2884 Labeling Jobs - Page 2

Company Description Raj Innotech Pvt. Ltd., a prominent manufacturer and exporter, specializes in Water Treatment Projects, Mineral Water Projects, Natural Mineral Water Projects, RTS Juice Turnkey Projects, Synthetic Juice Projects, and Carbonated Soft Drink Turnkey Projects. We provide various packaging and labeling solutions for different containers such as Pet Bottles, Pouches, Pet Cans, Tin Cans, and Glass. Founded in 2004 and certified with ISO 9001:2008, our advanced manufacturing unit is based in Rajkot, Gujarat. Under the leadership of Mr. Sanjay Patel, we have successfully served clients globally, maintaining high customer satisfaction ratings. Role Description This is a full-time on-site role for a Sales Assistant located in Rajkot. The Sales Assistant will support the sales team by managing customer inquiries, processing orders, and maintaining customer records. The role involves assisting in sales presentations, following up with potential clients, and providing exceptional customer service. Additionally, the Sales Assistant will coordinate with other departments to ensure smooth operations and timely delivery of products. Qualifications Excellent Interpersonal Skills and Customer Service abilities Strong Communication and Sales skills Exceptional Organization Skills Ability to work collaboratively in a team environment Proficiency in using MS Office and CRM software Previous experience in a similar role is a plus Bachelor’s degree in Business, Marketing, or a related field

Job Title: AI/ML Agent Developer Location: All EXL Locations Department: Artificial Intelligence & Data Science Reports To: Director of AI Engineering / Head of Intelligent Automation Position Summary: We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You’ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search. Why Join Us: Work at the forefront of AI orchestration and intelligent agents. Collaborate with a high-performing team driving innovation in enterprise AI platforms. Opportunity to shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.

The role holder is responsible for achieving the organizational objective in quality excellence by implementing quality systems, process controls and improvement activities at the manufacturing plant. Ensuring adherence to the regulatory & compliance related requirements. Additionally the incumbent will be responsible for ensuring minimum customer complaints. Also responsible for liasoning with customers with a perspective of maintaining relations, understanding their expectations and resolution of their concerns. Responsibilities: Quality Management System (QMS) Implementation: Develop, implement, and maintain the company's quality management system aligned with industry standards. Ensure compliance with all regulatory and customer requirements. Quality Control & Inspection: Supervise the inspection of raw materials, in-process products, and finished goods. Establish quality control procedures for paper, inks, plates, and finished prints. Standards & Specifications: Define and communicate quality standards and specifications for printing processes, substrates, inks, and finishing. Process Monitoring & Improvements: Monitor printing processes for consistency and quality. Identify root causes of defects and implement corrective and preventive actions. Team Leadership & Training: Lead and train the quality assurance team, including inspectors and operators, on quality standards, testing procedures, and best practices. Customer Complaint Handling: Address customer complaints related to print quality, investigate issues, and coordinate corrective actions to prevent recurrence. Audits & Compliance: Conduct internal audits and facilitate external audits to ensure compliance with industry standards and client requirements. Documentation & Reporting: Maintain detailed records of quality control activities, non-conformance reports, inspection data, and corrective actions. Prepare regular reports for management review Vendor Quality Management: Collaborate with suppliers and vendors to ensure the quality of incoming raw materials and consumables. Continuous Improvement: Drive initiatives for process optimization, waste reduction, and quality enhancement using tools like Six Sigma, Kaizen, or Total Quality Management (TQM). Department-Specific Responsibilities: Paper Stores: Verify incoming raw materials (raw paper, boards) for quality, weight, moisture content, and documentation. Monitor storage conditions to prevent damage, warping, or deterioration. Conduct periodic sampling and testing of stored paper for consistency. Printing Department: Ensure color matching, registration, and print quality as per specifications. Oversee calibration and maintenance of printing equipment. Monitor ink density, registration, and print alignment during production. Die Cutting (Fluted & Non-Fluted): Check die cutting accuracy, clean cuts, and minimal waste. Ensure the die cutting process adheres to design and quality specifications. Inspect finished products for correct dimensions, edges, and finish. Post-Printing Department: Verify finishing processes such as lamination, binding, embossing, and coating. Conduct inspections of printed and finished products for defects, color consistency, and durability. Ensure packaging meets quality and labeling standards.

