2884 Labeling Jobs - Page 5

A Picker Packer fulfills customer orders by selecting items from warehouse inventory and preparing them for shipment. This involves accurately picking items, packing them securely, and labeling them for delivery. They also ensure the items are properly packaged to prevent damage during transit.

A Picker Packer fulfills customer orders by selecting items from warehouse inventory and preparing them for shipment. This involves accurately picking items, packing them securely, and labeling them for delivery. They also ensure the items are properly packaged to prevent damage during transit.

Job Description Warehouse Supervisor / Field Manager Job Summary: We are looking for a reliable and experienced Warehouse Supervisor / Field Manager to oversee daily operations in our UPS battery warehouse. The ideal candidate will have a strong background in inventory control, store management, and logistics, with the ability to lead a small team efficiently. Key Responsibilities Manage and supervise all warehouse/store operations. Maintain accurate stock records (inward/outward) of UPS batteries and related materials. Handle goods receipt, dispatch, packing, and labeling. Monitor and maintain inventory levels and order stock as needed. Coordinate with purchase, sales, and logistics teams. Ensure timely loading/unloading and proper storage of items. Conduct regular stock audits and cycle counts. Keep the store area clean, organized, and compliant with safety standards. Maintain records in Excel Supervise helpers/labor and report daily activities to management. Ensure smooth inward/outward flow of materials with proper documentation (GRN, DC, invoice, etc.) Requirements:4–5 years of experience in warehouse/store handling, preferably in the UPS battery or electrical field. Graduate with Diploma in Logistics, Warehouse Management, or related field. Basic computer knowledge (Excel, email, etc.) Strong communication and organizational skills. Must own a bike for local coordination and site visits. Benefits:Salary: ₹25,000 to ₹27,000/month (based on experience) Performance-based incentives (if applicable) Job Type: Full-time Pay: ₹25,000.00 - ₹27,000.00 per month Schedule: • Day shift Education: • Diploma (Preferred) & bike Experience: • total work: 4-5 year (Preferred) Work Location: In person Job Type: Full-time Pay: ₹25,000.00 - ₹27,000.00 per month Willingness to travel: • 50% (Preferred) Work Location: In person

Job Requirement: • BPharma/DPharma completed . • Delhi registered Candidates get preference. • Experience required: 1 Year to 5 Years. Job description Review and execute physician’s prescriptions checking their appropriateness and legality Organize the pharmacy in an efficient manner to make the identification of products easier and faster Maintain full control over delivering, stocking and labeling medicine and other products and monitor their condition to prevent expiring or deterioration Listen carefully to customers to interpret their needs and issues and offer information and advice Provide assistance other medical services such as injections, blood pressure/ temperature measurements etc. Prepare medicine when appropriate using correct dosages and material for each individual patient Keep records of patient history and of all activities regarding heavy medication Keep abreast of advancements in medicine by attending conferences and seminars and collaborating with other healthcare professionals Comply with all applicable legal rules, regulations and procedures Salary slab : 18k to 22k per month. 9 hour shift followed by 6 days working in a week Openings for Janakpuri. Have any query call on : 8287865886 HR Dept World Brain Center Hospital www.wbcindia.in

Dispense prescription and over-the-counter (OTC) medicines accurately. Interpret prescriptions and check dosage, usage, and interactions. Counsel customers on dosage, possible side effects, and storage of medicines. Maintain inventory and order medicines as required. Ensure safe and secure storage of all pharmaceutical products. Maintain sales and purchase records as per statutory requirements. Ensure cleanliness, labeling, and stock rotation in the pharmacy. Comply with drug laws, regulations, and store policies.Good knowledge of medicines and pharmaceutical products. Excellent communication and customer service skills. Attention to detail and ability to maintain accurate records. Best knowledge of billing software like Marg.

