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0.0 years

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Amarpali Circle, Jaipur, Rajasthan

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We are hiring a Packaging Employee to help pack and prepare our products. Your job will be to keep items safe, neat, and ready for delivery. Training will be given. Your Work Will Include: Packing items properly and neatly Checking products for any damage Labeling and sealing packages Keeping your work area clean Following instructions and safety rules Finishing daily work on time Who Can Apply: Must be honest and responsible Can stand and work for long hours Can do simple counting and reading Work well in a team Packaging or warehouse experience is good, but not required What We Offer: Fixed work hours Supportive and friendly team Training provided Job Type: Full-time Pay: ₹8,000.00 - ₹10,000.00 per month Schedule: Day shift Education: Bachelor's (Required) Location: Amarpali Circle, Jaipura, Rajasthan (Required) Work Location: In person

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2.0 years

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Gurugram, Haryana, India

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Job Description As a Machine Learning Engineer specializing in cognitive services, you will play a critical role in developing, optimizing, and deploying machine learning models that enhance the intelligence of our software products. You will work with cross-functional teams to create intelligent applications and services that understand and respond to natural language, images, and more. Key Responsibilities Design, develop, and implement machine learning models and algorithms for cognitive services. Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver innovative solutions. Optimize machine learning models for scalability, efficiency, and performance. Participate in data collection, labeling, and preprocessing efforts to support model training. Stay up-to-date with the latest advancements in machine learning and cognitive services. Conduct research to identify the best AI and ML practices for our Required : Bachelor's or Master's degree in computer science, machine learning, or related field. 2+ years of practical experience in machine learning, deep learning, and natural language processing. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries. Strong programming skills in languages such as Python. Experience in deploying machine learning models into production environments. Knowledge of cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker). Excellent problem-solving and analytical skills. Strong communication skills and the ability to collaborate effectively in a team. Understanding of vector to Have : Experience with computer vision and image recognition. Knowledge of speech recognition and audio processing. Familiarity with chatbots and virtual assistants. Understanding of reinforcement learning. Open-source contributions or personal machine learning projects. Any relevant certifications in machine learning or artificial intelligence. Understanding of the principles of Generative AI or LLM models. (ref:hirist.tech) Show more Show less

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Serilingampalli, Telangana, India

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The SMW will be responsible for authoring the signal management reports including Validations, SERs, HA requests etc. The scientist will support early and late phase development activities as a member of the safety team, providing essential safety oversight and input into all aspects of study management across the entire development and marketed portfolio. In the post-market setting this may include and may include signal evaluation, safety related activities associated with new drug applications/regulatory filings, benefit-risk assessment and safety risk management Perform signal detection review and analysis (qualitative and quantitative) from various sources e.g. regulatory authority database, client database, literatures, regulatory authority websites etc. Responsible for the end-to-end signal management process (i.e. signal tracking, signal assessment/data analysis, leading review meetings, presenting, etc.) in collaboration with the GSO. Conduct/support signal detection and evaluation activities according to SOPs and guidelines Maintaining a good working knowledge of the adverse event safety profile of the assigned drugs, labeling documents, client’s guidelines, procedures and SOPs, and international drug safety regulations Maintaining an awareness of global regulatory reporting obligations and organizing workload to ensure compliance with internal and regulatory timelines for the adverse event reporting Maintaining a good working knowledge of the assigned Clinical studies for narratives Attending/conducting internal, drug safety and project specific training sessions Imparting trainings to the new starts during the induction sessions and the team as required. Skills Analytical and problem-solving skills Excellent interpersonal skills Excellent verbal / written communication skills Excellent organizational and prioritization skills Ability to work collaboratively and effectively in a team environment Client focused approach to work Ability to evaluate data and draw conclusions independently A flexible attitude with respect to work assignments and new learning Ability to negotiate on behalf of the department to ensure resources, timelines and expectations are aligned Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail Fluency in written and spoken English Computer proficiency, IT skills, the expertise and an ability to work with web-based applications, and familiarity with the Windows Operating system and the MS Office suite (Word/Excel/Power Point) Gains trust and establish a connection with the client beyond one's project, to gain repeat business and/or to widen existing scope and services. Provides departmental expertise and perspectives to promote prospective business opportunities. Capability to make concise, accurate and relevant synopses of medical text and data, and the ability to write unambiguous medical text Typing and transcription accuracy Knowledge And Experience Relevant experience is desirable in Regulatory/ Pharmacovigilance or related field. Good knowledge of medical terminologies Education Science/Medicine degree: The minimum qualification required would be a university degree in life Sciences/Health or Biomedical Sciences (Pharmacy, microbiology, Biochemistry, Biotechnology, Biophysics etc.) A degree in Medicine/Dentistry/Physiotherapy/Experimental Medicine/Nursing, which involves patient exposure in hospital-based environment, would be an advantage Show more Show less

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Serilingampalli, Telangana, India

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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 Signal detection/analysis/evaluation and ongoing safety surveillance activities Provide medical guidance and input to Drug Safety associates (DSAs) and specialists in medical aspects of drug safety Function as pharmacovigilance representative/safety scientist General Maintaining a good working knowledge of the Adverse event profile of assigned products, labeling documents, data handling conventions, client’s 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 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 case processing team 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 Good knowledge of medical terminology. Fresher/ relevant experience into pharmacovigilance/ Drug Safety field is preferred. Education MBBS/MD Show more Show less