Job Title: GRN Supervisor (SEZ Operations) Payroll Company: G4S Secure Solutions India Pvt. Ltd. Client Location: Aptiv Connection Systems – Chennai Engineering Centre Work Location: Manapakkam, Chennai, Tamil Nadu 600125 Gross Salary: ₹26,000 per month Working Environment: Special Economic Zone (SEZ) Job Summary: G4S Secure Solutions is hiring a GRN Supervisor for deployment at Aptiv , a global leader in automotive technology. The selected candidate will be responsible for overseeing the end-to-end Goods Receipt Note (GRN) process in an SEZ environment. This includes inbound material verification, SEZ customs compliance, ERP documentation, vendor coordination, and audit support. Key Responsibilities: 1. Goods Receipt & Documentation Supervise receipt of materials from vendors, inter-unit transfers, and DTA suppliers. Ensure accurate and timely generation of GRNs in the ERP system (SAP/RAMCO/Oracle). Verify purchase orders, invoices, delivery challans , and packing lists before receipt entry. Ensure proper labeling and tagging of items using barcodes or material codes. Report any quantity mismatches or documentation issues immediately. 2. Inspection & Quality Interface Coordinate with the quality control or user departments for inspection of inbound materials. Follow proper procedures for quarantining or rejecting non-compliant materials. Maintain inspection records and ensure accepted/rejected items are correctly segregated. 3. SEZ Documentation & Compliance Ensure correct filing and storage of SEZ-specific documents: Bill of Entry for DTA purchases ARE-1/ARE-3, Form I , or other export-related forms Ensure 100% compliance with SEZ customs and bonded inventory movement protocols . Maintain proper logs for inward movements and ensure readiness for customs audits . 4. Inventory Control & Coordination Update stock registers and ERP inventory modules upon GRN completion. Reconcile physical stock with ERP system post-material receipt. Coordinate with warehouse team for appropriate binning and storage. 5. ERP System & MIS Reporting Operate ERP software for GRN entry, report generation, and inventory reconciliation. Generate daily, weekly, and monthly reports on material receipts, pending POs, rejections, etc. Escalate abnormal delays or discrepancies to the Procurement or Planning teams. 6. Vendor & Stakeholder Coordination Communicate with vendors regarding incorrect/damaged/incomplete deliveries. Work closely with Procurement, QA, Stores, and Finance teams to resolve GRN-related issues. Assist in follow-ups for replacement or credit notes for rejected materials. 7. Team Supervision & SOP Compliance Lead a small team of material handlers or data entry operators. Train and guide staff in GRN processing, SEZ compliance, and documentation . Ensure compliance with internal SOPs and client-specific logistics policies . 8. Audits & Internal Control Prepare documentation and support internal, external, or SEZ customs audits . Maintain accurate and traceable records of all inward movements and receipts. Ensure zero deviation from audit trail expectations. Candidate Requirements: Educational Qualification: Graduate (any stream) – Commerce or Logistics-related degree preferred. Experience: Minimum 2–4 years of hands-on experience in GRN processing within SEZ operations . Languages: Excellent communication in Hindi, English, and Tamil (mandatory). Technical Skills: Working knowledge of ERP systems (SAP, Oracle, RAMCO, etc.). Familiarity with HS Codes , GST documentation, and SEZ bonded movement protocols. Soft Skills: High attention to detail and accuracy. Good coordination and interpersonal skills. Ability to work under pressure and meet tight timelines. Additional Considerations (SEZ-Specific): Familiarity with SEZ guidelines such as: Movement protocols from DTA to SEZ Bonded inventory maintenance SOFTEX, BOE , and ARE-1/ARE-3 documentation Understanding of customs-related protocols and SEZ-related tax benefits or exemptions. Reporting Structure: Reports to: Site Logistics/Operations Manager at Aptiv Matrix Reporting: G4S Assignment Supervisor (Back Office Team) Why Join G4S at Aptiv? Opportunity to work in a high-compliance global environment . Gain exposure to international logistics and SEZ operations . Competitive salary and structured work environment. Contact details: Name: Abhay S. Mulik Email ID: abhay.mulik@in.g4s.com WhatsApp no.: 9113627282 Job Types: Full-time, Permanent Pay: ₹26,000.00 - ₹28,000.00 per month Benefits: Cell phone reimbursement Health insurance Internet reimbursement Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Work Location: In person

Position: Store Assistant – FMCG Location: Aluva, Kerala Experience: Minimum 2 years in FMCG retail, warehouse, or distribution Education: 10+2/Diploma—any discipline (Commerce preferred) Key Responsibilities Stock & Inventory Management: Receive, inspect, unpack, label incoming FMCG goods; maintain accurate inventory records, perform cycle counts and stock checks Store Maintenance & Merchandising: Keep shelves organized, clean, and replenished; assist in visual merchandising and promotional displays . ERP & Data Entry: Record receipts/issues in ERP or inventory system; support documentation and reports (stock ledgers, slow-moving items). Strong MS Excel skills required . Customer Assistance & Cash Handling: Some roles may involve billing support, responding to product queries, and ensuring excellent service Housekeeping & Safety: Ensure store/warehouse hygiene, follow health & safety protocols, assist in ad hoc tasks as directed Required Skills & Experience Industry Experience: 2+ years in FMCG stores, warehouse, or retail operations. Technical Proficiency: Familiarity with ERP/inventory systems; MS Office—especially Excel; basic billing systems. Attention to Detail: Accurate stock handling, record keeping, labeling, cycle counting. Physical Stamina: Comfortable standing long hours, lifting/moving stock Communication & Teamwork: Good communication (local languages + basic English); ability to collaborate with procurement, logistics, and sales teams. Adaptability & Reliability: Proactive approach; able to work in fast-paced environments and assist with varied tasks as needed. Interested candidates can send their updated resume to saleena@affable.in or contact us on 9072771003 Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Schedule: Day shift

Job Title: Store Executive Location: Faridabad Vacancies: 2 Salary: ₹18,000 – ₹22,000 per month Job Description: We are looking to hire 2 Store Executives for our facility in Faridabad. The ideal candidates should have experience in store management, inventory handling, and material tracking within a manufacturing setup. Key Responsibilities: Maintain records of incoming and outgoing materials. Manage inventory and stock levels accurately. Coordinate with the production and purchase departments. Issue materials as per production requirements. Ensure proper storage and labeling of materials. Conduct regular stock audits and maintain documentation. Maintain cleanliness and organization of the store area. Candidate Requirements: 1–3 years of experience in store or warehouse operations. Basic knowledge of inventory software (like ERP/Tally/MS Excel). Good communication and coordination skills.