Company Description We suggest you enter details here. Role Description This is a full-time role for a Labelling Machine Operator located on-site in Una. The Labelling Machine Operator will be responsible for operating labeling machinery, maintaining the machines, ensuring quality control standards, and completing routine checks. Daily tasks include setting up the machine, checking for defects, troubleshooting issues, and adhering to safety protocols. Strong adherence to standard operating procedures and effective communication with team members are essential. Qualifications Experience in Machine Operation and working with various types of Machinery Knowledge of Quality Control procedures Ability to use Hand Tools for minor machine repairs and adjustments Effective Communication skills High attention to detail and strong problem-solving skills Ability to work independently and as part of a team Relevant technical certification or diploma is a plus

Job Title:CSSD Technician Branch Name:Brain and Spine Medcity Qualification:Diploma in CSSD Experience :2 years Location:Kannur Employment Type: Full time Department:Neurorehabilitation Requirements Sterilization techniques (autoclaving, ETO, etc.) Cleaning and disinfection of instruments Knowledge of infection control protocols Proper handling of surgical instruments Packing and labeling of sterile supplies Operation of sterilization equipment Attention to detail and accuracy Record-keeping and documentation Time management and efficiency Teamwork and coordination with OT and wards

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Role description: Amgen is seeking a Regulatory Affairs Associate Director supporting lifecycle management for approved, mature products across all Amgen Therapeutic Areas. Global Regulatory Affairs (GRA) provides global regulatory leadership, expertise, and execution for the development, registration, and life cycle management of all Amgen molecules. In this important, product-facing role you will lead assigned Global Regulatory Teams (GRT) in the Regulatory Affairs organization. The role of the Regulatory Affairs Associate Director is to lead GRTs within Amgen’s GRAAS organization, develop a comprehensive regulatory strategy that takes into account worldwide regulatory requirements, maintain compliance with global registrations, maintain labeling, oversee effective regulatory agency interactions, and provide regulatory expertise and guidance to product teams. Key Responsibilities: Develop and execute the global regulatory product strategy Lead GRTs Represent Regulatory on the product team and other key cross-functional teams and commercialization governance bodies Obtain input from the GRT members to develop a global regulatory strategy which supports lifecycle maintenance. Identify and communicate regulatory risks Develop strategies and plans to maintain regulatory approvals and product labeling Provide regulatory direction in the development of the core data sheet in the context of available and expected scientific data, regulatory guidance and precedent Lead the planning and implementation of global regulatory filings (e.g. label extensions, CMC changes) Ensure consistency of evidence-based global product communication (e.g. regulatory submission documents) Monitor and assess impact of relevant global regulations, guidance, and current regulatory environment Ensure guidance on regulatory mechanisms to optimize lifecycle management is assessed and incorporated into the global regulatory strategy Communicate consistently well defined, successful regulatory strategies throughout the organization such that expectation is understood Ensure effective regulatory agency communications by leading core regulatory and cross functional teams (e.g. GRTs, filing teams) Attend key regulatory agency meetings which could impact the global product strategy Represent Amgen Regulatory on external partnership teams at the product level Basic Qualifications and Experience: We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications. Doctorate degree and 3 years of regulatory experience in biotech or science Or Master’s degree and 6 years of regulatory experience in biotech or science Or Bachelor’s degree and 8 years of regulatory experience in biotech or science Soft Skills: Ability to lead effective teams Strong communication skills - both oral and written Ability to understand and communicate scientific/clinical information Ability to anticipate and mitigate against future issues & uncertainties Ability to resolve conflicts and develop a course of action Cultural awareness and sensitivity to achieve global results Planning and organizing abilities Able to prioritize and manage multiple activities Ability to make decisions and solve problems Ability to deal with ambiguity EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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. Please contact us to request an accommodation.