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0.0 - 1.0 years

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Chandrasekharpur, Bhubaneswar

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Job Title: Store Manager 🏢 Company: SkyyRider Electric Pvt. Ltd. 📍 Location: Near Govt Polytechnic college BBSR 🕒 Work Timing: 9:30 AM to 6:00 PM (Monday to Saturday) 💼 Job Type: Full-Time 📚 Qualification: Any Graduate / Diploma 💰 Salary: 10k to 12k Job Responsibilities: 📦 Manage all inward and outward stock movement at the store. ✅ Keep records of stock – entry, issue, return, and damages. 📊 Do daily stock verification and maintain system accuracy. 🛠️ Ensure proper tagging, labeling, and safe storage of items. 🧾 Prepare delivery challans, GRNs, issue slips, etc. 🗂️ Maintain documents for internal and external audits. 📞 Coordinate with purchase, production, and dispatch teams. 👥 Supervise helpers or store staff and assign their work. 📤 Keep track of fast-moving, non-moving, and expired stock. 💻 Operate basic MS Excel or inventory software. 🧑‍💼 Who Can Apply: ✅ Candidates with 0-1 years of experience in inventory or store operations. ✅ Basic knowledge of Excel, GRN, and stock entry. ✅ Experience in manufacturing or automobile/electric vehicle industry preferred. ✅ Should be honest, punctual, and disciplined. ✅ Must be physically fit and comfortable with warehouse/store environment. How To Apply: Interested Candidate send their resumes to hr@skyriders.in or contact 9124587401

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0.0 - 31.0 years

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Wagholi, Pune

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Job Title: Store Executive Department: Stores / Inventory Management Location: Sanaswadi, Pune Job Summary: The Store Executive is responsible for managing the day-to-day operations of the store, including inventory control, receiving and issuing materials, maintaining stock records, and ensuring the smooth supply of materials to production and other departments. Key Responsibilities: Issue materials to the production department as per requirement and maintain proper records. Monitor stock levels and initiate purchase requisitions to avoid shortages or overstocking. Conduct regular stock audits and physical verification of materials. Maintain cleanliness and proper arrangement of store items for easy traceability. Ensure proper labeling, storage, and safety of materials as per company policies.

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Mumbai Metropolitan Region

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Location: Worli Reports To: Bakery Manager Job Summary: The Bakery Frontline Officer serves as the first point of contact for customers, ensuring a welcoming, efficient, and high-quality service experience. This role involves assisting customers with purchases, maintaining the presentation of bakery products, handling transactions, and ensuring food safety and cleanliness standards are met. Key Responsibilities: Greet and serve customers in a friendly and professional manner. Provide product information, upsell bakery items, and handle customer inquiries. Operate cash registers, process payments, and issue receipts accurately. Ensure shelves, display cases, and counters are well-stocked, clean, and visually appealing. Assist in packaging and labeling baked goods in accordance with company and hygiene standards. Monitor product freshness and coordinate with the bakery team for restocking or disposing of expired items. Support bakery operations during peak hours, special events, or promotional periods. Follow all health and safety regulations, including food handling and hygiene protocols. Report customer feedback, complaints, or operational issues to the supervisor promptly. Qualifications and Skills: Graduation is required (Bachelor’s degree in Hospitality, Business, or related field is preferred). Relevant hospitality or retail experience is an advantage. Friendly demeanor with excellent communication and customer service skills. Ability to work in a fast-paced environment and multitask efficiently. Basic math skills and familiarity with point-of-sale (POS) systems. Physical stamina to stand for long periods and handle light to moderate lifting. Flexibility to work shifts, including weekends and holidays. Powered by Webbtree Show more Show less

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New Delhi, Delhi, India

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Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details As an Operations Executive you will ensure shipments are sent by the most secure, most rapid and cost efficient manner. You will be responsible for all relevant customs regulations are adhered to for all imports and exports of industrial service shipments. Responsibilities Comply with World Courier Standard Operating Procedures (SOP), which contain specific instructions to take the steps concerning the reception and shipment of materials. Compare the material received with the documentation forwarded in order to certify concordance or disagreement. Prepare box contents according to what´s described on WC Packing List. The Operator must have the training and the capability required to control materials characteristics (described in their labels): ID number, expiration date, patient’s kit, and temperature and storage conditions as well as any additional information that could be useful. The Operator must be specifically trained in order to perform activities related to shipments such as the packaging preparation, box closing and labeling. Perform activities on the Operative System CTM-STAR related to the Inbound, Outbound, Return and Relocation processes. Have deep knowledge and carry out relabeling, stock, balance and relocation processes developed at the Facility. Perform any other duties the employee has been trained for. Requirements Have logistics knowledge ( preferred). Excellent interpersonal relationships. Be able to take initiatives and responsibilities. Computer skills (if applicable) Have previous experience of Booking and preadvise shipments Work Environment The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. What Cencora offers Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements. Full time Affiliated Companies Affiliated Companies: World Courier (India) Private Limited Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned Show more Show less