Job Title: Dispatch Assistant – Toughened Glass DivisionCompany: Om Glass N Ply Location: Auto Nagar, Visakhapatnam Salary: ₹10,000 – ₹12,000 per month Additional Perks: Overtime pay as applicable About UsAt Om Glass N Ply, we specialize in delivering premium quality toughened glass products across Visakhapatnam and beyond. With years of trust, precision, and customer satisfaction behind us, we’re growing fast—and we’re looking for dependable team members to grow with us. Job SummaryWe're hiring a Dispatch Assistant to support our daily dispatch operations. If you're someone who takes pride in timely and accurate work, enjoys staying organized, and thrives in a fast-paced environment, we want you on board! Key Responsibilities Assist in the packing, labeling, and safe loading of toughened glass orders Coordinate with the production and sales team to ensure timely dispatch Maintain dispatch records, invoices, delivery challans, and transport logs Assist the Dispatch Manager in scheduling deliveries and tracking shipments Ensure all goods are dispatched as per the quality and safety standards Conduct basic checks on packaging and documentation before shipment Support the unloading of incoming materials when required Maintain cleanliness and safety in the dispatch area Skills Required Minimum qualification: 10th Class / Intermediate Pass Basic understanding of logistics and dispatch process Physically fit and comfortable with manual handling Ability to follow instructions, work in a team, and meet deadlines Good attention to detail and strong organizational skills Willingness to work overtime when required What We Offer Stable monthly salary with timely payments Overtime compensation for extra work hours On-the-job training in glass handling and dispatch best practices Opportunity to grow within the company as we expand Supportive work environment with a focus on safety and respect Work Schedule6 days a week (Monday to Saturday) Overtime applicable as per workload and delivery schedules Location📍 Auto Nagar, Visakhapatnam – Easily accessible by public and private transport. How to Apply If you're interested and ready to join a company that values honesty, hard work, and dedication, call us at [9603125151] to schedule a meeting.

Location : Remote (India-based preferred) Type : Internship (3–6 months) | Stipend: Yes Start Date : Immediate About HoGo Fresh HoGo Fresh is a mission-driven agri-tech company transforming the way food moves from farms to consumers. We leverage technology to create clean, transparent, and climate-resilient supply chains—empowering farmers while reducing food waste. Role Overview We are looking for a curious and analytical Data Analyst Intern who’s not only comfortable working with data—but also understands how data feeds into AI/ML models . This internship offers hands-on experience with real-world datasets from agriculture, supply chain, and customer behavior—all in a fast-paced, impact-driven environment. Responsibilities Collect, clean, and analyze structured and unstructured data from various sources (farm, logistics, consumer apps). Build visual dashboards and basic data pipelines using Excel, SQL, or Python tools (e.g., Pandas, NumPy). Assist the AI team in preparing datasets for training and evaluation of ML models (e.g., yield prediction, pricing, routing). Collaborate with tech, R&D, and operations teams to identify data-driven insights. Document findings and create presentations to support product or business decisions. You Should Have Pursuing or completed a degree in Data Science, Statistics, Computer Science, Agriculture Informatics, or a related field. Proficiency in Excel and at least one of: Python, R, or SQL. Understanding of data preparation for AI/ML models (e.g., feature selection, labeling, preprocessing). Strong analytical thinking, attention to detail, and ability to interpret trends and patterns. Bonus: Familiarity with visualization tools (Power BI, Tableau, Google Data Studio) or ML libraries (scikit-learn, TensorFlow). What You’ll Gain Exposure to real agri-tech data challenges at scale Mentorship in AI data workflows, model prep, and business intelligence Opportunity to collaborate cross-functionally in a purpose-driven startup Potential for a Pre-Placement Offer (PPO) based on performance Comprehensive health and wellness benefits tailored to interns, such as free webinars and consultations with industry professionals. Access to a vast network of agricultural and technological entrepreneurs for guidance on career planning. Monthly learning workshops focusing on leadership, innovation, and applied technologies in agri-supply chains. Skills: data cleaning,data analysis,data visualization,python,datasets,analytical thinking,attention to detail,data,supply,agriculture,sql,excel,models

