2884 Labeling Jobs - Page 9

NOTE : Candidates with only Telangana and AP PCI also can apply. Key Responsibilities: Dispense medications accurately based on prescriptions. Review and interpret prescriptions from doctors. Counsel customers on dosage, usage, and possible side effects of medications. Maintain records of prescriptions, stock, and controlled drugs. Ensure proper storage and labeling of all medications. Maintain cleanliness and organization in the pharmacy. Support pharmacy billing and inventory management systems.

we are hiring phlebotomist cum receptionist Good salary with additional incentives based on performance Roles & Responsibilities Patient Identification and Preparation: Verifying patient information and explaining the blood draw procedure. Blood Collection: Performing venipunctures and finger sticks to collect blood samples. Specimen Handling: Ensuring proper labeling, storage, and transportation of blood samples. Maintaining Equipment: Keeping phlebotomy equipment clean and in good working order. Safety and Compliance: Following safety protocols, such as aseptic techniques and isolation procedures, to prevent contamination and infection. Receptionist Responsibilities: Front Desk Management: Greeting patients, answering phones, and directing visitors. Appointment Scheduling: Managing appointments for blood draws and other procedures. Patient Records: Maintaining accurate patient records, including demographic information and test results. Administrative Tasks: Handling paperwork, filing documents, and assisting with other administrative duties as needed. Customer Service: Providing a positive and helpful experience for patients and visitors. Communication: Effectively communicating with patients, healthcare professionals, and other staff members. Cash Handling: Managing payments and financial transactions related to services. Intersted candidates call us: 7550110325

Job Description:We are urgently hiring a Pediatric Phlebotomist or Pediatric Nurse for our GK1 Centre, who is deeply experienced in pediatric sample collection — especially in infants, toddlers, and young children. This is a patient-facing role and we are looking for someone who combines clinical skill with empathy and a calm presence for anxious parents and children alike. Key Responsibilities:Perform accurate and gentle blood sample collection from pediatric patients (infants to teens) Manage difficult pediatric pricks with minimum discomfort and maximum reassurance Maintain proper labeling, sample handling, and documentation protocols Ensure strict hygiene and infection control standards during all procedures Comfort and counsel young patients and their caregivers with emotional maturity Required Skills & Qualifications: Nurse (GNM/BSc Nursing) / Lab technician / Phlebotomist with minimum 4-5 years of experience in a pediatric ward Proven expertise in pediatric venipuncture and capillary blood collection High level of confidence, speed, and accuracy in pediatric sampling Fluent in Hindi and basic English; able to handle nervous parents and high-pressure situations Friendly demeanor, punctuality, and high standards of hygiene are non-negotiable What We Offer: Supportive team culture rooted in empathy, junior-first thinking, and integrity Clean, well-equipped centers with safety-first practices Training and growth in high-standard diagnostics Respectful and patient-centric work environment

Job Description: We are hiring Store Helpers to assist in the smooth functioning of store operations. The ideal candidate should be hardworking, punctual, and preferably from the local area or Haryana . Key Responsibilities: Assist in loading and unloading goods Organize and arrange stock on shelves and storage areas Support store staff with inventory and stock checking Maintain cleanliness and order in the store Assist in packing, labeling, and moving materials as required Follow instructions from the Store Manager or Supervisor Requirements: Minimum qualification: 12th Pass Local or Haryana-based candidates will be preferred Physically fit and able to lift moderate weights Punctual, honest, and willing to work in a team Basic understanding of store operations is a plus (not mandatory) Salary: Up to ₹14,000 per month (depending on experience and suitability) Job Type: Full-time Pay: ₹10,000.00 - ₹14,000.00 per month Work Location: In person