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8.0 years

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Noida, Uttar Pradesh, India

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Role Overview As a Scrum Master at Dailoqa, you’ll bridge the gap between agile practices and the unique demands of AI/ML-driven product development. You’ll coach cross-functional teams of software engineers, data scientists, and ML engineers to deliver high-impact solutions while fostering a culture of collaboration, experimentation, and continuous improvement. Key Responsibilities Agile Facilitation & Coaching Facilitate all Scrum ceremonies (sprint planning, daily stand-ups, reviews, retrospectives) with a focus on outcomes, not just outputs. Coach team members (software engineers, AI/ML engineers, data scientists) on Agile principles, ensuring adherence to Scrum frameworks while adapting practices to AI/ML workflows. Sprint & Workflow Management Manage hybrid sprints that include software development, data science research, and ML model training/deployment. Maintain Agile boards (Jira, Azure DevOps) to reflect real-time progress, ensuring transparency for stakeholders. Monitor sprint velocity, burndown charts, and cycle times, using metrics to identify bottlenecks and improve predictability. AI/ML-Specific Agile Leadership Adapt Agile practices to AI/ML challenges: Experimentation: Advocate for “spikes” to validate hypotheses or data pipelines. Uncertainty: Help teams embrace iterative learning and fail-fast approaches. Cross-functional collaboration: Resolve dependencies between data engineers, MLops, and product teams. Continuous Improvement Lead retrospectives focused on both technical (e.g., model accuracy, pipeline efficiency) and process improvements. Drive adoption of Agile engineering practices (CI/CD, test automation) tailored to AI/ML workflows. Qualifications Must-Have 5–8 years as a Scrum Master, with 2+ years supporting AI/ML or data science teams . Deep understanding of Agile frameworks (Scrum, Kanban) and tools (Jira, Azure DevOps). Proven ability to coach teams through AI/ML-specific challenges: Model lifecycle management (training, validation, deployment). Balancing research-heavy work with delivery timelines. Managing data dependencies and computational resource constraints. Certifications: CSM, PSM, or equivalent. • Strong understanding of Agile frameworks (Scrum, Kanban) and SDLC principles • Experience working with cross-functional teams including data scientists and AI engineers • Exposure to AI/ML product development cycles, including research-to-production workflows • Familiarity with AI project elements such as model training, data labeling, GenAI experimentation, or MLOps Show more Show less

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2.0 years

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Thane, Maharashtra, India

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Job Summary We are looking for a dynamic and innovative Packaging Development Executive with 2 years of hands-on experience in the Wellness, Personal Care, Food, and Nutraceuticals sectors. The ideal candidate will be responsible for developing functional, cost-effective, compliant, and aesthetically appealing packaging solutions aligned with brand, regulatory, and sustainability objectives. Key Responsibilities Develop and execute packaging solutions for new product launches and existing SKUs in the wellness, personal care, food, and nutraceuticals segments. Work closely with Product Development, Marketing, Regulatory, Quality Assurance, Procurement, and Manufacturing teams. Identify and validate suitable packaging formats such as tubes, bottles, jars, sachets, blister packs, pouches, cartons, and outer shippers. Ensure packaging compatibility with formulations (e.g., oils, creams, powders, capsules, liquids). Conduct line trials, transit tests, stability compatibility checks, and performance validation. Evaluate and manage packaging vendors, materials, molds, and artwork development timelines. Sound understanding of barrier properties, sealing, filling, labeling, and shelf-life requirements. Support sustainability initiatives by recommending recyclable, biodegradable, or lightweight packaging options. Ensure compliance with FSSAI, FDA, GMP, and other relevant regulatory requirements. Prepare and maintain packaging specifications, BOMs, test reports, and documentation for audits. Participate in packaging cost optimization and standardization projects. Key Requirements: PGD in Packaging from reputed Institute (IIP & SIES) Bachelors degree in Polymer Science, Engineering will be added advantage Minimum of 2 years' experience in packaging development in Wellness / Personal Care / Food / Nutraceuticals categories. Knowledge of packaging materials like HDPE, PET, PP, glass, tubes, aluminum foil, blister packs, cartons, and sustainable alternatives. Familiarity with industry-specific compliance and labeling guidelines (e.g., FSSAI, FDA, Legal Metrology). Proficient in MS Office; experience with software like ArtiosCAD or Adobe Illustrator is a plus. Strong communication, supplier coordination, and documentation skills. Preferred Attributes: Passion for innovation and aesthetics in packaging. Problem-solving mindset and attention to technical detail. Exposure to e-commerce packaging requirements is an advantage. Ability to thrive in a fast-paced, cross-functional environment. Locations: Thane Employment Type: Full-Time Experience: 2-4 Years Show more Show less