Location: On-site Only (Mohali) Experience Required: 4 - 5 Years Education: Bachelor’s Degree in Computer Science, Software Engineering, AI/ML, or related field Job Overview: We are seeking an experienced Python AI Developer to join our dynamic team working on a ride-booking mobile application. You will play a critical role in developing backend APIs, implementing AI models to detect human activity and behavior, and contributing to scalable system architecture. Primary Responsibilities: Design, develop, and maintain scalable Python APIs for a ride-booking app using FastAPI or Flask. Integrate AI/ML models that detect human activity patterns, emotional behavior, and real-time user response analysis. Experience with Natural Language Processing (NLP) Build and maintain services that handle ride matching, fare estimation, real-time tracking, user analytics, and driver behavior monitoring. Work closely with front-end/mobile developers, product managers, and DevOps teams to create seamless end-to-end functionality. Analyze customer and driver data to improve matching algorithms, reduce wait times, and enhance the ride experience. Implement and optimize machine learning algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, etc. Develop pipelines to handle data ingestion, cleaning, labeling, and model training for real-time analysis. Ensure robust database integration using PostgreSQL, MongoDB, or similar DBs. Write unit and integration tests to ensure code quality and maintainability. Key Skills & Requirements : 4-5 years of backend development experience using Python. Strong experience with FastAPI or Flask. Solid understanding of data structures, algorithms, and RESTful APIs. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Experience building and deploying AI/ML models for human activity recognition (HAR) or sentiment/emotion analysis. Hands-on experience with OpenCV, TensorFlow, PyTorch, scikit-learn, or similar ML/DL frameworks. Familiar with CI/CD pipelines, Docker, Kubernetes, and version control (Git). Strong grasp of Object-Oriented Programming (OOP) and software design principles. Strong debugging and optimization skills. Bonus Skills: Experience in emotion recognition, facial expression analysis, gaze tracking, or gesture detection. Experience integrating third-party AI/ML APIs (e.g., OpenAI, AWS Rekognition, Azure AI). Familiarity with Kafka, RabbitMQ, or similar message brokers. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with mobile app infrastructure (Android/iOS) and ride-sharing architecture. Experience in building scalable microservices architecture. Why Join Us? Build a next-gen ride-booking platform to compete with global leaders. Work with a passionate, fast-paced startup team focused on innovation. Use AI to bring real impact to how people move, interact, and experience services. Opportunities to lead AI initiatives and grow your career in a product-first company. Apply Now If you’re excited about building future-ready ride solutions and passionate about AI-driven human behavior analysis, we’d love to hear from you!

Job Overview: We are seeking a talented and passionate Demi Chef de Partie to join our bakery team. The ideal candidate will assist the Chef de Partie in preparing high-quality baked goods, ensuring consistency, presentation, and flavor standards. This role offers the opportunity to develop pastry and baking skills in a fast-paced, creative environment. Key Responsibilities: Assist in preparing a variety of baked goods, including bread, pastries, cakes, and specialty items. Follow recipes and ensure quality, taste, and presentation standards. Monitor baking processes, such as proofing, mixing, and baking, ensuring proper techniques and timing. Maintain cleanliness and organization of the bakery section, following hygiene and safety standards. Collaborate with the team to develop new recipes and seasonal offerings. Ensure proper storage and labeling of all bakery items. Minimize waste and manage ingredient inventory efficiently. Adhere to kitchen safety and sanitation protocols (HACCP or equivalent). Train and mentor junior staff and apprentices when required. Report equipment issues or maintenance needs to the Chef de Partie. Qualifications & Skills: Proven experience as a Demi Chef de Partie or Commis Chef in a bakery or pastry kitchen. Culinary or baking certification preferred. Strong knowledge of baking techniques and equipment. Creativity and attention to detail in food presentation. Ability to work under pressure and maintain high standards. Strong organizational and time-management skills. Excellent teamwork and communication abilities. Flexibility to work early mornings, weekends, and holidays as needed. Job Types: Full-time, Permanent Pay: ₹24,000.00 - ₹27,000.00 per month Benefits: Food provided Health insurance Paid sick time Provident Fund Schedule: Day shift Morning shift Rotational shift Supplemental Pay: Yearly bonus Work Location: In person

Job Title: Demi Chef de Partie – South Indian Cuisine Department: Kitchen Reports To: Chef de Partie / Sous Chef Location: Pondicherry Job Summary: The Demi Chef de Partie (South Indian Cuisine) is responsible for preparing and presenting authentic South Indian dishes while maintaining the highest quality standards in taste, hygiene, and presentation. The DCDP will assist the Chef de Partie in managing the South Indian section and ensuring efficient kitchen operations. Key Responsibilities: Prepare and cook a wide range of South Indian dishes such as dosa, idli, vada, sambar, rasam, poriyal, kootu, kurma, etc. Ensure consistency in taste, quality, and presentation. Maintain proper mise-en-place for all South Indian menu items. Follow standard recipes and portion controls set by the Executive Chef/Chef de Partie. Maintain hygiene and cleanliness in the kitchen as per FSSAI and hotel standards. Ensure proper storage and labeling of all ingredients and leftovers. Assist in ordering and inventory management of ingredients specific to the South Indian section. Train and guide Commis Chefs and junior kitchen staff. Work closely with service staff to ensure timely food delivery and guest satisfaction. Ensure all kitchen equipment used is well maintained and in good working condition. Adhere to safety and sanitation policies at all times. Job Types: Full-time, Permanent Pay: ₹24,000.00 - ₹26,000.00 per month Benefits: Food provided Health insurance Life insurance Work Location: In person

Job description: Responsible for designing and building production class deep learning models applied to computer vision problems Drive the development activities in an agile manner.• Guide and mentor junior engineers on the team Key contributor in developing POCs and solutions for new use cases Required skills and experience: 4+ years of hands-on experience in Computer Vision and deep learning Design and development of end-to-end machine learning pipeline including data extraction, automated labeling, training of deep learning model, and deployment Prior experience in taking at least one solution to production from Concept to Deployment Good breadth and depth of knowledge in various deep learning algorithms in the field of Computer Vision Working knowledge in at least one of PyTorch, Caffe, MXNet, Tensorflow etc. Proficient in Python language Hands-on experience in GPU acceleration and system design skills for efficient machine learning pipeline Strong foundation in software engineering with top-notch skills in design patterns, code optimization and debugging Experience working in Linux environment and proficient in state-of-art DevOpspractices/tools Good knowledge of statistics relevant to Deep Learning and ability to use the right statistical measures to assess the model’s performance Awareness of the latest research/advances in the field and ability to apply them• Drive to address complex problems with technical solutions that work Ability to manage multiple priorities in a fast-paced and dynamic work environment Job Types: Full-time, Permanent Pay: ₹244,343.11 - ₹2,058,079.18 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Experience: total work: 4 years (Required) Work Location: In person