Use Your Power for Purpose Every day, our unwavering commitment to quality ensures the delivery of safe and effective products to patients. Our flexible, innovative, and customer-oriented culture is rooted in science and risk-based compliance. Whether you are engaged in development, maintenance, compliance, or research analysis, your contributions have a direct impact on patient care. By being part of our team, you help uphold a quality culture that adapts and evolves to meet the needs of patients, ensuring that every product we deliver is of the highest standard. What You Will Achieve In this role, you will: Assist in the preparation and maintenance of media stocks, including sterilization of accessories by autoclave cycles. Manage receipt, storage, and handling of Bio ball cultures, and assist in the maintenance of Master cultures and preparation of Cryo vials. Perform various microbiological tests such as water analysis, Microbial Limit Test, Sterility tests, Bacterial Endotoxin Test, CCIT, and micro challenge studies. Ensure training records are updated and correctly filed to reflect current testing capabilities. Perform sampling and labeling of materials as per defined procedures and verify all equipment and instruments. Interpret and evaluate data for accuracy, precision, trends, and potential cGMP impact, recommending appropriate corrective actions. Ensure all documentation and quality records comply with Good Manufacturing Practices and Good Laboratory Practices and are filed according to existing policies. Review and revise Standard Operating Procedures, analytical methods, and related documents to keep them current. Conduct analyses on finished products, raw materials, and components, including data entry, review, and approval in a computerized database, and generate EMS reports. Contribute to the completion of complex projects, manage time effectively to meet targets, and develop plans for work activities within a team, while exercising judgment with reliance on supervisor and working under their direction. Here Is What You Need (Minimum Requirements) Master's degree in microbiology with minimum of 3 year's experience Demonstrated technical skills in method validation and testing Ability to read and understand applicable compendial methods, Standard Operating Procedures, technical procedures, and governmental regulations Knowledge of Good Manufacturing Practices and its application standards, processes, and policies. Excellent organizational skills and strong ability to multi-task Strong written and verbal communication skills Proficiency with unique Quality Control instruments to meet accuracy specifications for sample management, retains management, interpretation, and evaluation Bonus Points If You Have (Preferred Requirements) Experience with laboratory work, particularly microbiological techniques Proven track record in leading continuous improvement projects Strong knowledge of lean manufacturing principles, six sigma methodologies, and statistical analysis Strong problem-solving skills and attention to detail Ability to manage multiple priorities and meet deadlines. Excellent interpersonal skills and the ability to communicate effectively with colleagues at all levels Adaptability and willingness to learn new techniques and procedures Work Location Assignment: On Premise Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Quality Assurance and Control #LI-PFE