Sr Manager - Gen Med / Biosims International Regulatory Lead The Senior Manager of Regulatory Affairs at Amgen oversees regulatory compliance initiatives within the company. They are responsible for ensuring all company procedures and products adhere to state and federal regulatory requirements. Group Purpose International Regulatory Affairs provides regulatory leadership/ expertise for the development, registration, and lifecycle management of all Amgen molecules. Job Summary The International Regulatory Lead (Sr. Manager) is assigned to lead one or more Amgen products. The product(s) assigned have complex programs/strategies and high impact to Amgen. Provide Guidance and Leadership on mechanisms to optimize product development and regulatory approvals. Develop the international regulatory strategy and contribute to Global regulatory plans. Support regulatory product compliance (e.g. RIM, PMCs, ESC levels, and agency commitments). Support and advise on the local label strategy and alignment to cCDS/reference label. Build effective relationships and communication paths across global, regional, local, and functional organizations. Enable efficiencies and seamless execution across the international countries. Provide SME support to process improvement projects, as assigned. KEY ACTIVITIES Strategy & Execution Advises Global teams on regulatory implications and requirements relevant to the global clinical development/Marketing Applications plans and objectives. Provides regulatory direction/expertise on the international regulatory mechanisms to optimize product development (e.g. expediting FIH studies, Orphan Drug Designation, expedited regulatory designations, compassionate use and pediatric plan). With minimal supervision, plans regulatory submissions (e.g. clinical trial, marketing authorization applications and lifecycle management) for products within Amgen's portfolio. With minimal supervision, contributes to the development of international regulatory strategy documents (regulatory product filing plan, strategies, risks associated with the potential Agency outcomes and contingency planning, estimate likelihood of success) and communicates to others, as appropriate. Provides and maintains CTA/MA documentation. May author documents/redact documents to support a regulatory filing. Leads the internal discussions related to Agency meetings and in accordance with GRT strategy (and communicates outcomes back to GRT and others, as applicable). Directs the development of the international product label by collaborating with the Labeling Working Group to define commercial objectives in the context of available and expected scientific data, regulatory guidance, precedents and competitor labeling. Manages the international label submission strategy, leads negotiation activities with cross-functional teams, and is accountable for label deviation requests and outcomes. Supports Local Regulatory teams in triaging queries from health authorities and, where appropriate, helps identify existing responses to same or similar questions, leveraging knowledge management. Advises and supports other groups on the review of promotional and non-promotional materials, as needed. Supports process improvement initiatives and metrics. Communication & Collaboration Participates as a member of the Global Regulatory Team (GRT), Evidence Generation Team (EGT), Labeling Working Group (LWG), Clinical Study Team (CST), and others, as applicable. Shares regulatory information and implications with the GRT and other global teams on an ongoing basis and provides advice on international considerations. Participates in LWG/ELB meetings with advice on local deviation requests. Partners with the peers to agree on product strategy including projected submission and approval time. Maintains regular communications with the local teams to ensure alignment on strategy and keep the countries informed of status on product development. Partners with peers to ensure consistency in procedures. Builds effective relationships and communication paths across the Global and Local elements of the GRAAS function. Regulatory Research Maintains an awareness of new and developing legislation, regulatory policy and technical Regulatory guidance relating to Amgen products. Performs regulatory research to obtain relevant histories, precedence, and other information relevant to regional product advancement. Mentoring Mentors and/or advises other International Regulatory Leads at more junior levels. Knowledge & Skills Scientific & Technical Knowledge of Regulatory principles. Working with policies, procedures and SOP’s. Comprehensive understanding of regulatory activities and how they impact other projects and/or processes. General knowledge of national legislation and regulations relating to medicinal products. General awareness of the registration procedures/challenges in the region for CTAs, MAs and all lifecycle management activities. Knowledge and experience in the international regulatory environment relevant for product area and development stage. Understanding of drug development. Able to anticipate regulatory Agency questions and potential responses. Others Demonstrate strong teamwork ability. Good communication skills - both oral and written. Good negotiation and Influencing skills. Ability to understand and communicate scientific/clinical information. Ability to anticipate and prevent potential issues. Ability to resolve conflicts and develop a course of action leading to a beneficial outcome. Cultural awareness and sensitivity to achieve results across both regional, country and international borders. Education & Experience Doctorate OR Master’s degree (scientific area) and 6 years of directly related experience OR Bachelor’s degree (scientific area) and 8 years of directly related experience Experience (Preferred) Degree and in-depth regulatory experience and/or related to the region. In-depth knowledge of regional countries' legislation and regulations relating to medicinal products.

