Job Title: Document AI Annotator (Invoices & Receipts), 3 months contractual, WFO, Immediate Joining, Graduate Mandatory Job Description: We are seeking detail-oriented annotators to support a Document AI project focused on labeling and annotating key fields in financial documents such as invoices, receipts, and bills. The role involves accurately tagging data fields (e.g., date, total amount, vendor name, tax) to help train AI models for automated document processing. Key Responsibilities:  Review and annotate invoices, receipts, and similar documents using annotation tools  Identify and label key data points (e.g., invoice number, total, tax, date, line items)  Ensure accuracy and consistency in annotations  Meet daily/weekly productivity and quality targets  Collaborate with QA and project leads for feedback and clarification Requirements:  Basic understanding of financial documents (invoices, receipts, etc.)  Strong attention to detail  Familiarity with annotation tools preferred(Bounding Box)  Ability to follow guidelines and adapt to feedback Job Types: Full-time, Contractual / Temporary Contract length: 3 months Pay: ₹10,000.00 - ₹11,000.00 per month Schedule: Rotational shift Work Location: In person

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: A2966261 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: A2966014 Show more Show less

TA/SME - on M365 suite /Security M365 Suite Management Oversee the administration, configuration, and optimization of Microsoft 365 applications, including Exchange Online, SharePoint, Teams, and OneDrive. Data Governance Develop and implement data governance policies and procedures to ensure data integrity, security, and compliance across the organization. Microsoft Purview Expertise Utilize Microsoft Purview to manage and protect sensitive data, ensuring compliance with regulatory requirements and internal policies. Design and Implementation Design and implement solutions that leverage M365 and Purview capabilities to meet business needs, including data classification, labeling, and retention policies. Collaboration Work closely with IT, security, and business teams to understand requirements and deliver effective solutions. Training and Support Provide training and support to end-users and IT staff on M365 and Purview functionalities and best practices. Continuous Improvement Stay up-to-date with the latest M365 and Purview features and updates, and continuously seek opportunities to enhance the organization's use of these tools. Qualifications Education Bachelor's degree in Computer Science, Information Technology, or a related field. Experience Minimum of [X] years of experience in managing Microsoft 365 environments, with a focus on data governance and Microsoft Purview. Certifications Relevant certifications such as Microsoft Certified Security, Compliance, and Identity Fundamentals, Microsoft Certified Information Protection Administrator Associate, or similar. Skills Strong understanding of M365 applications and services. Expertise in data governance, data protection, and compliance. Proficiency in Microsoft Purview and its capabilities. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to design and implement effective solutions. Show more Show less

Hiring: Part-Time Sales & Packaging Assistant Location: [Faridabad,haryana] | Part-time | On-site We’re a growing business expanding into online sales and looking for a dependable part-time assistant. You’ll manage product listings, help promote products online, and assist with packaging and labeling orders. What you'll do: List and update products Respond to customer inquiries and promote products online Print shipping labels and apply product tags Pack and label orders What we’re looking for: Some experience with online selling or eagerness to learn Comfortable with tools like Google Docs and social media Reliable and able to help with light packaging tasks Show more Show less

Sanas is revolutionizing the way we communicate with the world’s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we’ve successfully secured over $100 million in funding. Our innovation have been supported by the industry’s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you’re not just adopting a product; you’re investing in the future of communication. We’re looking for a sharp, hands-on Data Engineer to help us build and scale the data infrastructure that powers cutting-edge audio and speech AI products. You’ll be responsible for designing robust pipelines, managing high-volume audio data, and enabling machine learning teams to access the right data — fast. As one of the first dedicated data engineers on the team, you'll play a foundational role in shaping how we handle data end-to-end, from ingestion to training-ready features. You'll work closely with ML engineers, research scientists, and product teams to ensure data is clean, accessible, and structured for experimentation and production. Key Responsibilities : Build scalable, fault-tolerant pipelines for ingesting, processing, and transforming large volumes of audio and metadata Design and maintain ETL workflows for training and evaluating ML models, using tools like Airflow or custom pipelines Collaborate with ML research scientists to make raw and derived audio features (e.g., spectrograms, MFCCs) efficiently available for training and inference Manage and organize datasets, including labeling workflows, versioning, annotation pipelines, and compliance with privacy policies Implement data quality, observability, and validation checks across critical data pipelines Help optimize data storage and compute strategies for large-scale training Qualifications : 2–5 years of experience as a Data Engineer, Software Engineer, or similar role with a focus on data infrastructure Proficient in Python, SQL, and working with distributed data processing tools (e.g., Spark, Dask, Beam) Experience with cloud data infrastructure (AWS/GCP), object storage (e.g.,S3), and data orchestration tools Familiarity with audio data and its unique challenges (large file sizes, time-series features, metadata handling) is a strong plus Comfortable working in a fast-paced, iterative startup environment where systems are constantly evolving Strong communication skills and a collaborative mindset — you’ll be working cross-functionally with ML, infra, and product teams Nice to Have : Experience with data for speech models like ASR, TTS, or speaker verification Knowledge of real-time data processing (e.g., Kafka, WebSockets, or low-latency APIs) Background in MLOps, feature engineering, or supporting model lifecycle workflows Experience with labeling tools, audio annotation platforms, or human-in-the-loop systems Joining us means contributing to the world’s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. You'll be part of a team exploring the vast potential of an increasingly sonic future Show more Show less