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3.0 - 5.0 years

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Ahmedabad, Gujarat, India

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Planning and coordinating the initiation of research study protocols Establishing operating policies and procedures, and ensuring that pre-established work scope, study protocol, and regulatory requirements are followed Developing and maintaining recordkeeping systems and procedures Coordinating multiple data collection efforts with various collaborating agencies or institutions Writing and editing of reports and manuscripts Maintaining of financial records for in vivo studies Knowledge of various PK studies, Toxicology studies, efficacy models, xenograft model, etc. Ensure all necessary supplies needed to conduct the study as specified by the protocol and/or SOP are available, properly prepared, and documented. Coordinate the preparation of labels, labeling of sample collection tubes, and other laboratory reagents. Coordinate the preparation of shipment packages for dispatching activities Requirements Master's in Lifescience with 3-5 years of working experience in in-vivo studies Being able to communicate well with the team and collaborators is essential for a coordinator to ensure everyone is on the same page. Possess excellent time management skills to be able to juggle between multiple tasks, manage deadlines, and respond to urgent needs. Contributing to the planning, scheduling, and supporting of In-vivo study execution. Coordinating with the team prior to execution of experiments to confirm study requirements are met. Maintaining various databases and documents that are key to the operations of the In Vivo team Continuously evaluating the workflow and processes in place to ensure optimal resource utilisation and operational efficiency. Excellent data analysis and interpretation skills Able to handle multiple tasks and effectively prioritize High self-motivation to initiate projects and work independently under aggressive deadlines A strong technical knowledge with exceptional attention to detail An excellent personal rapport and an ability to engender trust and respect An ability to work well as part of a small focused team and build relationships An exceptional communication skill and an ease in interaction with all stakeholders An infectious enthusiasm for life, work and making a difference to the world in which we live A bright, friendly, flexible personality with agility to switch between different skill sets An exceptional organisational skill that thrives working in a fast-paced and vibrant team environment Positivity, focus and a winning mentality allied with kindness Curiosity, energy, creativity, and bravery with a strong desire to help to build the o2h culture Locations: Ahmedabad, Gujart, India Show more Show less

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India

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Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for an RLHF (Reinforcement Learning with Human Feedback) Expert . Job Description: Job Title: RLHF (Reinforcement Learning with Human Feedback) Expert Job Type: Full-time Job Location: Remote Work Schedule: Remote Responsibilities: Maxonic, a growing AI firm, is looking for an energetic and committed individual with a passion to push the boundaries of AI and machine learning for its India office. This is an unparalleled, high-impact opportunity to work on cutting-edge alignment research while helping to drive Maxonic forward in the field of applied AI. Dive deep into the world of AI safety and large language models. Work with some of the most advanced RLHF methodologies and help design systems that learn from and align with human intent. Become part of a forward-looking AI team and help bring responsible, human-centered AI to life. Responsibilities: - Design, develop, and optimize Reinforcement Learning with Human Feedback (RLHF) systems for fine-tuning large language models and other generative AI models. - Build and refine reward models using human preference data (rankings, comparisons, scoring). - Collaborate with human annotators, data scientists, and product stakeholders to design effective feedback collection workflows. - Stay up to date with state-of-the-art RL algorithms such as PPO, DPO, and preference-based learning, and apply them in real-world scenarios. - Lead or contribute to projects that integrate RLHF pipelines into broader AI systems and production deployments. Desired Skills and Experience - Undergraduate Degree, preferably in computer science, machine learning, or a related field. - Strong analytical and problem-solving skills, with a curious mindset and eagerness to experiment. - Excellent communication and interpersonal skills. - Demonstrated passion for applied AI, reinforcement learning, and how human-centered systems can add real-world value. - Strong ability to reason through complexity and design robust, safe, and scalable systems. - Comfort in working independently as well as collaboratively in a cross-functional team. Technical Qualifications: The following skills are valued, but not essential: - Experience with RLHF techniques, such as supervised fine-tuning (SFT), reward modeling, and policy optimization using PPO or related algorithms. - Proficiency in Python and familiarity with ML libraries like PyTorch, Hugging Face Transformers, TRL, and RL libraries such as Ray RLlib or Stable Baselines. - Exposure to large language model training or fine-tuning workflows. - Familiarity with prompt engineering, natural language processing, or human-in-the-loop systems. - Understanding of MLOps tools, distributed training, and experiment tracking platforms. - Experience with human data labeling, annotation platforms, or quality control strategies is a plus. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Anjali Soni (anjali@maxonic.com / (408) 400-2334) for more details. Show more Show less