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Build scalable frameworks to manage infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create service catalog components compatible with automation platforms like Backstage Integrate generative AI models to improve service catalog functionalities, including automated code generation and validation Architect CI/CD pipelines for automated build, test, and deployment processes Maintain deployment automation scripts utilizing technologies such as Python or Bash Implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Employ AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines to stream real-time operational insights that support AI-driven automation Build MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Select appropriate LLM models for specific AIOps use cases and integrate them effectively into workflows Collaborate with cross-functional teams to design and refine automation and AI-driven processes Research emerging tools and technologies to enhance operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven track record in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Background in Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of comprehensive AIOps processes to refine cloud-based automation solutions

Description GlobalLogic is seeking motivated, intelligent, and detail-oriented individuals to join our team as Associate Analysts. This role involves data labeling and annotation to support the development of AI and machine learning models. No prior data annotation experience is required—comprehensive training will be provided. If you have basic computer knowledge and are comfortable using Microsoft Office or Google Suite, this is a great opportunity to begin or advance your career in the AI/ML industry. Requirements Bachelor’s degree in any discipline Basic computer proficiency and comfort with MS Office or Google Suite Strong focus, attention to detail, and ability to perform repetitive tasks Quick learner with a problem-solving mindset Willingness to work from office (mandatory) Open to rotational shifts in a 24/7 work environment A strong interest in AI, data processing, or machine learning High level of reliability, adaptability, and initiative A readiness to contribute in a high-volume, quality-driven team environment Job responsibilities Manually label data points including text, audio, video, and images, following clear guidelines and instructions. Ensure accuracy and consistency in annotated data by adhering to predefined quality standards. Understand and interpret tasks clearly with strong written and verbal communication skills. Apply reading, writing, and listening skills to interpret and describe different types of content effectively. Perform repetitive tasks with high levels of focus and attention to detail. Troubleshoot annotation-related challenges with critical thinking and problem-solving skills. Work efficiently in a fast-paced environment, managing tight deadlines and large-scale datasets. Be open to assisting with non-personal data collection (e.g., capturing images or audio clips of objects like receipts, books, vehicles, roads, buildings, etc.). Quickly adapt to new annotation tools or software platforms. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

We are seeking an experienced Lead Platform Engineer to join our Automation Engineering team. The ideal candidate will excel in cloud infrastructure automation, generative AI, and machine learning, with a strong foundation in DevOps practices and modern scripting tools. This role involves designing cutting-edge AI-driven solutions for AIOps while innovating cloud automation processes to optimize operational efficiency. Responsibilities Design and develop automated workflows for cloud infrastructure provisioning using IaC tools like Terraform Build frameworks to support deployment, configuration, and management across diverse cloud environments Develop and manage service catalog components, ensuring integration with platforms like Backstage Implement GenAI models to enhance service catalog functionality and code quality across automation pipelines Design and implement CI/CD pipelines and maintain CI pipeline code for cloud automation use cases Write scripts to support cloud deployment orchestration using Python, Bash, or other scripting languages Design and deploy generative AI models for AIOps applications such as anomaly detection and predictive maintenance Work with frameworks like LangChain or cloud platforms such as Bedrock, Vertex AI, and Azure AI to deploy RAG workflows Build and optimize vector databases and document sources using tools like OpenSearch, Amazon Kendra, or equivalent solutions Prepare and label data for generative AI models, ensuring scalability and integrity Create agentic workflows using frameworks like Langraph or cloud GenAI platforms such as Bedrock Agents Integrate generative AI models with operational systems and AIOps platforms for enhanced automation Evaluate AI model performance and ensure continuous optimization over time Develop and maintain MLOps pipelines to monitor and mitigate model decay Collaborate with cross-functional teams to drive innovation and improve cloud automation processes Research and recommend new tools and best practices to enhance operational efficiency Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field 7+ years of experience in cloud infrastructure automation, scripting, and DevOps Strong proficiency in IaC tools like Terraform, CloudFormation, or similar Expertise in Python, cloud AI frameworks such as LangChain, and generative AI workflows Demonstrated background in developing and deploying AI models such as RAG or transformers Proficiency in building vector databases and document sources using solutions like OpenSearch or Amazon Kendra Competency in preparing and labeling datasets for AI models and optimizing data inputs Familiarity with cloud platforms including AWS, Google Cloud, or Azure Capability to implement MLOps pipelines and monitor AI system performance Nice to have Knowledge of agentic architectures such as React and flow engineering techniques Background in using Bedrock Agents or Langraph for workflow creation Understanding of integrating generative AI into legacy or complex operational systems