Manager, Packaging This position is responsible for the Quality of a Packaging Department in India. An individual in this position will be expected to perform additional job-related responsibilities and duties as assigned and/or necessary. Essential Functions An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation. Manages continuous improvement and packaging innovation by reviewing and analyzing internal processes to highlight opportunities for cost reductions and process efficiencies; developing and continually reviewing objectives that refine business processes to maximize end-to-end efficiency and member value; keeping up-to-date on technology and packaging industry standards; managing packaging solutions and requirements to address innovation in distribution automation; and working upstream to reduce packaging issues by key stakeholders. Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning. Supports packaging production by evaluating and appointing packaging resources based on production capabilities, geographic locations, quality control processes, container loading saving, innovation, FSC conversion project, equipment specifications, color management, and costs; analyzing key metrics; advising on packaging industry standards of cost estimates and the employment of packaging suppliers; and conducting cost negotiations in support of new and existing packaging elements. Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and ensuring diversity awareness Manages and develops packaging copy content for Member’s Mark by collaborating with the design team and cross-functional business partners to ensure consistency across the brand portfolio; managing, prioritizing, and assigning copy projects; managing and writing complex packaging content; and establishing the communication objectives and style for Member’s Mark. Ensures compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. Resolves issues with packaging content by identifying discrepancies; determining needed resources; collaborating with business partners to develop solutions; implementing solutions or contingency plans; and establishing work processes, best practices, and standards for the packaging team. Develops external communications to ensure the consistent global execution of packaging specifications by collaborating with cross-functional teams to ensure compliance with Walmart standards; preparing presentations to communicate packaging direction; and posting of reference materials for the supplier community to the Walmart information system. Key Skills The following key skills are required to perform one or more essential functions of this position. Packaging And Labeling, Process Improvement, Continuous Improvement Process, Packaging Quality, Structure Design, Communication… Leadership Expectations An individual must be proficient in each of the competencies listed below to successfully perform the responsibilities of this position Respect the Individual: Demonstrates and encourages respect for all; builds a high-performing, diverse team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and equitable experiences where associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best, diverse team members. Respect the Individual: Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer/member and company; and regularly recognizes others’ contributions and accomplishments. Respect the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action. Act with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving). Act with Integrity: Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates; takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values. Act with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent. Serve our Customers and Members: Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members. Serve our Customers and Members: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team’s strategy. Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks. Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working. Physical Activities The following physical activities are necessary to perform one or more essential functions of this position. Reads information, often in small print. Visually verifies information, often in small print. Creates documents, reports, etc., using a writing instrument (such as a pencil or pen) or computer. Communicates effectively in person or by using telecommunications equipment. Presents information to small or large groups and individuals. Enters and locates information on computer. Observes associate, customer, or supplier behavior. Travel Traveling is necessary to perform one or more essential functions of this position. Travels internationally to and from multiple facilities or work-sites requiring extended overnight stays. Entry Requirements Minimum Qualifications Bachelor’s degree in Packaging, English, or related field and +10 years’ experience in packaging industry, branding, packaging design/structure, retail, or related area. Preferred Qualifications Master's degree in Packaging, Branding, English, or related field. 10 years’ experience working with packaging structure design. 5 years’ experience working with furniture packaging. 2 years’ experience with Microsoft Office. 2 years’ supervisory experience. Sr Specialist or Manager or Sr Manager, Packaging Show more Show less