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3.0 - 5.0 years

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Kochi, Kerala, India

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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. STS Service Provisioning - Senior Security Analyst Today’s world is fueled by vast amounts of information. Data is more valuable than ever before. Protecting data and information systems is central to doing business, and everyone in EY Information Security has a critical role to play. Join a global team of almost 950 people who collaborate to support the business of EY by protecting EY and client information assets! Our Information Security professionals enable EY to work securely and deliver secure products and services, as well as detect and quickly respond to security events as they happen. Together, the efforts of our dedicated team help protect the EY brand and build client trust. In Information Security, we combine risk strategy, digital identity, cyber defense, application security, and technology solutions throughout the security lifecycle. You will join a team of hardworking, security-focused individuals dedicated to supporting, protecting, and enabling the business through innovative, secure solutions that provide speed to market and business value. The opportunity The Security Technology Services (STS) group is a division of Information Security that ensures secure access to systems and information for more than 390,000 people in over 150 countries. You will be part of STS DLP Engineering Team specifically to support the Enterprise Data Loss Prevention (DLP) solution. The STS team is responsible for the delivery of DLP Services and the maintenance of the global DLP applications. The team is geographically dispersed and comprises of all disciplines required to deliver Data Security Services for our customers. Your Key Responsibilities The Senior Analyst will be primarily responsible for configuring Data Security Solutions like the enterprise Data Loss Prevention System. The main duties of this role will include helping to translate business requirements to secure data with our technical capabilities, especially overseeing the configuration of the DLP environments in a heterogenous global environment. This role requires strong hands-on experience in leading data security solutions with a strong focus on DLP. It will also participate in Data Access Governance Program development and assist in administering the program. The Senior Analyst will help to supervise and mentor junior analysts on the team. The role will also interface with internal customers, stakeholders and support teams at various levels within the organization including Legal, Data Protection, IT Operations and Engineering. Skills And Attributes For Success Technical knowledge in Data Protection technology (DLP, SIEM, SOAR, Data Access Governance, Networking) Administration of the DLP tools which includes configuring policies, upgrading, and patching, etc Proven effective verbal and written communication skills Ability to independently research and solve technical issues Demonstrated integrity in a professional environment Knowledge of core Information Security concepts related to Governance, Risk & Compliance Excellent teaming skills Ability to work in and adapt to a changing environment Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change Ability to efficiently handle customer concerns and difficult situations with ease and professionalism Essential Functions Of The Job Work with vendors to support the different security technologies Configuration of the Security tools which includes configuring policies, response rules & notifications Work with Monitor & Response team to analyse alerts generating from various systems to tune their configuration Understand and follow the incident response process through event escalations Work with Senior level stakeholders (Risk Management, Compliance & Data Protection) Understand Business requirements and translate into technical controls Ability to work within and alongside diverse, global and virtual teams To qualify for the role you must have Degree in Computer Science, Information Systems, Engineering or a related field. Knowledge of security controls: data classification; data labeling and data loss 3-5 years of experience in one or more of the following: Data Loss Prevention (DLP) Technology support and Event Handling Information Security concepts related to Governance, Risk & Compliance Supporting Information Security Technology English language skills - excellent written and verbal communication Exceptional judgement, tact and decision-making ability Ideally, you’ll also have Demonstrated integrity in a professional environment Ability to work within diverse, global, virtual teams Ability to appropriately balance firm security needs with business impact and benefit What We Look For Good interpersonal, communication and presentation skills Ability to deal with ambiguity and change, and exercise appropriate time management to meet deliverables Prioritization of work items to ensure timelines are achieved Good judgment, tact, and decision-making ability Deep critical thinking skills demonstrating analytical and systematic approach to problem solving Experience working in a global virtual environment Ability to work independently but also within a team environment What We Offer As part of this role, you will work in a highly coordinated, globally diverse team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer: Continuous learning: You will develop the mindset and skills to navigate whatever comes next. Success as defined by you: We will provide the tools and flexibility, so you can make a significant impact, your way. Transformative leadership: We will give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You will be accepted for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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2.0 years

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Bengaluru, Karnataka, India

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Responsibilities Description and Requirements Build services and platform which power TD AI Understand, follow and contribute to TD AI's standards for the software development life cycle Build frontend interfaces for our new products & optimize user experience in our vast product suite Work closely with product and tech team to deliver efficient, maintainable and unit tested software Contribute to the architecture and design of new and existing systems Collaborate with product & business teams to understand customer journeys and solve problems that help TD AI grow. Elevate the skills of the team through technical mentorship Own a functional area from product conception to delivery including the documentation, code quality, UT coverage, etc Participate in of code reviews, writing tech specs, and collaborating closely with other people. Requirements Additional Job Description Strong problem solving skills and are a fast learner Good knowledge of data structures and algorithms At least 2+ years of experience working in front-end development At least experience 2-3+ years experience in React+TypeScript and have strong hold on low level programming/syntax in JavaScript. Experience working on Redux / Vue / Angular is a plus. At least 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems Understanding of web bundling tools like webpack and vite. Knowledge of object oriented architecture & design patterns and have extensively worked on implementing them A team player and should be able to give and receive constructive feedback Exposure to frameworks and libraries like t hree.js , konva.js and antd is a plus. A passion for learning new technologies to deliver exceptional products. Benefits Work with a world class team working on a very forward looking problem. Competitive salaries. Medical/Health insurance for the self & family A reward system that recognizes your hard work and achievements. Get ready for surprise gifts whenever you perform exceptionally Open culture Work accessories and a great work location Hybrid mode & Flexible Timings Good snacks, games, and a cool office to make you feel like home Frequent office parties to develop bond between colleagues Events & Hackathons with exciting prizes EEO Statement TELUS Digital Experience TELUS Digital (TD) Experience partners with the world’s most innovative brands, from tech startups to industry leaders in fintech, gaming, healthcare, and more. We empower businesses to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions. Backed by TELUS, our multi-billion-dollar parent company, we offer scalable, multi-language, and multi-shore capabilities. Our expertise spans digital transformation, AI-driven consulting, IT lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and exceptional service. AI Data Solutions: Shaping the Future of AI For nearly two decades, Telus Digital AI Data Solutions has been a global leader in providing premium data services for the ever-evolving AI ecosystem. From machine learning to computer vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train and improve AI models. Backed by a community of over one million contributors and proprietary AI-driven tools, we deliver solutions designed to cover the training data needs of every project. From custom data collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs. Examples include empowering GenAI models with human-aligned datasets and fine-tuning data across 20+ domains and 100+ languages, enabling autonomous driving and advancing extended reality applications with industry-leading data labeling. Show more Show less