Makes necessary adjustments with very little support to keep an even flow of cans to the packaging area and minimize the filling line downtime. Responsible for labeling cans or to set the labeler for different can size. Responsible for labeling cans with the correct label. Responsible for the quality of the label being applied and the scrap rate of labels. Maintains a clean and safe work environment. Operates the labelers in an efficient manner Makes necessary adjustments, complex and routine to keep labelers running efficiently with a limited amount of scrap. Assists in setting/checking the Videojet and Marsh equipment as needed. Reads and understands a fill formula sheet, pulls information from the formula sheet to make sure the correct labels are used. Operates, without assistance, an automatic labeler. Changes the labeler from one size can to another; includes changing the label table, glue bar, and adjusting the rails and height of the labeler. Checks for label quality and makes the necessary adjustments. Keeps label machine clean. Fans the labels and check each part number to make sure the operator is using the correct label. Wears all required safety equipment in the designated area Job Types: Full-time, Permanent Pay: Up to ₹21,000.00 per month Schedule: Day shift Work Location: In person

Maintain daily records of incoming and outgoing jewelry stock Conduct regular physical stock audits and reconcile with system data Handle barcode tagging, SKU labeling, and product coding Update inventory software with accurate data on quantity, weight, purity, and design Coordinate with sales and dispatch teams for timely order processing Monitor stock levels and alert management on low or overstock situations Assist in preparing inventory reports for management review Ensure proper handling, storage, and safety of precious items Verify products against invoices, purchase orders, and delivery notes Maintain organized stockrooms and showcase inventory areas 2 years of experience in inventory management, preferably in jewelry sector Familiarity with inventory software (Tally, Marg ERP, JewelERP, etc.) Good understanding of jewelry specifications (e.g., gold purity, carats, weight) Strong attention to detail and accuracy in data entry Basic Excel/reporting skills Trustworthy, organized, and able to work in a high-value environment Job Type: Full-time Pay: ₹30,000.00 - ₹43,000.00 per month Schedule: Day shift Application Question(s): Need to have experience in jewelry industry : yes Timings 11-9PM interested can apply: YES Familiarity with inventory software (Tally / Marg ERP / JewelERP, etc.) : YES Handle barcode tagging, SKU labeling, and product coding : YES Salary up to 40k take home interested can apply: YES Experience: Inventory management: 2 years (Preferred) Work Location: In person

Job responsibilities: 1) Dispensing drugs prescribed by Doctor. 2) Provide dosage instructions to the patient. 3) Organize the pharmacy in an efficient manner to make the identifications of products easier and faster. 4) Billing and payment coordination. 5) Maintaining stock register and ensuring the Minimum stock positions for slow moving and fast moving medicines. 6) Giving update to the Doctor for slow moving medicines. 7) Maintain full control over delivering, stocking and labeling of medicines & other consumables along with monitoring their conditions to prevent expiring or deteriorations. 8)Manages pharmacy operations, supervising staff and clinical operational requirements, performing administrative duties. 9) Comply with all applicable legal rules, regulations and procedures. Job Types: Full-time, Permanent Pay: ₹12,000.00 - ₹18,000.00 per month Ability to commute/relocate: Angamally, Kerala: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Required) Experience: Basic computer: 1 year (Preferred) total work: 2 years (Preferred) Pharmacist: 1 year (Required) Language: English (Required) License/Certification: Registered Pharmacist - Pharmacy Division, (Required) Pharmacist license (Required) Work Location: In person Application Deadline: 31/08/2025

Company Overview: We are one of the pioneers in the field of advanced medical diagnostics in Trivandrum. The organization is well-reputed for its professionalism and for precise diagnosis. We are hiring a Public Relation officer to be based at Medical College, Trivandrum. Job Title: Phlebotomy (Blood Collection) Executive Experience: DMLT under DME (Diploma in Medical Laboratory Technology) Freshers can apply For Non-DME (+2 Science): Minimum 1 year of experience in blood collection Qualification: DMLT under DME (Diploma in Medical Laboratory Technology) OR +2 Science with relevant experience Location: Thiruvananthapuram Salary: ₹8,000 per month Age Limit : Below 35 Yrs Key Responsibilities: Perform blood sample collection from patients at the lab or in the field/home settings. Ensure accurate labeling, documentation, and safe transportation of collected samples. Maintain hygienic and sterile environment during sample collection. Adhere to all phlebotomy protocols and safety guidelines. Coordinate with laboratory and support staff for timely processing of samples. Eligibility Criteria: Must have a valid two-wheeler driving license and own a two-wheeler. Willingness to work in rotational shift duties between 6:00 AM and 8:00 PM . Good communication and patient-handling skills. Basic understanding of phlebotomy procedures and equipment handling. Preferred Attributes: Punctual, detail-oriented, and reliable. Friendly and respectful approach towards patients Job Type: Full-time Pay: From ₹10,000.00 per month Job Type: Full-time Pay: From ₹10,000.00 per month Job Type: Full-time Pay: From ₹10,000.00 per month Schedule: Day shift Work Location: In person Application Deadline: 05/08/2025 Expected Start Date: 09/08/2025