ONLY APPLY IF YOU'RE IN PUNE Exciting Internship Opportunity at Hari Krishna Mandir, Pune Location : Model Colony, Shivajinagar, Pune Duration : 6 months Stipend : Paid Internship About Hari Krishna Mandir Hari Krishna Mandir, a cherished 70-year-old ashram in Pune, holds a treasure trove of history. We are undertaking a heartfelt mission to archive and preserve our legacy. Spanning historical documents, textiles, photographs, videos, and audio recordings, this initiative is a bridge to safeguard our rich heritage for future generations. What You’ll Do As an Intern, you’ll contribute by: Digitizing : Transforming historical records and media into digital formats. Cataloging : Creating an organized system for easy access and preservation. Numbering & Labeling : Assigning identifiers to ensure precision in record-keeping. Preservation : Assisting in maintaining the physical integrity of invaluable artifacts. Language Editing: Listening to audio and video content and editing Google LLM transliterations in both Hindi and English . Who We’re Looking For This role is perfect for you if: You’re passionate about history, culture, and making an impact. You bring focus, attention to detail, and a love for organization. You can commit to 6 months of immersive learning and contribution. No prior experience? No worries! Training will be provided! Why Join Us? Work on a unique project that connects you to history. Gain hands-on experience in archiving and preservation techniques. Make a meaningful impact on preserving a legacy that matters. Apply now and be part of a story worth telling. Show more Show less

Job Title : Executive – Store Assistant Location : Gandhidham, Gujarat Industry : Manufacturing Department : Store / Inventory Management Experience : 1–2 years (Manufacturing industry – Store Department) Qualification : Graduate (Mandatory) Salary : ₹18000-25000 Per Month Key Responsibilities : Assist in receiving, storing, and issuing raw materials, spare parts, and finished goods Maintain accurate inventory records using software or manual systems Conduct physical stock verification and reconcile discrepancies Ensure proper tagging, labeling, and systematic storage of materials Prepare GRNs, issue slips, and related store documentation Coordinate with procurement, production, and accounts departments Maintain cleanliness, safety, and organization of the store area Assist in monthly/yearly stock audits Skills Required : Basic knowledge of storekeeping and inventory control Proficiency in MS Excel, ERP software (preferred) Good communication and coordination skills Accuracy in documentation and attention to detail Ability to work in a team and under supervision Contact: 9904582301 / 6358812301 Email your resume to: resume@theactivegroup.in Job Type: Full-time Pay: ₹18,000.00 - ₹26,000.00 per month Schedule: Rotational shift Language: English (Preferred) Shift availability: Day Shift (Preferred) Work Location: In person

Job Title : Packing Operator Location : Gandhidham, Gujarat Department : Packing / Production Industry : Manufacturing / FMCG / Edible Oil Salary : ₹18,000 – ₹32,000 per month Experience : 1+ Year Qualification : 10th Pass / 12th / ITI (preferred) Key Responsibilities : Operate packing machines to pack finished products as per company standards Ensure correct labeling, weighing, and sealing of packed products Maintain cleanliness and hygiene of packing area Inspect packaging materials for quality and report any issues Coordinate with production and warehouse teams for timely packing and dispatch Follow safety and quality guidelines during packing operations Record daily packing output and report to supervisor Skills Required : Basic knowledge of packing machines and operations Ability to work in a fast-paced production environment Attention to detail and quality-conscious Good teamwork and communication skills Contact: 9904582301 / 6358812301 Email your resume to: resume@theactivegroup.in Job Type: Full-time Pay: ₹18,000.00 - ₹32,000.00 per month Schedule: Day shift Work Location: In person