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Build scalable frameworks to manage infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create service catalog components compatible with automation platforms like Backstage Integrate generative AI models to improve service catalog functionalities, including automated code generation and validation Architect CI/CD pipelines for automated build, test, and deployment processes Maintain deployment automation scripts utilizing technologies such as Python or Bash Implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Employ AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines to stream real-time operational insights that support AI-driven automation Build MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Select appropriate LLM models for specific AIOps use cases and integrate them effectively into workflows Collaborate with cross-functional teams to design and refine automation and AI-driven processes Research emerging tools and technologies to enhance operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven track record in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Background in Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of comprehensive AIOps processes to refine cloud-based automation solutions

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Build scalable frameworks to manage infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create service catalog components compatible with automation platforms like Backstage Integrate generative AI models to improve service catalog functionalities, including automated code generation and validation Architect CI/CD pipelines for automated build, test, and deployment processes Maintain deployment automation scripts utilizing technologies such as Python or Bash Implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Employ AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines to stream real-time operational insights that support AI-driven automation Build MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Select appropriate LLM models for specific AIOps use cases and integrate them effectively into workflows Collaborate with cross-functional teams to design and refine automation and AI-driven processes Research emerging tools and technologies to enhance operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven track record in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Background in Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of comprehensive AIOps processes to refine cloud-based automation solutions

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design, build, and maintain cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Develop scalable frameworks for managing infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create and integrate service catalog components with automation platforms like Backstage Leverage generative AI models to enhance service catalog capabilities, including automated code generation and validation Architect and implement CI/CD pipelines for automated build, test, and deployment processes Build and maintain deployment automation scripts using technologies such as Python or Bash Design and implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Utilize AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for building advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines for streaming real-time operational insights to support AI-driven automation Create MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Evaluate and select appropriate LLM models for specific AIOps use cases, integrating them efficiently into workflows Collaborate with cross-functional teams to design and improve automation and AI-driven processes Continuously research emerging tools and technologies to improve operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven experience in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Familiarity with Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of end-to-end AIOps processes to enhance cloud-based automation solutions

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design, build, and maintain cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Develop scalable frameworks for managing infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create and integrate service catalog components with automation platforms like Backstage Leverage generative AI models to enhance service catalog capabilities, including automated code generation and validation Architect and implement CI/CD pipelines for automated build, test, and deployment processes Build and maintain deployment automation scripts using technologies such as Python or Bash Design and implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Utilize AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for building advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines for streaming real-time operational insights to support AI-driven automation Create MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Evaluate and select appropriate LLM models for specific AIOps use cases, integrating them efficiently into workflows Collaborate with cross-functional teams to design and improve automation and AI-driven processes Continuously research emerging tools and technologies to improve operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven experience in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Familiarity with Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of end-to-end AIOps processes to enhance cloud-based automation solutions

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 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). Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Experience with creating complex data for LLM training and evaluation 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: A3027010