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0 years

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Mumbai, Maharashtra, India

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Job Title: Field Operations & Support Intern (Installation, Coordination & Reporting) Location: Mumbai HQ (with travel to Ranchi, Dhanbad, Odisha etc.) Type: Full-time Internship (3 Months) Stipend: ₹8,000/month Post-Internship Opportunity: Full-time @ ₹15,000/month or more (based on performance) Department: Operations Reports To: Senior Management About Tidal Wave Technologies Tidal Wave Technologies Pvt. Ltd. is a next-generation technology company driving, connectivity, and industrial intelligence. We deliver private 5G networks , edge computing systems , industrial wireless setups , and telecom-grade automation for mission-critical environments — including mining zones, ports, factories, infrastructure corridors, and public service deployments. Our team brings together deep domain knowledge in wireless communication, RF engineering, AI/IoT integration , and enterprise systems. At Tidal Wave, we blend startup agility with infrastructure-scale execution. Role Overview This internship is a hands-on, mobility-driven opportunity for individuals who want to understand how real-world tech deployments happen — from hardware setup to client-facing execution. You’ll operate at the ground level: visiting sites, coordinating hardware delivery, tracking deployment updates, and preparing daily progress reports that align with internal quality checks and client-side documentation protocols. Key Responsibilities Travel to deployment sites and assist with installation , hardware support , and on-ground coordination for smart tech systems (e.g., camera kits, CPU enclosures, routers, antennas). Support internal project teams by serving as the field-level execution anchor — coordinating with operations, procurement, and logistics stakeholders. Prepare or help prepare daily site progress reports (DPRs), used by Tidal Wave for customer submission , internal reviews , or regulatory audits . Participate in pre-deployment preparation at HQ — including equipment labeling, checklists, site documentation, and client briefings. Maintain clear and timely communication between the field and HQ to report issues, needs, or delays. Communicate professionally with customers, vendors, and site personnel as a Tidal Wave representative. Learn and adapt to the principles of private 5G , IoT-enabled setups, and how telecom/industrial solutions are deployed on-site. Ideal Candidate Profile Final-year student, recent graduate, or early-career individual interested in field operations and tech deployment. Comfortable using laptops, basic software (Excel/Docs/Email), and common hardware interfaces. Willing to travel across India , particularly Tier 2/3 industrial towns (Ranchi, Dhanbad, etc.). Fluent in Hindi or regional language. Basic English writing/reporting is preferred. Self-driven, reliable, and willing to take initiative in field environments . Internship Details Duration: 3 months Stipend: ₹8,000/month Work Days: Monday to Saturday (Sunday’s when on site - compensated day off will be given when back in town) Field Travel Allowance: Reimbursed as per policy Post-Internship Opportunity Strong performers will be offered a full-time role @ ₹15,000/month based on the performance, with an expanded scope in coordination, reporting, and project support for ongoing field implementations — including potential exposure to private 5G deployments , RF planning , and site engineering . Why Join Tidal Wave? Work with a nationally active deployment team shaping the next wave of industrial automation and telecom infrastructure . Learn how technologies like private 5G, AI-integrated devices, and edge computing are deployed and maintained. Develop field resilience, reporting skills, and technical know-how that will serve across telecom, smart infrastructure, and enterprise automation roles. Be part of a deep-tech team that delivers ground-up execution at scale — in partnership with both private clients and government-led missions. How to Apply Send your CV or short introduction to: 📧 office@tidalwave.tech 📱 WhatsApp us: https://wa.me/919136034086 Show more Show less

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Ahmedabad, Gujarat, India

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Job Description Compilation and/or initial review of labeling documents for OSD & Injectable for original ANDA and Additional strength submission. Co-ordinate with CFT for involvement and understanding of priorities and filing timelines. Follow-up with respective department to get documents in timely manner and to ensure that all labeling modules are available for submission on time. To be updated with current labeling practices and regulatory guidelines. Initial review of all deficiency & query responses related to US Labeling for both OSD and Injectable. To ensure that all labeling modules are available for CR, IR and DRL submission on time. Co-ordination with cross-functional teams as needed to collect required documents for deficiency responses. To compile deficiency responses. To achieve 100% launch readiness for all new products, with zero labeling issues. To ensure most recent and updated labeling has been issued Ok-To-Print. To ensure all printed labeling will be available for launch and on time. To ensure Drug listing of First Launch products after approval. To ensure labeling docs are available on time for successful execution of Site Transfer projects. To ensure labeling docs are available on time for successful execution of Additional Site Transfer activities. Introduction of labeling for Third party. Assist in review of all RLD updates of OSD & Injectable. To ensure that all labeling modules are available of RLD update for submission within time. To co-ordinate with supervisor for involvement and understanding of priorities. Initiation/Facilitate Change Control and LRC for all labeling changes. To approve Softcopy (vendor copy), transparency, shade card, First Print. To create Barcode Grade report. To address all annual reportable changes for labeling. To compile labeling templates for Annual Report, PADER, and APQR. Must have knowledge for Safety labeling change Notification. Good hold on Patent and Exclusivity for labeling carve out. Able to work on labeling SOPs. Qualifications M.Sc. / M. Pharm / B. Pharm / B. Sc. About Us Amneal is an equal opportunity employer. We do not discriminate based on caste, religion, gender, disability, or any other legally protected status. We believe in fostering a workplace that values diversity and inclusion. About The Team The Human Resources team partners with all aspects of the organization, driving success through the effective and innovative management of people for both current and future business needs. Key Roles That The Human Resources Team Performs Executive Role: Specialists in all aspects of people management. High-level input at strategic level into all key business decisions. Audit Role: Ensures all areas of the organization are compliant with legal requirements AND best practice employment policies and procedures. Facilitator Role: Close partnership to support, advise and extend the ability of all areas of the organization to meet their objectives through implementation of highly effective employment practices in areas such as Talent Acquisition, Learning and Development, Reward systems, Performance Management, Health and Wellbeing. Consultancy Role: Provide expert advice to the organization and it’s managers on any aspect of workforce management and employee relations and performance. Service Role: Ensure the organization is fully aware of and is equipped to deal with developments impacting employment matters, such as changes in legislation, changes in the characteristics of the labor market. Show more Show less