About the job Note: This is an unpaid internship opportunity. Please apply only if you are genuinely interested in learning and gaining experience in the Package Label & Social Media Poster Design Intern Job Opportunity: Package Label & Social Media Poster Design Intern Intern (Remote, Unpaid) This internship offers hands-on experience in visual design across print and digital platforms. You’ll work on real projects that will go live on packaging and across our social media channels. Job Type: Part-time Internship Duration: 3 months Location: Remote (Work from Home) Stipend: Unpaid Role Overview We are looking for a versatile design intern with a strong visual sense and a passion for both package label design and digital poster design. This role is ideal for someone who can adapt designs for physical packaging and digital marketing campaigns while maintaining brand consistency and creativity. Key Responsibilities Packaging & Label Design Create engaging and compliant labels for product packaging (stickers, jars, sachets, etc.). Ensure design accuracy in dimensions, resolution (300 DPI), and print specifications (CMYK, bleed). Incorporate necessary regulatory elements like FSSAI license, MRP, batch codes, etc. Collaborate with team members to reflect brand tone and market appeal. Social Media Poster Design Design eye-catching and on-brand posters for Instagram, Facebook, LinkedIn, and WhatsApp campaigns. Translate campaign themes into creative visual formats suitable for various digital platforms. Maintain a consistent visual identity across all content. Design promotional banners and highlight covers to support seasonal and ongoing campaigns. Cross-Team Collaboration Work closely with Marketing, Content, and Product teams to align messaging and aesthetics. Attend weekly review meetings and adapt based on constructive feedback. Skills & Tools Essential: Graphic Design Software: Adobe Illustrator & Photoshop (for print and digital artwork) Canva (for rapid content generation) Figma (basic understanding for collaboration) Print-Ready Design Knowledge: Understanding of CMYK vs. RGB Bleed, trim marks, and safe zones Font embedding and resolution optimization Preferred: Understanding of FSSAI and FMCG labeling guidelines Ability to create 3D product mockups (Smartmockups or Photoshop) Prior experience designing content for Instagram/Facebook Qualifications Bachelor’s degree or pursuing a degree in Graphic Design, Communication Design, or a related field. Previous experience (internships/freelance/personal projects) in print and social media design is a plus. A portfolio showcasing: Packaging or label design Social media creatives Branding elements Perks and Benefits Real-World Projects: Gain hands-on experience with live products and real campaigns. Mentorship & Feedback: Receive constructive feedback and guidance from experienced design mentors. Collaborative Culture: Work alongside professionals from UI/UX, Marketing, HR, and Product teams. Flexible Hours: Enjoy a flexible schedule based on deliverables. Skill Development: Learn how to balance creative freedom with brand guidelines and practical constraints. Recognition: Completion Certificate and Letters of Recommendation for top performers. Growth Potential: Opportunity to convert to a full-time role based on performance and business needs. Company Culture At Healthletic Lifestyle, we believe in empowering talent through practical exposure, collaborative teamwork, and continuous learning. We encourage curiosity, creativity, and a growth mindset. Join us to be part of a wellness movement that puts innovation and impact at the heart of everything we do. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. DSS Service Provisioning - Supervising Associate Security Analyst The opportunity The Security Technology Services (STS) group is a division of Information Security that ensures secure access to systems and information for more than 390,000 people in over 150 countries. You will be part of STS DLP Engineering Team specifically to support the Enterprise Data Loss Prevention (DLP) solution. The STS team is responsible for the delivery of DLP Services and the maintenance of the global DLP applications. The team is geographically dispersed and comprises of all disciplines required to deliver Data Security Services for our customers. Your Key Responsibilities The Senior Analyst will be primarily responsible for configuring Data Security Solutions like the enterprise Data Loss Prevention System. The main duties of this role will include helping to translate business requirements to secure data with our technical capabilities, especially overseeing the configuration of the DLP environments in a heterogenous global environment. This role requires strong hands-on experience in leading data security solutions with a strong focus on DLP. It will also participate in Data Access Governance Program development and assist in administering the program. The Senior Analyst will help to supervise and mentor junior analysts on the team. The role will also interface with internal customers, stakeholders and support teams at various levels within the organization including Legal, Data Protection, IT Operations and Engineering. Skills And Attributes For Success Technical knowledge in Data Protection technology (DLP, SIEM, SOAR, Data Access Governance, Networking) Administration of the DLP tools which includes configuring policies, upgrading, and patching, etc Proven effective verbal and written communication skills Ability to independently research and solve technical issues Demonstrated integrity in a professional environment Knowledge of core Information Security concepts related to Governance, Risk & Compliance Excellent teaming skills Ability to work in and adapt to a changing environment Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change Ability to efficiently handle customer concerns and difficult situations with ease and professionalism Essential Functions Of The Job Work with vendors to support the different security technologies Configuration of the Security tools which includes configuring policies, response rules & notifications Work with Monitor & Response team to analyse alerts generating from various systems to tune their configuration Understand and follow the incident response process through event escalations Work with Senior level stakeholders (Risk Management, Compliance & Data Protection) Understand Business requirements and translate into technical controls Ability to work within and alongside diverse, global and virtual teams To qualify for the role you must have Degree in Computer Science, Information Systems, Engineering or a related field. Knowledge of security controls: data classification; data labeling and data loss 3-5 years of experience in one or more of the following: Data Loss Prevention (DLP) Technology support and Event Handling Information Security concepts related to Governance, Risk & Compliance Supporting Information Security Technology English language skills - excellent written and verbal communication Exceptional judgement, tact and decision-making ability Ideally, you’ll also have Demonstrated integrity in a professional environment Ability to work within diverse, global, virtual teams Ability to appropriately balance firm security needs with business impact and benefit What We Look For Good interpersonal, communication and presentation skills Ability to deal with ambiguity and change, and exercise appropriate time management to meet deliverables Prioritization of work items to ensure timelines are achieved Good judgment, tact, and decision-making ability Deep critical thinking skills demonstrating analytical and systematic approach to problem solving Experience working in a global virtual environment Ability to work independently but also within a team environment What We Offer As part of this role, you will work in a highly coordinated, globally diverse team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer: Continuous learning: You will develop the mindset and skills to navigate whatever comes next. Success as defined by you: We will provide the tools and flexibility, so you can make a significant impact, your way. Transformative leadership: We will give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You will be accepted for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Title: Document AI Annotator (Invoices & Receipts) Contractual for 3 (Three Months) Fixed Salary - 11,000 ( Take Home) Immediate Joiners and Freshers ( Graduates) can apply. Shit Time - Rotational ** Work from Office ( Saltlake, Kolkata) Job Description: We are seeking detail-oriented annotators to support a Document AI project focused on labeling and annotating key fields in financial documents such as invoices, receipts, and bills. The role involves accurately tagging data fields (e.g., date, total amount, vendor name, tax) to help train AI models for automated document processing. Key Responsibilities: Review and annotate invoices, receipts, and similar documents using annotation tools Identify and label key data points (e.g., invoice number, total, tax, date, line items) Ensure accuracy and consistency in annotations Meet daily/weekly productivity and quality targets Collaborate with QA and project leads for feedback and clarification Requirements: Basic understanding of financial documents (invoices, receipts, etc.) Strong attention to detail Familiarity with annotation tools preferred(Bounding Box) Ability to follow guidelines and adapt to feedback About iMerit: iMerit (https://imerit.net) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a client’s journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human empowered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women. Show more Show less