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description The mission of the Shopping Core Foundations Human In the Loop (HITL) team is to build tools and capabilities used across Shopping teams to annotate data for LLM and Shopping ML models. We enable model builders to source the data they need to build, evaluate and improve their models. Key job responsibilities The Shopping Core Foundations team seeks a talented Software Development Engineer to lead our Root Cause Analysis (RCA) initiative. This greenfield project aims to revolutionize how we analyze and improve machine learning models across Search, Rufus/GenAI, and Alexa Shopping. You'll develop a cutting-edge RCA system that transforms issue identification and resolution in our complex systems, directly impacting customer experience. This role requires deep understanding of large-scale systems and ML models, with opportunities to integrate the tool with backend systems and ML models. Based in India, you'll work closely with the tool's primary users, offering a unique chance to observe its application and drive continuous improvements. Your customer obsession will be crucial in enhancing the tool to empower operations teams to generate actionable insights for model and CX improvements. Your work will have far-reaching impact across multiple business lines and new CX developments. You'll simplify complex processes, making them more user-friendly and efficient, contributing significantly to the evolution of our shopping platforms. Join us in building a tool that will be central to our continuous improvement efforts, driving innovation and excellence in our global shopping experiences. A day in the life Contribute to the design and implementation of scalable solutions for data selection, RCA-specific data labeling, analysis, and corrective action stages of the RCA process. Collaborate with cross-functional teams including a large annotation team, shopping domain teams, product managers, and ML scientists to understand their needs and implement effective solutions. Develop and maintain components of the RCA tool, including both frontend and backend systems. Optimize data processing workflows to reduce time and complexity in the RCA process. Write clean, maintainable code and contribute to the team's technical documentation. Participate in code reviews and support continuous improvement of development practices. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience with developing user interfaces for data analysis tools. Familiarity with machine learning concepts and their application in data analysis. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job Title: Labeling Designer Exp: 3 - 5 Years Location: Bengaluru Notice period: Immediate to 30 Days Job Description Work experience on end-to-end labelling and artwork management, integration with enterprise applications and also migration from on-prem to cloud implementation (Priysm, Spectrum & Nice label) Understand customers' technical and business requirements for Loftware product solutions Drive scope definition, requirements analysis, functional/technical design, and performance Perform installation, configuration, deployment, design, administration, and maintenance of high availability solutions that implement industry standards using AWS and/or On-Premise Manage the technical proposal process and ensuring that all technical information and recommendations addressing customer requirements are accurate, properly defined and detailed Customize and configure the technical solution, provide business consulting & advisory thoughts on the solution. Working knowledge on Medical Device labeling Standards Experience with Loftware labeling and UDI for medical devices. Awareness on Labeling Maturity Model Assessment Efficient Solution provider for impacting labeling and packaging artwork today Potential to digitalizes and streamlines supply chain quality control with Loftware SAP integration Knowledge on Labeling Supply chain procedures and process Capable to accelerate Go-to-Market with Cloud-based Labeling Good Understanding on Artwork Management Process To manage supply chain operations through Supplier Compliance.

Job Title: Inventory Control Specialist Location: Dubai Employment Type: Full-Time On site Job Salary : INR 70000 / AED 3000 Job Overview A leading flexible packaging manufacturer is seeking a seasoned Inventory Control Specialist with 7+ years of experience to take ownership of inventory issuance, tracking, and accuracy across all production operations. This role is vital in ensuring the efficient flow of materials and maintaining optimal inventory levels in a high-demand manufacturing environment. Key Responsibilities Manage the issuance and return of raw materials, consumables, and finished goods from warehouse to production and back. Maintain and update inventory records in real time using ERP or inventory management software. Collaborate with production, procurement, and warehouse teams to align stock levels with operational needs. Lead and coordinate regular physical inventory counts and cycle counts; investigate and resolve variances. Monitor inventory turnover, identify excess or obsolete stock, and suggest optimization strategies. Enforce FIFO/FEFO standards and ensure proper labeling and documentation of all materials. Track and report shrinkage, damages, and non-compliance to management. Generate detailed weekly and monthly reports on inventory usage, balances, and trends. Support internal and external audits, and ensure compliance with quality and safety regulations. Qualifications Minimum 7 years of hands-on experience in inventory control within a flexible packaging or manufacturing environment. Strong understanding of materials used in flexible packaging (films, inks, adhesives, etc.). Proficient in ERP and inventory systems such as SAP, Oracle, Zoho, or similar platforms. Exceptional attention to detail with strong problem-solving and organizational skills. Capable of managing inventory processes independently in a fast-paced production setting. Familiar with warehouse operations, safety practices, and quality compliance protocols. Preferred Skills Experience implementing barcode or QR-based inventory tracking systems. Familiarity with ISO and other quality control systems. Experience in setting up or improving inventory workflows and storage optimization. What’s Offered Competitive salary commensurate with experience. Opportunity to take a leadership role in inventory management within a dynamic production environment. Supportive and collaborative work culture. Standard company benefits package. (Includes Medical insurance, Visa Cost, Air Ticket, 30 Days Paid Annual Leave)