Please call 9947350555 more details Receiving incoming merchandise and verifying that they are undamaged and of sound quality. Weighing and counting received items. Assisting warehouse staff in retrieving specified merchandise from storage as per the delivery or shipping orders. Preparing merchandise for delivery or shipping by packaging and labeling them accordingly. Moving all outgoing merchandise to the delivery area. Ensuring that all merchandise is properly secured in the delivery vehicles to prevent damage during transit. Maintaining accurate records of all incoming and outgoing merchandise. Utilizing warehouse lift equipment to load and unload merchandise as well as move, lift, or stack merchandise as needed. Organizing warehouse merchandise and stacking them on shelves and racks in accordance with company guidelines. Performing all duties necessary to maintain warehouse cleanliness, which includes sweeping, mopping, and dusting as needed. Job Type: Full-time Pay: ₹15,000.00 - ₹17,000.00 per month Benefits: Health insurance Provident Fund Education: Diploma (Preferred) Language: Malayalam (Preferred) Work Location: In person

Minimum Required Experience : years Full Time Skills Production process knowledge communication Basic Computer Skills Description Oversee Shift Operations: Supervise and manage footwear production activities during the assigned shift to ensure that production targets are met. Ensure smooth running of the manufacturing process, from material preparation to final product assembly. Maintain optimal production speed while ensuring product quality and adherence to safety standards. Production Issue Analysis & Resolution: Monitor production lines to identify and address any issues, such as machine breakdowns, material shortages, or quality defects. Work with technical teams to troubleshoot and resolve operational challenges quickly to minimize downtime and ensure on-time production. Communicate and escalate critical production issues to Lead / UMC for timely intervention. Shift Support and Post-Production: Provide hands-on support during the shift to ensure production workflows are uninterrupted. Monitor post-production activities including packaging, labeling, and quality checks. Ensure a smooth handover of responsibilities at the end of the shift to the next shift team. Manpower and Team Management: Manage the production workforce during your shift, ensuring all tasks are assigned efficiently. Ensure that all team members adhere to safety and quality standards. Monitor employee performance, provide feedback, and escalate any issues related to workforce performance or discipline to supervisors. Production Planning Assistance: Assist in the coordination and execution of production schedules and plans. Monitor daily production outputs and report deviations from the planned schedule. Collaborate with the planning team to ensure that material availability aligns with the production schedule. Quality Control Support: Ensure that footwear products meet company quality standards throughout the production process. Supervise quality checks at various stages of production, ensuring that any defective products are flagged and corrected. Support in implementing corrective and preventive actions (CAPA) to address quality issues. Safety and Compliance: Enforce strict adherence to workplace safety rules and regulations. Ensure that all staff follow proper handling, storage, and disposal procedures for materials and finished products.

Packaging Design: Develop creative and innovative packaging designs that align with client briefs, brand guidelines, and industry standards. Label and Layout Design: Create visually appealing labels, product packaging, and box designs that enhance product visibility and appeal on shelves. Material and Printing Knowledge: Understand different packaging materials, printing techniques, and finishes to optimize design for production feasibility. Brand Consistency: Ensure packaging designs maintain consistency with brand identity across different product lines and packaging types. Collaboration: Work closely with cross-functional teams including marketing, product development, and sales to understand project requirements and objectives. Regulatory Compliance: Ensure packaging designs comply with industry regulations, including labeling requirements and product information standards. Project Management: Manage multiple packaging design projects simultaneously, adhering to deadlines and budget constraints. Qualifications: Bachelor’s degree in Graphic Design, Packaging Design, Industrial Design, or a related field (or equivalent work experience). Portfolio showcasing packaging design projects and proficiency in relevant design software. Knowledge of packaging materials, printing processes, and industry trends. Strong creative and conceptual skills with a keen eye for detail and aesthetics. Ability to work both independently and collaboratively in a dynamic, fast-paced environment. Excellent communication skills to effectively present and articulate design concepts. Job Type: Full-time Pay: ₹240,000.00 - ₹340,000.00 per year Benefits: Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Experience: total work: 2 years (Preferred) Work Location: In person

Job Summary: Static Systems Electronics Private Limited is seeking a highly organized and detail-oriented Dispatch Supervisor to manage and oversee the dispatch operations within our manufacturing facility. The role is critical in ensuring timely, accurate, and efficient delivery of products to customers, while maintaining high standards of safety, compliance, and documentation. Key Responsibilities: Supervise and coordinate daily dispatch operations to ensure timely delivery of finished goods. Verify and monitor all outgoing shipments, ensuring they match with invoices and packing lists. Coordinate with production, warehouse, and logistics teams to align dispatch schedules with order requirements. Ensure proper packaging, labeling, and loading of products to prevent damage or errors. Liaise with transporters, delivery partners, and customers to schedule and confirm deliveries. Maintain and update dispatch records, including shipping documentation, gate passes, and transporter logs. Handle any delivery-related issues such as delays, route changes, or customer complaints. Supervise and train dispatch staff, drivers, and helpers to ensure compliance with standard operating procedures. Ensure dispatch area is clean, organized, and compliant with safety regulations. Continuously work on improving dispatch efficiency and reducing turnaround time. Qualifications & Skills: Graduate or Diploma in Logistics, Supply Chain, or a related field. Minimum 3–5 years of experience in dispatch or logistics operations in a manufacturing setup. Strong leadership and team supervision capabilities. Familiarity with ERP/Inventory Management Systems is preferred. Excellent communication and interpersonal skills. Strong organizational and time-management abilities. Knowledge of transportation rules, E-way bills, and relevant compliance. Work Environment: Based in our factory/warehouse at Sector 37, Gurugram. Requires occasional lifting and supervising physical dispatch activities. May require flexible working hours depending on dispatch needs. Job Type: Full-time Pay: From ₹20,000.00 per month Benefits: Flexible schedule Provident Fund Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Dispatching: 2 years (Required) Work Location: In person Application Deadline: 03/08/2025 Expected Start Date: 04/08/2025