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Senior Manager- Regulatory Affairs! In this role, you will be expected to work on deadlines, in a fairly high-pressure business environment while being a good great teammate. Responsibilities Monitor and develop continuous improvement proposals on the processes Maintain a staff of adequately skilled resources to meet deliverables Communicate issues and resolve them in an appropriate time frame Ensure adherence to agreed-to work practices Meet established submission timelines and quality standard. Participate, as needed, on global teams to complete assignments and tasks within a specific task force/project associated with labelin Ensure collection of metrics Improve speed to minimize the cost Identify discrepancies/issues in local implementation of corporate labels and contact the affiliates (if appropriate) for remediation actions Qualifications we seek in you! Minimum qualifications Demonstrated knowledge and understanding of CCDSs, US and EU labeling, and the dynamics of Labeling Team purpose and objectives Proven ability to successfully understand regulatory implications of product strategy with regards to the product label, assessment, and practical management of associated impacts Ability to work well in cross-functional teams, exhibiting a combination of active listening skills and the confidence to guide decision-making for the document content strategy. Proficient in speaking publicly to senior management when required Must be able to construct a Company Response (MAH response) for health authority questions Masters in Life Sciences Understanding of key regulatory and Labeling principles and SOPs Preferred qualifications Should be open to work in any shift as per the business requirement Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Senior Manager Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 6, 2025, 7:03:37 AM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