Description 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! The Prime Video Trust and Safety team ensures that Prime Video is a place for viewers, and creators around the world to belong, create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or enforcing worldwide policy, the Trust & Safety team is on the front lines of enhancing the PV experience and protecting customer experience in our ever-evolving digital world. As a Quality Team Manager, you are responsible for working with a team of Auditors, Associates, policy, program, engineering, legal and other teams to prevent violating content from appearing on the Prime Video platform. Your team of auditors will audit abuse trends and quality, and develop workflows and processes that maintain our quality/ community guidelines. Your teams will review decisions about the appropriateness of different content, including considerations of cultural and political sensitivities. This role will require on call work on weekends on a rotational basis. To be successful in this role you’ll need to be well organized, managing multiple Quality Auditors with different issues at any one time. Technically savvy with an interest in content moderation/data labeling, your verbal and written communication skills should be excellent, being able to clearly explain issues and the paths to resolution quickly and succinctly to the catalog associates. Your commitment to the success of our Trust & Safety org should be strong and you should have a proven record of exceeding on input/output goals. Key Job Responsibilities Manage a team on tasks associated to content moderation/rating and data labeling. Provides end to end support for optimization of Auditors/Sr. Associates. Leads and motivates the team to deliver on operational goals. Ensure removal of any roadblocks that hinder goal achievement with minimal supervision. Works with the team to build business reviews, share it within other stakeholder teams, peers, management on a regular basis. Proactively gathers, analyzes, and shares data with management to influence business decisions. Works with the team to identify and implement solutions and pilots to drive process efficiencies & business goals. Work closely with tech teams to get all internal tool related issues resolved. Exhibits & drives a culture of putting customer first with the team. Ensures timely response to all escalations. Support the team in maintaining a repository of all work done for customers within their team highlights wins and shares gaps in support with solutions with respective individuals. Basic Qualifications A completed Bachelor’s Degree from an accredited university. Work experience of 5+ years with 2years + experience in handling team experience including data analysis, change management, and Compliance and/or Risk Management. Strong proficiency in Microsoft Word, Excel, Outlook and aptitude for learning additional software tools Excellent communication and negotiation skills with the ability to face external and internal partners in a professional and mature manner, and strong ability to handle objections Flexible to work in rotational shifts. Preferred Qualifications Experience in managing a team of Quality Auditors Experience in Quality Control/Assurance (Six Sigma, Kaizen, DMAIC, Total Quality Management etc.) Experience in content moderation, data labeling, e-commerce. Experience in data analysis, either professional experience or through your education. Passionate about video content, online streaming platforms, online business, e-commerce. Desire to work in a fast-paced, challenging environment. 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 - BLR 14 SEZ Job ID: A3026204

Job Title: Store Executive Location: Umbergaon, Vapi, Gujarat Company: CleaNsep Systems Pvt. Ltd. Experience: 0–2 years Qualification:  B.Sc. (Chemistry)  B.Sc. (IT)  ITI Salary:  ₹15,000 per month Gross (for Freshers)  For Experienced Candidates: As per interview and merit Key Responsibilities:  Receive, inspect, and record incoming materials and equipment.  Issue materials as per project requirements.  Maintain stock records and inventory using Excel or ERP (if applicable).  Ensure proper storage, labeling, and safety of materials.  Assist in periodic physical stock audits.  Coordinate with purchase and production teams for material availability.  Maintain cleanliness and orderliness in the store area.  Report shortages, damages, or discrepancies immediately. Skills Required:  Basic computer skills (MS Office, Excel, Email handling)  Knowledge of inventory management  Good organizational and communication skills  Ability to work independently and take responsibility  Sincerity, punctuality, and discipline in work Note: We are looking for a sincere and dedicated candidate who is willing to learn and grow with the company. Contact: Priti S. Amruthwar priti@cleansep.com +91 9326922624 Job Types: Full-time, Fresher Pay: ₹15,000.00 per month Work Location: In person