Job Purpose: Provide medical review, analysis and guidance during the case handling and reporting cycle of Adverse Event and Adverse Reaction reports received for investigational and marketed products Provide medical guidance and input to Drug Safety Associates (DSAs) and specialists in medical aspects of drug safety Provide medical advice/input for narratives written for Clinical Study Reports (CSRs) General: Maintaining a good working knowledge of the Adverse event profile of assigned products, labeling documents, data handling conventions, clients guidelines and procedures, and international drug safety regulations Maintaining an awareness of global regulatory requirements and reporting obligations and organizing workload to ensure compliance with internal and regulatory timelines for adverse event reporting Maintaining excellent knowledge of the safety profile of assigned products Communicating and discussing issues related to review process with Project Manager Interacting with internal and external contacts for resolving issues Maintaining a good working knowledge of relevant regulatory guidelines Attend and present client/cross functional meetings along with other stakeholders Training and mentoring new team member, as required Working as Subject Matter Experts (SMEs) Assisting the Manager for inspection readiness activities and audits Provides inputs for process improvisations Works closely with Manger for process co-ordination and to ensure meeting all KPIs for the process. Case report Medical Review Performing medical review of cases according to client Standard Operating Procedures (SOPs) and liaising with the client, as required Writing Pharmacovigilance/Marketing Authorization Holder (MAH) comment and assessing company causality Assessing seriousness and expectedness of reported events Providing medical advice to DSPs and case processing team Literature review (as applicable) Review of literature for product safety assessment and potential safety issues Skills: Excellent interpersonal, verbal and written communication skills Computer proficiency, an ability to work with web-based applications and familiarity with the Windows operating system Client focused approach to work A flexible attitude with respect to work assignments and new learnings Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail Ability to assess the clinical relevance of medical data and to interpret its clinical meaning is essential Willingness to work in a matrix environment and to value the importance of teamwork Strong knowledge of international drug regulation including GCP, GVP Knowledge and Experience: 2 Years Relevant experience in Pharmacovigilance/ drug safety is desirable. Education: MBBS/Post Graduation in Medicine with relevant PV experience. #LI-REMOTE

Key Responsibilities: Inventory Management Maintain accurate stock levels using physical registers or ERP systems. Conduct daily, weekly, and monthly stock reconciliation. Ensure reorder levels are monitored and replenishment requests are raised proactively. Receiving & Inspection Receive incoming materials and verify quantity and quality as per purchase orders. Check packaging, expiry (where applicable), and supplier documentation. Issuing Material Issue raw materials, tools, and consumables to departments based on requisitions. Track department-wise consumption. Record Keeping Maintain inward and outward registers manually or digitally (ERP/Zoho Creator). Update stock transactions in real time to avoid discrepancies. Housekeeping & Safety Ensure materials are stored in designated locations with proper labeling and stacking. Maintain cleanliness and follow FIFO/LIFO as per material type. Coordination Coordinate with Purchase and Production for material planning and urgency requirements. Report low stock, overstock, and non-moving items to management. Audit & Compliance Support periodic internal and external audits. Ensure all documents are maintained as per company standards. Required Skills & Experience: Min. 2–3 years experience in storekeeping, preferably in a manufacturing setup. Basic computer knowledge (Excel, email, Zoho Creator or ERP software preferred). Good understanding of stock rotation, safety, and quality handling. Physically fit to handle store logistics. Qualification: Minimum 10+2; Diploma or Graduate in Commerce or Material Management preferred. Job Types: Full-time, Permanent Pay: ₹180,000.00 - ₹300,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected Salary Last Drawn Salary Experience: Store management: 2 years (Preferred) Work Location: In person Expected Start Date: 11/08/2025

Job Summary: We are looking for a reliable and detail-oriented Store Keeper to manage and oversee the inventory and supplies of our organization. The ideal candidate will be responsible for receiving, storing, issuing, and maintaining inventory records in a systematic manner. Key Responsibilities: Receive and inspect all incoming materials and reconcile with purchase orders. Organize and maintain inventory and storage areas. Ensure accurate stock records through regular physical verification. Issue materials based on authorized requisitions. Maintain records of receipts, issues, and inventory balances. Monitor stock levels and raise purchase requisitions as needed. Maintain cleanliness and orderliness of the store. Ensure the proper labeling and tagging of items. Coordinate with the procurement and accounts department for stock updates. Follow safety procedures and company policies at all times. Requirements and Skills: Proven experience as a Store Keeper or similar role. Knowledge of inventory management software. Basic knowledge of bookkeeping and inventory procedures. Strong organizational and time-management skills. Attention to detail and accuracy. Ability to work independently and as part of a team. Minimum 12th pass or graduate. Job Types: Full-time, Fresher Pay: ₹11,000.00 - ₹15,000.00 per month Benefits: Health insurance Life insurance Paid sick time Provident Fund Schedule: Day shift Work Location: In person