Description AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities Maintain and follow strict confidentiality as customer privacy is our most important tenet Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. Eye for detail and ability to pivot from one category of requirement to another instantaneously. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations Demonstrate ownership in floor support to clarify internal queries during execution on need basis 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 An Associate’s Degree or related work experience C1+ or equivalent fluency in English language Strong business writing skills with ability to create reports, proposals, and professional correspondence Advanced reading comprehension with ability to analyze complex business documents Developed analytical thinking and structured problem-solving capabilities Strong ability to interpret and implement detailed instructions across various projects Proficient research skills with experience gathering and synthesizing information from multiple sources Proven attention to detail in managing complex tasks and documents Preferred Qualifications Bachelor’s degree in a relevant field May vary in other locations like India 2+ years of professional work experience with demonstrated task execution ability Proven capacity to leverage open-source resources effectively for comprehensive research purposes Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy 1+ years of project coordination or management experience Experience managing stakeholder relationships across departments Advanced proficiency in Microsoft Office Suite and common business applications. 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 Job ID: A2965954 Show more Show less

We are seeking a detail-oriented and motivated Data Annotator to join our growing AI/ML team. As a Data Annotator, you will play a critical role in training artificial intelligence models by labeling and organizing data with precision and accuracy. Key Responsibilities Accurately label, categorize, and annotate various types of data including images, videos, text, and audio. Follow detailed annotation guidelines and project instructions provided by data scientists and project managers. Use internal or third-party annotation tools to complete tasks efficiently. Ensure consistency and quality of annotations across datasets by conducting peer reviews or quality checks. - Location: Gurgaon - Both side cab facility - 5 days working - Experience: Both Fresher and Experienced can apply - Joining: Immediate - Salary: Attractive package - Education: Must be Graduate Key Highlights: - Great work culture - Growth opportunities - Performance-based rewards Job Types: Full-time, Permanent, Fresher Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Night shift Rotational shift Supplemental Pay: Performance bonus Shift allowance Work Location: In person

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: A2965690 Show more Show less

Prepare and cook Tandoor dishes such as naan, kebabs, tikkas, and rotis as per standard recipes and presentation guidelines. Operate and maintain the Tandoor oven with proper safety and cleanliness. Assist in the mise-en-place for Tandoori cooking, including marination and portioning. Ensure proper storage, labeling, and rotation of food products. Maintain high standards of food hygiene and kitchen cleanliness in accordance with HACCP and food safety guidelines. Communicate effectively with senior chefs regarding food quality, inventory needs, and service updates. Follow all company policies and procedures regarding food preparation, sanitation, and equipment use. Support the kitchen team during busy periods and assist in other sections as needed. INDBOH

The Blood Centre Chief Technician is responsible for overseeing the technical operations of the blood centre, including blood collection, testing, component separation, and storage. This role involves supervising the team of blood bank technicians and ensuring that all technical procedures are compliant with safety, regulatory, and quality standards. The Chief Technician ensures the smooth operation of the blood centre by managing resources, training staff, and maintaining equipment. Key Responsibilities : Supervision of Technical Staff : Lead and manage a team of technicians and phlebotomists, ensuring that all tasks related to blood collection, testing, and processing are performed efficiently. Coordinate with the Blood Centre Technical Supervisor and other departments to ensure seamless operations. Provide guidance and technical expertise to resolve any complex issues that arise during blood processing. Blood Collection and Processing : Oversee the collection, testing, and separation of blood into its components (red blood cells, plasma, platelets, etc.). Ensure that blood is processed and stored according to hospital protocols and regulatory requirements. Supervise the labeling and storage of blood components, ensuring accuracy and compliance with safety standards. Quality Assurance and Compliance : Implement and monitor quality control procedures in blood testing, collection, and processing to maintain the highest safety and accuracy standards. Ensure compliance with national and international regulations such as NABH, AABB, and FDA guidelines. Participate in internal and external audits to verify the quality and safety of blood center operations. Staff Training and Development : Train and mentor junior technicians and new staff on blood bank procedures, equipment operation, and safety protocols. Regularly assess staff performance and provide opportunities for professional development. Stay updated with the latest advancements in transfusion medicine and implement relevant training for staff. Equipment Management : Ensure that all blood center equipment is regularly calibrated, maintained, and serviced to prevent malfunctions. Monitor the performance of technical equipment and troubleshoot any issues that arise. Coordinate with the maintenance department for timely repair and replacement of defective equipment. Documentation and Record-Keeping : Maintain accurate and detailed records of all blood processing, testing, and inventory. Ensure the proper documentation of quality control measures, equipment maintenance, and staff training. Use the Laboratory Information System (LIS) to manage data related to donor and recipient information, blood components, and testing results. Inventory and Resource Management : Manage the blood bank inventory, ensuring that there are adequate supplies of blood, testing reagents, and consumables. Coordinate with procurement teams to replenish stocks in a timely manner. Monitor the expiration dates of blood products and ensure proper rotation of inventory to minimize waste. Donor and Patient Safety : Collaborate with medical teams to ensure the safe collection of blood from donors and its safe transfusion to patients. Monitor donor health during blood collection and address any complications promptly. Ensure that blood products are safe for transfusion by verifying test results and quality control measures. Regulatory and Safety Compliance : Ensure adherence to safety protocols, including infection control measures and the use of PPE. Implement and enforce protocols for handling biohazardous materials and preventing contamination in the blood center. Job Type: Full-time Pay: ₹8,086.00 - ₹37,624.80 per month Benefits: Life insurance Paid sick time Schedule: Day shift Evening shift Morning shift Night shift Rotational shift Weekend availability Work Location: In person

