bystanders, focusing on accurately tagging actions of interest. • Context Awareness: Evaluate behavior within real retail scenarios and assign meaningful labels that help our AI systems learn. ⸻ Who You Are: • Sharp eye for behavioral detail and scene context. • Comfortable working independently and meeting clear annotation targets. • Reliable, focused, and comfortable doing repetitive work with precision. • Bonus if you have: • Exposure to Machine Learning or Computer Vision concepts. • Prior experience with video annotation tools or labeling platforms. ⸻ Why Join Preventai? • Be part of an applied AI project that has real impact in the physical world. • Fully remote work with flexible scheduling. • Clear training and task documentation provided. • Potential to grow with us in more technical or supervisory roles over time. ⸻ Want to Stand Out? Applicants who include a short personal message telling us about themselves and why they’re interested in this role will be prioritized for immediate onboarding. Apply directly here on LinkedIn or send your CV and note to: stellan@inframotionlabs.com Show more Show less

Additional Information Job Number 25087002 Job Category Food and Beverage & Culinary Location Indore Marriott Hotel, H-2, Scheme No 54, Indore, Madhya Pradesh, India, 452010VIEW ON MAP Schedule Full Time Located Remotely? N Position Type Non-Management Position Summary Supervise and coordinate operations are in compliance with hygiene and food safety standards. Advises on proper food handling practices and provides food hygiene training for all new hires and trainees. Identifies key areas of risk in various food operations and takes preemptive remedial action. Provides technical advice on product labeling issues for fulfilling government requirements. Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees. Follow all company and safety and security policies and procedures; report maintenance needs, accidents, injuries, and unsafe work conditions to manager; complete safety training and certifications. Ensure uniform and personal appearance are clean and professional; maintain confidentiality of proprietary information; protect company assets. Address guests’ service needs. Speak with others using clear and professional language. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Ensure adherence to quality expectations and standards. Stand, sit, or walk for an extended period of time. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move, lift, carry, push, pull, and place objects weighing less than or equal to 25 pounds without assistance. Perform other reasonable job duties as requested by Supervisors. Preferred Qualification Education: Bachelor’s degree from accredited university or college in Environmental Health or Culinary. Related Work Experience: 2 to 4 years of related work experience. Supervisory Experience: At least 1 year of supervisory experience. License or Certification: None At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. Show more Show less

Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

Job Description To follow the safety rules in the premises according to the company norms. To ensure timely completion of SOPs training and on the job trainings related to production department. To review and maintain the training related log books in the department. To Coordinate new joiners for internal and cross functional trainings in coordination with cross functional departments. To coordinate with QA documentation cell for issuance of required documents and submission of completed documents. To prepare the SOP index, Equipment index and format index as per the frequency of QA001, QA007and QA002. To update the schedule manager for SOP related activities (to update SOP effective dates). To upload the SOPs in AIMS (Amneal information management software). To close the training record of employees who left the organization. Preparation of cGMP planner for contractual employees of production department. Operation and cleaning of visual inspection table and Operation of Lux meter. Responsible for Operation and cleaning of Automatic visual inspection machine and X-RAY inspection machine. Responsible to perform visual inspection of the products /media filled vials or PFS as per the sop. Responsible for Maintenance of cleaning in visual inspection. Activities other than defined in the job responsibility are to be done, as per the requirement of HOD, by Following HODs instructions and guidance. Monitoring of DP, RH and temperature area in their visual inspection and packing area. Responsible for Maintenance of cleaning in visual inspection and packing area. To maintain the BMRs and other log books in the visual inspection and packing area as per cGMP and SOP. Operation and cleaning of dynamic pass box in visual inspection and packing area. Responsible for Operation and Cleaning of Wrap around labeling machine, Autocartonator machine, Online check weigher, track and trace system, Bopp taping machine with weighing balance and PFS packing area machines. Responsible for Dispensing, checking and receiving of the packing materials from warehouse on need basis. Responsible for labeling and packing of products as per BPR. Responsible for timely completion of calibrations and validations in coordination with EN and QA related to visual inspection and packing area. To handle Quality Management Documents like Change Control, Deviation etc. Job Description Version No:4 Generated By/On: Sanjay Mukhekar [309175] 24-May-2025 12:47:40 PM This is system generated document hence signature is not required. 1 JOB RESPONSIBILITY To prepare Failure Investigation Reports against Quality impacting deviations, Out-of- Specifications and Non-Conformances. To ensure investigations are evaluated and closed out in a timely manner to meet business needs. Responsible for cGMP compliance related to CAPA implementation and to ensure the timely closure of CAPA. To review, develop and introduce systems, practices and cultural changes that enable the department to meet business demands within agreed time frames and expected GXP standards. To perform risk analysis for different process or procedures and implement necessessory mitigation plans through Quality Risk Management (QRM). To provide direct input or coaching support for other functional groups in investigations. To prepare and review of Standard Operating Procedures / Protocols. To perform Gap analysis of defined procedures in Batch Manufacturing Record / Batch Packing Record / Standard Operating Procedure / Protocol and initiation of corrective actions. To participate in Regulatory & Customer Audits. To prepare BMR and BPR. Timely completion of SOPs training and On the job trainings related to respective area Qualifications Qualification - B.Pharmacy, M.Pharmacy About Us Amneal is an Equal Opportunity Employer that does not discriminate on the basis of sex, age, race, color, creed, religion, national origin, sexual orientation, gender identity, genetic information, disability, veteran status, liability for service in the U.S. Armed Forces or any other characteristic protected by applicable federal, state, or local laws. About The Team The Human Resources team partners with all aspects of the organization, driving success through the effective and innovative management of people for both current and future business needs. Key Roles That The Human Resources Team Performs Executive Role: Specialists in all aspects of people management. High-level input at strategic level into all key business decisions. Audit Role: Ensures all areas of the organization are compliant with legal requirements AND best practice employment policies and procedures. Facilitator Role: Close partnership to support, advise and extend the ability of all areas of the organization to meet their objectives through implementation of highly effective employment practices in areas such as Talent Acquisition, Learning and Development, Reward systems, Performance Management, Health and Wellbeing. Consultancy Role: Provide expert advice to the organization and it’s managers on any aspect of workforce management and employee relations and performance. Service Role: Ensure the organization is fully aware of and is equipped to deal with developments impacting employment matters, such as changes in legislation, changes in the characteristics of the labor market. Show more Show less

Job Description To follow safety rules in the premises according to the company norms Responsible to perform the in process checks during operation. Responsible for Operation and Cleaning of Wrap around labeling machine, Autocartonator machine, Online check weigher, track and trace system, Bopp taping machine with weighing balance and PFS packing area machines. Responsible for Dispensing, checking and receiving of the packing materials from warehouse on need basis Responsible for labeling and packing of products as per BPR Responsible for timely completion of calibrations and validations in coordination with EN and QA related to visual inspection and packing area Operation and cleaning of visual inspection table and Operation of Lux meter Responsible for Operation and cleaning of Automatic visual inspection machine and X-RAY inspection machine Responsible for the co-ordination with cross functional departments like QA,QC, warehouse Engineering,MB,HR and administration for the day to day activities ., Responsible to perform visual inspection of the products /media filled vials or PFS as per the sop Responsible to perform the in process checks during operation. Responsible for decartoning activity. Timely completion of SOPs training and On the job trainings related to visual inspection and packing area. Responsible for Maintenance of cleaning in visual inspection and packing area. Monitoring of DP, RH and temperature area in their visual inspection, packing area. To maintain the BMRs and other log books in the visual inspection and packing area as per cGMP and SOP. Qualifications Qualification - B.Pharmacy, M.Pharamacy Experience - 3 to 5 yrs Show more Show less