Date: 21 Jul 2025 Location: Bangalore, KA, IN, 560100 Custom Field 1: Discovery Services About Syngene Syngene International Ltd. (BSE: 539268, NSE: SYNGENE, ISIN: INE398R01022), is an integrated research, development and manufacturing services company serving the global pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical sectors. Syngene’s 4500+ scientists offer both skills and the capacity to deliver great science, robust data management and IP security and quality manufacturing, at speed, to improve time-to-market and lower the cost of innovation. With a combination of dedicated research facilities for Amgen, Baxter, Bristol-Myers Squibb and Herbalife, as well as 1.9 Mn sq ft of specialist discovery, development and manufacturing facilities, Syngene works with biotech companies pursuing leading edge science as well as multinationals including GSK and Merck KGaA. Timely arrangements for sample collection stations as per the requirement of the study with all necessary items. Handling of bio samples [as applicable] includes collection, receipt, centrifugation, separation storage and shipment. Segregation and shipment of bio samples to the identified laboratory. Maintain temperature records of Deep freezers. Maintenance of the instruments/equipment’s like centrifuge, freezer, data logger, thermo-hygrometer and pipettes in co-ordination with maintenance personnel & Head HPU. Arranging dry ice as required. Management of bio waste disposal. Labeling the vacutainers and RIA vials. Collection of urine and blood samples for screening and safety analysis. Maintenance of racer stop watch. Maintain temperature monitoring log for respective area. To ensure that the entire laboratory test is performed as per the protocol and filing the lab reports. Performance of breath alcohol test and blood glucose testing by Glucometer as per study protocol requirements. To carry out any other responsibility as and when assigned by the Head-Human Pharmacology Unit / Head-Syngene Clinical Development.

As a Packaging Assistant in the chemical industry, you will be responsible for assisting with the packaging and labeling of chemical products. Your primary focus will be on ensuring compliance with safety and quality standards. This includes preparing products for shipment, maintaining packaging equipment, and adhering to regulatory guidelines to guarantee safe and efficient packaging processes. Your role will require you to work closely with the packaging team to meet production requirements and deadlines. Attention to detail is crucial to ensure that all products are correctly packaged and labeled. Additionally, you will play a key part in maintaining a clean and organized packaging area to support overall operational efficiency. To excel in this position, you should have a minimum qualification of Any Graduate and possess 2-4 years of relevant experience in packaging within the chemical industry. Strong communication skills and the ability to work effectively in a team are essential for success in this role. If you are looking for a challenging yet rewarding opportunity to contribute to the packaging operations of a chemical company while upholding safety and quality standards, this role could be the perfect fit for you.,

We are hiring a field-focused Business Development Executives for our Brand Quant CCTV Solutions to grow our B2B customer base across Delhi NCR and pan India as well. The role involves visiting markets and identifying retail shops, system integrators, and dealers who sell CCTV cameras and surveillance solutions to end-users. Your job will be to onboard them as clients, promote Quant CCTV’s offerings (both branded and private label), and build long-term business relationships. Key Responsibilities:Actively visit electronics markets, CCTV dealers, retail counters, and system integrators to generate new B2B leads. Identify businesses that sell CCTV products directly to end-users—through retail shops, counters, or service operations. Present and promote Quant CCTV’s branded products and private labeling options to potential clients. Conduct in-person product demos and clearly explain features, benefits, and pricing. Convert leads into sales and build a strong client pipeline. Achieve monthly sales targets and provide regular reporting. Collect and share real-time market feedback and competitor analysis. Maintain strong follow-up and long-term client relationships. Travel regularly within Delhi NCR and other cities as required. Candidate Profile Min 3 years of B2B field sales experience, preferably in CCTV, electronics, security solutions, or hardware. Must be street-smart and confident while dealing with local retailers, resellers, and business owners. Excellent communication and interpersonal skills. Strong sales drive and ability to work independently in the field. Knowledge of CCTV products or a technical bent of mind is a plus. Willing to travel extensively within city and region. What We Offer:Fixed Monthly Salary (as per experience & performance) Attractive Sales Incentives – uncapped earnings for top performers Travel Allowance / Reimbursements Opportunity to work with an established brand with over 15 years of industry legacy Fast career growth for top performers (Area Manager / Regional roles)