Job Description At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. This role is available on the OCI AI Data Org. We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. We are building cloud services and tools for all aspects of data-centric AI and machine learning lifecycle – data ingestion, synthetic data generation, data labeling, data benchmarking, model training and ML data infrastructure. Our services are used by both internal and external customers for processing machine learning data related to Vision, Language, Speech and other AI capabilities. Preferred Qualifications Over 8+ years of relevant software development experience, with a strong foundation in Computer Science through a Bachelor’s / Master’s or equivalent educational qualification You have prior experience working on distributed systems at a cloud service provider (IaaS, PaaS or SaaS) You are proficient in Java and related technologies, preferably as a full stack developer including UI technologies You are experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols and API based development You are experienced with components of modern infrastructure like service discovery, secret storage, software-defined networking, containers, etc. You have hands-on experience performing devOps functions (build, deploy, monitor etc) using relevant tools, preferably in Cloud environment You have experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise Preferably, production experience with Cloud and ML technologies You feel at home communicating technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) Data science and machine learning knowledge would be helpful, but not required Responsibilities As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems. What You’ll Do Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCI Lead design and development of distributed, scalable, fault tolerant software systems Provide technical leadership to the development team & junior engineers Participate in the entire software lifecycle – development, testing, CI and production operations Balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events Leverage plethora of internal tooling at OCI to develop, build, deploy and troubleshoot software Participate in on-call for the service with the team Participate in hiring, mentorship and other org building activities

Job Title: Associate Medical Director, Patient Safety Physician Global Career Level: E Introduction to role: Are you ready to make bold moves in the field of oncology? As an Associate Medical Director, Patient Safety Physician, you will play a pivotal role in transforming the way cancer is treated. You will work independently or alongside senior safety physicians to evaluate adverse events and manage the safety profile of marketed products. Your expertise will be crucial in authoring regulatory documents and predicting the clinical implications of safety data. Join us in pushing the boundaries of science and making a meaningful difference in patients' lives! Accountabilities: As an Associate Medical Director, Patient Safety Physician, you will be responsible for signal detection, evaluation risk management activities, and labeling. You will provide medical input into the identification and utilization of information sources for signal evaluation, collaborate with external providers, and discuss data evaluation results with key stakeholders. Your strategic input will be vital in regulatory requests and safety evaluation documents. Additionally, you will contribute to regulatory reports and submissions, participate in external meetings, and maintain readiness for audits or inspections. Your collaboration across functions and cultures will drive innovation and process improvement. Essential Skills/Experience: Medical degree (eg MD, MBBS) At least 2 years of clinical experience post-registration High level of medical competence, with an ability to balance this with industry standards to achieve business goals Minimum 3 years of Patient Safety experience (Pharmacovigilance) (with clear evidence of delivery) Total of 6 to 11 years of experience Desirable Skills/Experience: Able to work across TAs and Functions Experience of supervising Patient Safety colleagues A demonstrated ability to understand epidemiological data Skills and Capabilities: Commitment to Customers and Integrity Strategic Leadership Acts Decisively Drives Accountability Works Collaboratively Develops People and Organisation May train or mentor junior level staff within given role Technical: Drug Development Experience and Application of Disease and TA knowledge Integrative thinking Excellence in pharmacovigilance Patient Benefit risk assessment Core: Conceptual thinking Influencing Initiative Innovation Business relationship management When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll be part of a global team dedicated to eliminating cancer as a cause of death. With one of the broadest oncology pipelines in the industry, you'll have the opportunity to work on groundbreaking drug modalities and innovative approaches. Our collaborative environment fosters courage and curiosity, empowering you to take smart risks and challenge the norm. We are committed to making a meaningful impact on patients' lives through science-driven solutions. Ready to make a difference? Apply now and join us on our mission to transform cancer treatment!