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5.0 years

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Gurugram, Haryana, India

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About Team Pumpkin Team Pumpkin is a full-service digital marketing agency helping brands create a meaningful impact through integrated marketing strategies. We specialize in digital transformation, performance marketing, content, social media, and e-commerce, working with clients across industries to build scalable, impactful solutions. As part of our e-commerce vertical, we work with multiple brands, helping them thrive on international marketplaces and direct-to-consumer (D2C) platforms. This is an agency role , where you'll have the unique opportunity to collaborate with multiple global brands , scale their presence in international markets , and drive measurable growth through strategic marketplace management and performance marketing. Key Responsibilities Go-to-Market Strategy: Develop and execute tailored launch plans for products across global marketplaces, ensuring alignment with local customer preferences, regulations, and competition. Marketplace Operations Oversee end-to-end marketplace operations including product listings, content optimization, SEO, pricing, inventory updates, and promotional planning. Performance Marketing Strategize and run paid and organic marketing campaigns to drive traffic and conversions; continuously optimize campaigns for maximum ROI and ROAS. Partnerships & Relationships Build and manage relationships with account managers from Amazon, Walmart, Noon, and other platforms to secure visibility and favorable placements. Analytics & Reporting Monitor KPIs, generate reports, and provide data-driven insights and recommendations to optimize sales performance and operational efficiency. Compliance Ensure compliance with regional regulations regarding product listings, labeling, taxation, and packaging. Cross-Functional Collaboration Work closely with internal teams (marketing, design, merchandising, customer service) and client stakeholders to execute cohesive e-commerce strategies. Skills And Qualifications Experience: 3–5+ years in international e-commerce with a strong focus on marketplace operations and D2C platforms. Agency experience is a plus. E-commerce Knowledge: In-depth understanding of international marketplaces, platform algorithms, and trends. Analytical Mindset: Strong ability to interpret data, identify patterns, and implement performance-driven solutions. Communication & Interpersonal Skills: Effective communicator with the ability to manage client relationships and cross-functional coordination. Problem-Solving: Resourceful and proactive in addressing operational or performance-related issues. Project Management: Strong organizational skills to manage multiple client projects simultaneously with attention to detail. Technical Proficiency: Familiar with tools like Amazon Seller Central, Shopify, Google Analytics, Facebook Ads Manager, and other e-commerce management platforms. Language Skills: Fluency in English; additional languages are a plus depending on markets handled. Show more Show less