Job Title: IPQA Officer / Executive Department: Quality Assurance Location: MAKARPURA GIDC (Formulation Company) Reporting To: IPQA Manager / QA Head Job Purpose: To ensure in-process quality checks and compliance during manufacturing and packaging operations in accordance with cGMP, regulatory guidelines, and company SOPs. IPQA ensures that quality is built into the product during manufacturing and packaging processes. Key Responsibilities:1. In-Process Checks: Perform in-process checks during manufacturing and packaging (e.g., weight variation, hardness, friability, disintegration, etc. for tablets). Monitor critical process parameters (CPP) and ensure adherence to batch manufacturing records (BMR) and batch packaging records (BPR). Line clearance at every stage (dispensing, granulation, compression, coating, primary and secondary packaging). Check cleanliness and status labeling of equipment and manufacturing areas. 2. Documentation and Compliance: Review and ensure correctness of in-process documents like BMRs and BPRs. Real-time documentation of deviations, incidents, and change controls. Ensure compliance with GMP, GDP, and company policies. 3. Sampling and Testing: Perform sampling of in-process materials, intermediates, and finished products as per SOP. Collect environmental and line clearance samples, if applicable. 4. Deviation and Incident Handling: Identify and report process deviations, incidents, or non-conformities. Support investigation and implementation of CAPA (Corrective and Preventive Actions). 5. Training and Audit Support: Provide on-the-job GMP training to operators and production personnel. Support internal/external audits (regulatory and customer). Ensure readiness of manufacturing area for audit and inspections. Key Skills and Competencies: Knowledge of GMP, GDP, and regulatory compliance. Good documentation practices. Attention to detail and problem-solving attitude. Basic knowledge of instruments like pH meter, balance, hardness tester, etc. Communication and coordination skills. Qualifications and Experience: Education: B.Pharm / M.Pharm / B.Sc / M.Sc in relevant field. Experience: 1–5 years of experience in IPQA in a pharmaceutical formulation/API manufacturing unit. Job Type: Full-time Pay: ₹9,605.87 - ₹25,000.00 per month Benefits: Paid sick time Provident Fund Schedule: Day shift Morning shift Night shift Rotational shift Weekend availability Supplemental Pay: Overtime pay Yearly bonus Work Location: In person

Job Description TP4 Developer Key Responsibilities Generative AI Systems Design: Architect scalable, high-performance applications powered by Generative AI models (e.g., LLMs, diffusion models), with a focus on real-world usability and business integration. Prompt Engineering & RAG Pipelines: Design and implement optimized prompt strategies and Retrieval-Augmented Generation (RAG) workflows using LangChain and similar frameworks. Agentic AI & Autonomous Workflows: Develop and manage intelligent agents capable of multi-step reasoning, planning, and decision-making using frameworks like LangChain Agents or custom implementations. Vector Store Integration: Design and integrate vector databases for semantic search and document retrieval in GenAI workflows. End-to-End AI Application Development: Build and deploy AI-driven applications from scratch using Python and modern ML/AI toolkits. Ensure clean integration with APIs, databases, and frontend services. Microservices & API Development: Create modular, maintainable backend services using microservices architecture. Ensure RESTful APIs for smooth communication. CI/CD & DevOps: Develop and maintain CI/CD pipelines for model and app deployment. Ensure reproducibility, automated testing, and smooth rollout using tools like GitHub Actions, GitLab CI/CD, or Jenkins. Database Management: Use PostgreSQL and NoSQL databases effectively in storing structured and unstructured data, with focus on performance, indexing, and scaling. Performance Optimization: Continuously monitor, benchmark, and optimize applications for performance, scalability, and cost-efficiency across cloud and on-prem environments. Collaboration & Mentorship: Work closely with product managers, AI researchers, and junior developers. Lead by example and provide technical mentorship in AI system design and production-readiness. Required Qualifications Technical Expertise: Strong proficiency in Python (mandatory) and experience with AI/ML libraries like FastAI, Hugging Face Transformers, and OpenAI APIs. Experience implementing LangChain workflows, prompt chaining, agents, tools, and memory systems. Hands-on experience building RAG systems using vector DBs like FAISS, Pinecone, Weaviate, or Chroma. Solid understanding of Generative AI technologies (LLMs, image/video generation, embeddings). Working knowledge of Agentic AI concepts for building autonomous tools and applications. Backend & Architecture: Strong skills in system design, API development, and microservices-based backend architecture. Experience with PostgreSQL and NoSQL databases (e.g., MongoDB, DynamoDB). Cloud & DevOps: Familiarity with CI/CD pipelines, containerization (Docker), and cloud deployments (AWS/GCP/Azure). Git-based version control and collaborative development workflows. Communication & Leadership: Ability to translate AI research into production-ready applications. Strong collaboration skills and experience leading engineering efforts or mentoring peers. Preferred (Nice To Have) Experience working with LLMOps tools Exposure to data labeling, fine-tuning, or custom LLM training. Familiarity with streaming architectures or real-time AI inference.