Job Summary: The Senior Store Keeper is responsible for the efficient and effective management of store operations, including inventory control, stock management, documentation, and team supervision. This role ensures that all materials and goods are properly received, stored, and issued in a timely and organized manner to support operational needs. Key Responsibilities: Supervise and lead store staff, including junior storekeepers and assistants. Ensure accurate receiving, inspecting, and storage of incoming materials. Maintain stock levels by conducting regular inventory checks and audits. Manage and update inventory records using ERP or stock management systems. Coordinate with procurement and operations teams to forecast supply needs. Ensure proper labeling, binning, and classification of materials. Issue materials in accordance with request forms and internal procedures. Monitor stock expiry, damages, or obsolescence and report accordingly. Ensure compliance with safety and cleanliness standards in the storage area. Prepare daily, weekly, and monthly reports on stock movement and availability. Assist in the development and implementation of store procedures and policies. Ensure security of inventory and prevent theft or loss. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Food provided Provident Fund Schedule: Fixed shift Work Location: In person

About Xpanse Coffee: At Xpanse Coffee, we blend the art of great coffee and continental cuisine with the precision of technology. As a tech-driven coffee chain, we’re redefining the café experience to meet the needs of today’s fast-paced world delivering quality, consistency, and efficiency at every touchpoint. Join us as we build a seamless and elevated café culture across our expanding network. Job Overview: As a Commis I , you will be a key part of our kitchen brigade, responsible for preparing high-quality food in accordance with our recipes and presentation standards. You will work closely with the culinary team to ensure a smooth, clean, and efficient kitchen operation that supports our commitment to excellence. Key Responsibilities: Assist in the preparation, cooking, and presentation of food items under the guidance of senior kitchen staff. Maintain consistency in taste, quality, and presentation as per Xpanse Coffee’s standards. Ensure all ingredients, tools, and stations are properly prepared and organized before each service. Follow food hygiene and safety standards strictly. Coordinate with the service team for timely delivery of food orders. Maintain cleanliness and organization of the kitchen work area. Receive and store kitchen supplies, checking for quality and freshness. Support inventory control by properly labeling and storing food items. Adhere to standard operating procedures and participate in training sessions. Qualifications & Skills: Diploma or certificate in Culinary Arts or relevant training. Minimum 2 years of kitchen experience in a café, restaurant, or hotel environment. Strong passion for food preparation and learning. Basic knowledge of kitchen equipment and food safety practices. Ability to work in a fast-paced, high-volume environment. Good communication skills and a team-oriented attitude. What We Offer: A dynamic and modern work environment. Opportunities for growth and skill development. Staff meals Being part of a forward-thinking and expanding brand. Accommodation Provided Job Type: Full-time Pay: ₹18,000.00 - ₹20,000.00 per month Work Location: In person

Job Title: Store Incharge / Inventory Incharge Location: Chandigarh Company: IndiaRentalz Department: Operations Reporting To: Operations Manager / About IndiaRentalz: IndiaRentalz is a fast-growing company specializing in the rental of laptops, desktops, MacBooks, gaming stations, and other tech equipment for individuals, startups, and corporates. We focus on delivering top-quality products with prompt service and excellent customer support. Job Objective: To ensure effective management, tracking, maintenance, and accountability of all IT rental inventory including laptops, desktops, gaming stations, and related accessories. Key Responsibilities:Inventory Management Maintain real-time inventory records of all incoming and outgoing rental items using ERP/Inventory software. Conduct regular physical stock audits and reconcile with system data. Tagging, labeling, and barcoding of equipment. Store Operations Ensure cleanliness, orderliness, and security of the store. Organize the store for quick and easy access to all SKUs. Coordinate loading/unloading of inventory with delivery teams. Track damaged or faulty items, arrange repair/replacement, and log all issues properly. Dispatch & Returns Prepare and verify items for dispatch based on rental orders. Ensure proper packaging and labeling before delivery. Receive returned equipment, inspect for damage, and update system records accordingly. Coordination Coordinate with Sales, Accounts, and Technical teams for stock availability and dispatch schedules. Reporting & Documentation Generate daily/weekly inventory and movement reports. Maintain all inward/outward registers, delivery challans and checklists. Flag any shortage, excess, or misplacement immediately. Key Skills & Requirements: Minimum 1–2years of experience in inventory/store management. Knowledge of stock-keeping, asset tagging, and basic IT hardware is a must. Basic MS Excel and documentation skills. Strong attention to detail, accountability, and organizational skills. Preferred Qualification: Knowledge in Inventory Management, Logistics, or related field. Working Days & Hours: Monday to Saturday | 10:00 AM – 6:30 PM Job Type: Full-time Pay: ₹15,000.00 - ₹22,000.00 per month Experience: inventory/store incharge: 1 year (Required) License/Certification: knowledge of inventory management (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