Job Summary: We are looking for a reliable and detail-oriented Junior Store Incharge to manage construction site inventory, ensure proper documentation, and support project execution by maintaining materials flow. The ideal candidate should have experience in materials management within the construction industry. Key Responsibilities: Receive, inspect, and record incoming materials, tools, and equipment. Maintain accurate stock records and inventory control. Issue materials to construction staff based on material requisitions. Coordinate with the purchase department for timely replenishment of materials. Ensure proper storage and handling of materials to prevent damage or loss. Conduct regular physical stock audits and reconcile with system records. Maintain documentation such as GRNs (Goods Receipt Notes), MRNs (Material Requisition Notes), and stock registers. Ensure safety, cleanliness, and proper organization of the store. Monitor and report stock levels, fast/slow-moving items, and obsolete stock. Track usage of high-value items to minimize wastage. Coordinate with project engineers and site supervisors regarding material requirements. Maintain proper labeling and identification for all stored materials. Skills Required: Knowledge of construction materials and tools. Familiarity with storekeeping and inventory software (e.g., MS Excel, ). Good organizational and record-keeping skills. Strong communication and coordination abilities. Attention to detail and problem-solving skills. Ability to work independently and manage time effectively. Preferred: Experience in pile foundation or infrastructure projects is a plus. Familiarity with safety and compliance norms in construction. Contact Person: Manikandan E - 6379753597 / 7904630718 Job Types: Full-time, Permanent, Fresher Pay: ₹10,000.00 - ₹17,500.00 per month Benefits: Cell phone reimbursement Health insurance Provident Fund Schedule: Day shift Morning shift Night shift Rotational shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Work Location: In person

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: A2966041 Show more Show less

Job Summary: The Store Assistant is responsible for supporting day-to-day operations of the store, including receiving, storing, and issuing materials, maintaining inventory records, and ensuring the store area is clean, organized, and safe. Key Responsibilities: Assist in receiving incoming materials and verifying them with purchase orders. Store items in an orderly and accessible manner. Issue materials to departments as per requisition. Maintain proper records of stock in the inventory management system or manually. Update stock levels and report shortages to the Store Incharge. Participate in regular stock audits and physical verification of items. Ensure proper labeling, tagging, and documentation of inventory. Assist in loading and unloading of materials. Follow the FIFO Experience : 2 years Salary Range 20000/- Job Type: Full-time Pay: ₹18,000.00 - ₹20,000.00 per month Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Language: English (Preferred) Shift availability: Day Shift (Preferred) Work Location: In person

Generally focuses on preparing and cooking a variety of sweets and desserts, ensuring consistent quality and following recipes, while also maintaining a clean and hygienic workspace. They may also be responsible for packaging, labeling, and potentially training kitchen staff. Here's a more detailed breakdown of responsibilities: Responsibilities: Preparation and Cooking: Preparing various sweets and desserts, following recipes and instructions to ensure consistent quality and taste. Ingredient Management: Measuring and weighing ingredients accurately, ensuring proper storage, and monitoring stock levels. Equipment Operation: Operating and maintaining equipment used in the production process, such as ovens, mixers, and other tools. Quality Control: Monitoring the cooking process, making adjustments as needed, and ensuring finished products meet quality standards. Hygiene and Sanitation: Maintaining a clean and sanitized work area and equipment, adhering to food safety regulations. Packaging and Labeling: Packaging finished products and labeling them appropriately. Staff Training: Potentially supervising and training kitchen staff, especially in areas related to sweet preparation. Innovation: Depending on the specific role, they may be involved in developing new recipes and exploring innovative sweet creations. Job Types: Full-time, Permanent Pay: ₹1,000.00 - ₹1,200.00 per day Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person