The job involves image annotation and labeling tasks such as drawing and annotating bounding boxes, polygons, segmentations, Lidar, etc. Candidates eligible for this position should possess basic computer skills and be proficient in keyboard and mouse operations. Freshers with a computer science background and no backlogs are preferred. Candidates currently pursuing college in regular or correspondence courses cannot be considered. Immediate joiners are required for this role. The job entails working in rotational day shifts with rotational week offs. Interested candidates can share their updated CV to jobs@infosearchbpo.com or contact HR at 044-42925000. Alternatively, candidates can walk-in for an interview at: Infosearch BPO Services Pvt Ltd, No.237, Peters Road, Gopalapuram, Chennai - 600 086. Landmark: Near Satyam Cinemas. Interviews are scheduled from Monday to Saturday between 10 am to 5 pm. Number of Openings: 50 To apply for the job, candidates need to solve the mathematical equation provided and submit the answer.,

Job description 🚀 Job Title: AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world.

Job description 🚀 Job Title: ML Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the ML Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in / vishnu.sethi@cur8.in Subject Line: Application – ML Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world.

🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world.

We are looking for a passionate and knowledgeable Nutritionist to collaborate in creating and validating healthy salad recipes. This is a flexible contract/freelance opportunity ideal for professionals who are excited about clean eating, innovative food products, and making an impact through nutrition. --- Key Responsibilities Work closely with our product team to develop salad recipes that are: Nutritious Well-balanced (macro & micronutrients) Targeted for specific dietary needs (e.g. weight loss, energy boosting, immunity, etc.) Provide nutritional breakdowns (calories, proteins, carbs, fats, fiber, etc.) for each recipe. Review and refine ingredient combinations to meet FSSAI and general nutrition standards. Suggest ingredient alternatives for allergen-free or specialized diets. Assist in labeling guidelines, health claims, and consumer communication. --- Requirements Certified Nutritionist/Dietitian with relevant credentials. Proven experience in recipe formulation or product development (preferred in healthy/functional foods). Strong understanding of Indian food habits and dietary requirements. Ability to work independently with minimal supervision. Excellent communication and documentation skills. --- Engagement Type: Contractual/Freelance. Remote work with flexible hours. Compensation based on scope and experience. --- Why Join Us? Work with a fast-growing startup in the Agrotech sector. Shape the future of healthy eating in India. Contribute to an impactful product line that promotes sustainability and wellness. Job Types: Contractual / Temporary, Freelance Experience: relevant : 1 year (Required) Work Location: In person

Job Responsibilities: Pick and pack products as per order list Ensure correct labeling and packaging of items Maintain cleanliness and organization in the warehouse Follow safety and company guidelines at all times Support inventory checks and stock management Requirements: Minimum qualification: 12th pass+ Diploma in logistics(Required) Basic reading and counting skills Physically fit and able to lift packages Punctual, reliable, and team-oriented Job Types: Full-time, Permanent Pay: Up to ₹13,718.00 per month Benefits: Health insurance Provident Fund Work Location: In person