Job Title: Spare Parts Incharge Location: Roverz Motors – Chennithala, Mavelikkara Company: Roverz Motors (Royal Enfield Authorized Dealer) Job Overview: We are looking for a responsible and well-organized Spare Parts Incharge to manage the inventory, ordering, and supply of spare parts at our Chennithala showroom. The ideal candidate should have good knowledge of automobile spare parts (preferably two-wheelers), stock management, and customer handling. Key Responsibilities: Maintain proper stock levels of all spare parts and accessories Monitor daily stock movements and update inventory records Place orders with vendors and coordinate timely delivery Ensure proper storage, labeling, and arrangement of parts Coordinate with service advisors and technicians for parts requirements Issue parts against job cards accurately and efficiently Conduct regular physical stock audits and reconcile discrepancies Maintain records of parts used, returned, or damaged Assist customers with spare part inquiries and walk-in purchases Prepare daily and monthly stock reports for management review Qualifications & Skills: Minimum 1–2 years of experience in spare parts or inventory handling (automobile industry preferred) Good knowledge of two-wheeler parts, especially Royal Enfield models Basic computer skills (MS Excel, billing software, inventory tools) Strong organizational and communication skills Ability to handle pressure and multitask To Apply: Send your resume to hr@roverzmotorbikes.com Contact: +91 92880 21750 Job Type: Full-time Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Paid time off Work Location: In person

Welcare Hospital is looking for a skilled and compassionate Phlebotomist to join our dedicated team. If you have a passion for patient care and hands-on expertise in blood sample collection, we’d love to hear from you. Position Details: Position : Phlebotomist (Strictly Phlebotomy role only) Qualification : DMLT or Certified Phlebotomy Training Experience : Minimum 1 year of phlebotomy experience preferred Key Skills : Expert in blood collection from adults and pediatric patients Knowledge of sample labeling, transport, and infection control Patient-friendly communication and hygiene practices Important Note: This vacancy is only for the role of Phlebotomist . Please do not apply if you are seeking a Lab Technician position. Job Type: Full-time Pay: ₹16,000.00 - ₹25,000.00 per month Work Location: In person

Job Summary: We are seeking a motivated and detail-oriented Production Assistant to support the daily operations of our ice cream production line. The candidate will assist in production processes, maintain hygiene standards, and ensure timely delivery of quality products. Key Responsibilities: Assist in the preparation and mixing of ice cream ingredients as per recipes. Operate, clean, and maintain production machinery and equipment. Monitor product quality during the production process. Ensure proper labeling and packaging of ice cream products. Maintain cleanliness and hygiene in the production area at all times. Follow Good Manufacturing Practices (GMP) and food safety regulations. Support inventory management by checking raw materials and packaging supplies. Report any equipment malfunctions or product issues to supervisors. Adhere to company safety policies and procedures. Requirements: 1-3years in a food production or FMCG industry Experience in cold storage, dairy, ice cream, or beverage production is a strong plus . B.Tech / B.Sc in Food Technology, Dairy Technology, or Master’s Degree in Food Technology ITI or Mechanical stream is a plus Ability to work in cold environments Physically fit and able to lift moderate weights Basic knowledge of hygiene and safety standards. Good communication and teamwork skills. Team player with good discipline and punctuality Basic reading/writing skills in English or local language · Candidates with no major health issues (sensitive to cold, allergies, etc.) To Apply: Interested candidates can submit their resume to hr.rajadhani1@gmail.com Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Food provided Paid time off Work Location: In person