We are looking for a dedicated and detail-oriented Store Incharge to manage the storage and supply of food ingredients, beverages, and restaurant essentials. The ideal candidate will be responsible for inventory control, stock replenishment, and ensuring timely availability of all kitchen and bar supplies. Your role will be crucial in maintaining smooth kitchen operations and supporting overall restaurant efficiency. Key Responsibilities: Receive, inspect, and store all incoming kitchen, bar, and housekeeping supplies. Maintain an organized storage system with proper labeling, stacking, and FIFO (First-In, First-Out) compliance. Track daily stock levels and usage patterns; coordinate with chefs and bar staff to plan purchases. Prepare purchase orders and liaise with vendors for timely deliveries. Conduct regular stock audits and minimize wastage, pilferage, or spoilage. Maintain hygienic conditions in the store area, ensuring compliance with food safety standards (FSSAI). Update stock movement in software or manual registers and prepare reports for management. Dispose of expired or damaged items as per restaurant protocols. Ensure timely supply of ingredients and materials to kitchen and service staff. Coordinate with finance/accounts for vendor bills and inventory reconciliation. Required Skills & Qualifications: Minimum 12th pass; diploma/degree in Hotel Management or relevant field is a plus. 2+ years of experience in storekeeping/inventory management in a restaurant, hotel, or catering setup. Knowledge of food storage practices and basic understanding of perishable/non-perishable items. Proficiency in inventory management software or MS Excel. Strong organizational and time-management skills. Attention to detail and ability to work in a fast-paced F&B environment. Job Type: Full-time Pay: From ₹300,000.00 per year Benefits: Flexible schedule Food provided Schedule: Day shift Morning shift Rotational shift Work Location: In person

QA Tester – Machine Learning Experience: 1–2 Years Location: Netaji Subhash Place, Delhi Employment Type: Full-time Job Summary: We are looking for a passionate and detail-oriented QA Tester with 1–2 years of experience to join our AI team. In this role, you will work closely with AI-ML engineers and software developers to ensure the quality and reliability of ML models, data pipelines, and model-integrated applications. Key Responsibilities: Design, develop, and execute test plans and test cases for ML models and data pipelines. Validate model outputs against ground truth datasets, with a focus on evaluating classification performance metrics like accuracy, precision, recall, F1-score, and ROC-AUC. Perform functional, regression, and integration testing for applications incorporating ML models. Collaborate with ML engineers to ensure testability and performance of models. Write scripts to automate model testing and data validation. Identify, record, document, and track bugs and model anomalies. Ensure data quality and consistency in training and inference pipelines. Test and validate APIs serving ML models in production. Contribute to continuous improvement of QA processes and tools. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 1–2 years of experience in QA/testing roles, preferably in ML or data-heavy environments. Solid understanding of QA methodologies, tools, and processes. Experience in testing REST APIs and working with tools like Postman or Swagger. Basic knowledge of Python, with experience in test automation using PyTest or similar frameworks. Familiarity with ML concepts and Docker. Hands-on experience working with structured/unstructured datasets. Ability to write clear, concise, and comprehensive test cases and test reports. Preferred Qualifications: Experience with ML libraries like scikit-learn, TensorFlow, or PyTorch. Exposure to data annotation, labeling, or synthetic data generation tools. Familiarity with version control systems (e.g., Git) and CI/CD workflows. Knowledge of SQL or MongoDB for data validation. Understanding of data drift, model degradation, and ML lifecycle monitoring. Why Join Us? Work on real-world ML products with a measurable impact. Collaborate with a dynamic and skilled team. Opportunity to grow in both QA and ML domains. Flexible work environment and supportive culture. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person Speak with the employer +91 8178295650

DESCRIPTION Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 18 to 22 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below: Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics Prepares data in business meetings/reviews and presents to senior managers and stakeholders Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management Owns and prioritizes work allocation based on business needs with a daily/monthly frequency Owns the output quality of the process managed Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas Participates and provides adequate support in business reviews with mid-level and senior leadership Participates in new- process onboarding, i.e., new process/ experiments with complete documentation Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc. Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism Provides regular coaching and feedback to direct reports Devises and implements performance improvement plans for associates as applicable Identifies and works with top performers for talent development and creates a leadership pipeline for own level Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products BASIC QUALIFICATIONS A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. Excellent communication (written & oral), strong organizational skills and detail oriented Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary PREFERRED QUALIFICATIONS Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Operations, IT, & Support Engineering

Key Responsibilities: Inventory Management: Maintain accurate stock records for raw materials and finished goods. Monitor stock levels and initiate reordering when needed. Conduct regular physical stock audits and reconcile differences. Manage inward and outward stock entries in Tally or ERP systems. Ensure systematic storage, labeling, and cleanliness of inventory areas. Dispatch Supervision: Coordinate daily dispatch schedules based on order priorities. Liaise with transporters and ensure timely deliveries. Supervise loading/unloading and ensure correct packaging and dispatch. Maintain dispatch logs and report to management on daily basis. Candidate Requirements: Minimum 3 years of experience in dispatch/logistics/inventory control (preferably in a manufacturing setup). Strong command of MS Excel, Tally/ERP systems. Good knowledge of warehouse and dispatch documentation. Excellent coordination, planning, and time management skills. Must be detail-oriented and reliable. Salary: ₹25,000 – ₹40,000/month (Negotiable based on experience) Additional Benefits: Travel allowance (if applicable) and career growth opportunities. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person

Company Description Cashify is India’s first and largest end-to-end smartphone solution provider. We offer services to help you buy the best smartphone with our easy-to-use buying guide, purchase trendy mobile accessories, and get your smartphone repaired by our skilled technical team at affordable prices. You can also shop from our wide range of refurbished smartphones with a 6-month warranty or sell your used smartphone right from your doorstep and get instant cash on the spot, with zero hassles. Role Description This is a full-time on-site role for a Data Annotator located in Noida. The Data Annotator will be responsible for labeling and categorizing data, ensuring accuracy and consistency in annotation, and collaborating with the team to refine guidelines and improve data quality. The role will involve working with large datasets, analyzing patterns, and providing feedback to enhance data processing workflows. Qualifications Experience in labeling and categorizing data, and ensuring data accuracy Attention to detail and the ability to spot inconsistencies in large datasets Excellent analytical and problem-solving skills Ability to work collaboratively in a team environment Effective communication skills, both written and verbal Basic knowledge of data processing tools and software Prior experience in data annotation or a related field is a plus Relevant educational background in Computer Science, Data Science, or related field

Position: QC Inward Executive (Food Industry) Role Summary The QC Inward Executive is responsible for inspecting, sampling, and testing all incoming raw materials and ingredients to ensure they meet defined quality, safety, and compliance standards. This role supports the seamless flow of the production line by verifying material quality at intake and flagging any deviations early. Key Responsibilities Raw Materials Inspection Conduct thorough visual inspections and quality checks on all incoming materials (ingredients, packaging) to ensure compliance with specifications. Measure parameters such as moisture, pH, purity, or contaminants. Sample Collection & Testing Collect random samples for testing (chemical, microbiological, physical) either in-house or via external labs. Compare against approved standards/specifications and document outcomes. Record Keeping & Reporting Maintain detailed logs of inspection results, test findings, and any deviations. Generate reports to inform higher QC levels, procurement, and production teams. Equipment Calibration & Maintenance Ensure measuring equipment (scales, moisture meters, pH meters, etc.) are calibrated regularly; coordinate repairs or replacements as needed. Supplier & Batch Verification Verify supplier credentials, batch compliance, certificates of analysis, and proper labeling. Work with procurement to update the approved supplier list. HACCP & GMP Adherence Follow critical control points (CCP) procedures as per HACCP standards. Ensure Good Manufacturing Practices and plant hygiene protocols for incoming materials are observed. Deviation Handling & Corrective Actions Highlight non-conformance issues, initiate corrective steps (quarantine, rejection, supplier feedback) and monitor resolution. Training & Awareness Educate warehouse and procurement staff on quality norms and best practices. Provide routine updates and training refreshers related to QC procedures. Continuous Improvement Recommend process enhancements to reduce defects or delays and improve efficiency in inbound QC workflows. Qualifications & Skills Bachelor’s degree (Food Technology, Microbiology, Chemistry, or related) Practical experience in QC/QC-inward roles within food manufacturing or FMCG Good knowledge of food safety systems: HACCP, ISO 22000, FSMS. Familiarity with GMP and relevant regulatory compliance Strong analytical skills; experience with lab testing and record-keeping Excellent communication abilities in delivering findings and collaborating with suppliers and internal teams Attention to detail and strong numerical/measurement proficiency Ability to work independently and maintain calm under production‑pressure conditions Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift

Job Title: Warehouse Manager Location: Chennai Job Type: Full-Time Industry: Retail / Textiles / Home Décor Experience: 2–5 Years Reporting To: Operations Head / Director Job Summary: We are seeking a skilled and detail-oriented Warehouse Manager to oversee the day-to-day operations of our warehouse handling premium silk sarees, home décor items, and related products . The ideal candidate will ensure that inventory is well-managed, orders are fulfilled efficiently, and the warehouse is run in an organized and compliant manner. Key Responsibilities: Oversee the complete warehouse operations including inbound, outbound, storage, and inventory control. Maintain accurate stock levels of silk sarees, fabrics, home décor products, accessories, etc., using inventory management software. Ensure all products are stored properly and safely , especially delicate items like silk sarees that require specific handling and storage. Implement and maintain FIFO/LIFO methods and proper labeling of inventory. Supervise a team of warehouse staff: assign tasks, monitor performance, and provide training where necessary. Ensure timely order processing, picking, packing, and dispatch , especially for e-commerce and retail orders. Monitor shipment tracking, coordinate with logistics partners and ensure on-time delivery. Perform regular stock audits, cycle counts, and reconciliations to maintain inventory accuracy. Identify process improvements to increase efficiency and reduce errors or product damage. Maintain a clean, organized, and safe warehouse environment in compliance with safety and quality standards. Coordinate with the sales and customer service teams for fast-moving or priority items. Handle returns and damaged items appropriately, updating inventory and reporting discrepancies. Requirements: 3–5 years of warehouse management experience, preferably in textiles, garments, fashion retail, or home décor . Strong leadership and people-management skills. Working knowledge of inventory and warehouse management systems (WMS/ERP/Excel) . Familiarity with handling delicate and high-value products like silk sarees and fragile décor pieces. Ability to manage high order volumes during peak/festival seasons. Strong organizational, time management, and problem-solving skills. Good communication skills in English and regional language (Tamil, Telugu, Hindi, etc., as applicable). Basic understanding of e-commerce order flow (if applicable). Preferred Qualifications: Bachelor’s degree or diploma in Logistics, Supply Chain Management, Business Administration , or related field. Certification in Warehouse or Inventory Management is a plus. Prior experience with platforms like Shopify, Unicommerce, or similar is beneficial. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Weekend availability Work Location: In person

Job Description: The Despatch Engineer is responsible for coordinating and executing all activities related to the packing, documentation, and timely dispatch of fabricated sheet metal components. Working under the Project Manager, the Despatch Engineer ensures that materials and products are properly packed, labeled, and shipped as per project requirements and delivery schedules. This role involves close coordination with production, quality, logistics, and project teams to ensure on-time and accurate delivery to clients or project sites. Key Responsibilities: Plan and organize dispatch schedules as per project timelines. Coordinate with production, stores, and quality teams to ensure readiness of items for dispatch. Prepare packing lists, delivery challans, and dispatch documentation. Ensure proper packing, labeling, and handling of components to avoid damage during transit. Track dispatch status and update the project team on delivery progress. Maintain dispatch records and ensure proper documentation for audits. Follow up on material receipt confirmation from clients or sites. Adhere to safety and compliance standards during dispatch activities. Qualifications and Skills: Diploma or Bachelor's in Mechanical Engineering or related field. 1–3 years of experience in dispatch/logistics, preferably in a sheet metal or manufacturing industry. Good knowledge of dispatch documentation and logistics coordination. Strong organizational and communication skills. Familiarity with ERP systems and MS Office. Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Hosur, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Sheet Metal: 1 year (Required) total work: 3 years (Required)