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10.0 years

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India

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Maximize Your Impact with TP Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions. As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow. The Opportunity Teleperformance’s AIML/GenAI ecosystem is a fast-paced and dynamic environment. As the Global AI Strategy & Solutions Lead , you will collaborate across TP.ai to drive the delivery of high-impact AI solutions aligned with business objectives. In this role, you will lead the development and execution of a strategic research and delivery of our unique solution offering agenda in AI, ensuring the implementation of cutting-edge capabilities for our clients and markets. You will oversee the end-to-end lifecycle of AIML/GenAI solutions, from gathering initial requirements to selection, design, and scalable deployment—while ensuring cross-functional alignment between operations and engineering teams. Additionally, you will play a key role in understanding client priorities, aligning AI operations to business needs, and optimizing resource capacity planning. Maintaining strong customer relationships and ensuring seamless execution of AI initiatives will be critical to success in this role. The Responsibilities & Duties Define, structure, and execute strategic AI/ML initiatives focused on production operations, ensuring effective governance of AIML platforms and the development of an AI operating and engagement model. Identify, diagnose, and resolve solution and performance challenges by researching and applying the latest AI advancements to enhance core business products. Develop AI acceleration strategies and collaborate across teams to integrate AIML/GenAI solutions into internal and external platforms. Design and apply data analysis methodologies, including data mining, statistics, machine learning, NLP, sentiment analysis, and text mining, to drive insights. Lead initiatives to enhance product and process quality, improving efficiency and scalability. Build and sustain a high-performing AI Solutions team by recruiting top talent, providing ongoing training, and mentoring staff. Unify, enrich, and analyze customer data to generate actionable insights and new business opportunities. Leverage existing in-house data platforms and recommend/build new solutions to exceed business requirements. Clearly communicate findings, recommendations, and optimization strategies for data systems and AI solutions. Partner with the business development team to design and execute AIML/GenAI solutions based on client needs. Demonstrate a deep understanding of AI concepts, tools, and methodologies, and effectively mentor teams on best practices. Apply data-driven approaches to align AI/ML solutions with specific business outcomes. Collaborate, influence, and build consensus across teams through strong relationships and active listening. The Qualifications BA/BS or Masters in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related technical field. 10+ years of experiencein AI/ML, Generative AI, data science, or related fields, with a focus on strategy, solutioning, and implementation. Proven experience leading global AI/ML initiatives, driving AI transformation, and scaling AI/ML solutions across multiple industries. Strong knowledge of machine learning, deep learning, natural language processing (NLP), computer vision, and Generative AI frameworks (e.g., TensorFlow, Hugging Face, OpenAI etc). Experience with data services such as data labeling, annotation, synthetic data generation, and data pipeline management. Expertise in MLOps, AI model lifecycle management, and AI/ML infrastructure optimization. Familiarity with AI model training, fine-tuning, and deploymentin cloud environments (e.g., AWS, Google Cloud, Azure). Understanding of AI ethics, bias mitigation, and Trust & Safety principles related to AI/ML and GenAI applications. Deep understanding of AI security, model robustness, and adversarial attacks. Familiarity with federated learning, privacy-preserving AI, and regulatory AI frameworks. Proven ability to define and execute AI/ML strategies, aligning solutions with business goals and market trends. Experience in leading cross-functional teams, including data scientists, AI engineers, product managers, and business stakeholders. Strong background in AI governance, risk management, and regulatory compliance (GDPR, CCPA, AI Act, etc.). Experience in designing and implementing AI Center of Excellence (CoE)and AI operating models. Ability to translate complex AI concepts into actionable business strategies and clearly communicate with executives and non-technical stakeholders. Strong experience in AI-driven product development, GTM strategy, and AI monetization models. Expertise in managing AI partnerships, vendor selection, and external collaborations. Exceptional problem-solving, analytical thinking, and decision-making skills. Foster a collaborative and team-oriented approach when working with large teams. Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Engineering, or a related technical field. 15+ years of experiencein AI/ML, GenAI, or related fields, with extensive leadership in AI strategy, innovation, and implementation at a global scale. Proven experience driving AI adoption across diverse industries such as technology, finance, healthcare, retail, and media. Strong background in AI research and development (R&D)and productization of AI/ML models. Hands-on experience with cutting-edge AI technologies, including LLMs (Large Language Models), multimodal AI, reinforcement learning, and edge AI. Experience in building and scaling AI Centers of Excellence (CoE) within large enterprises. Strong track record in AI-driven business transformation and innovation strategy. Ability to influence C-suite executives and board-level discussionson AI investments and roadmaps. Proven expertise in AI ethics, responsible AI development, and regulatory compliance (GDPR, CCPA, EU AI Act, etc.). Experience launching AI-based products and services, including pricing and monetization strategies. Established thought leadership in AI/ML, with publications, patents, or keynote speaking engagements at industry conferences (e.g., NeurIPS, AI Summit, TrustCon, Data+AI Summit). Strong network and relationships within AI research communities, academia, startups, and industry consortia. Experience securing AI-related funding, partnerships, and alliances with BigTech, startups, and regulatory bodies. Pre-Employment Screenings By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening. Important | Policy on Unsolicited Third-Party Candidate Submissions TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions. Diversity, Equity & Inclusion At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences. Show more Show less

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2.0 years

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Chennai, Tamil Nadu, India

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Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup. Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A2968582 Show more Show less

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2.0 - 4.0 years

4 - 6 Lacs

Hyderābād

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- Bachelor's degree - Speak, write, and read fluently in English - Knowledge of Microsoft Office products and applications - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred). As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience. Key job responsibilities • Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team. • May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements. • Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage. • Maintaining high internal quality of the processes by performing quality audits/verification. • Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them. • Track daily task completion status using recommended tools and provide individual status reports. • Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools. • Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality. • Offering remedial instruction in tool usage and other topics as required. Requirements: • Strong command of the English language, including grammar, syntax, and vocabulary. • Background in linguistics, creative writing, computational linguistics, or a related field is preferred. • Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system. • Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required • Flexibility and Interest to do repetitive tasks is required. • High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential • Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated. • Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. • Passion for language, technology, and AI advancements. • Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously. Bachelor's degree in English, Journalism, Marketing, or a related field (preferred). Prior experience of 2-4 years and familiarity with US culture preferred; or experience in multicultural communication will be a plus. 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.

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Malappuram

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Minimum Required Experience : years Full Time Skills product knowledge communication Leadership Skills Ms Office 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.

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4.0 - 5.0 years

0 - 0 Lacs

Kottayam

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Profile of Store Keeper: > Performs works that include receiving, inspecting, returning, unloading, shelving, packing, labeling, and maintaining a perpetual inventory of various types of equipment and materials. > To unpack materials, assess the inventory and stock the shelves and report defective or wrong merchandise in a timely manner. > To review physical inventories periodically. > Maintain and update stock and consumption records (In Tally/Stock ledger). > Check incoming materials for quality, and quantity against purchase orders and packing slips or other documents. > Inspect deliveries for damage or discrepancies and report those to accounts for reimbursements and keep a record for it. > Prepare GRN for all received goods. > Keeps and updates records of good received (GRN) and issued (Consumables Issue Note). > Ensure that the materials received and issued are properly recorded. > Prepare Material Requisition for all receipts. > Ensure that stock transfer format is filled completely when stocks are being shifted to the next plant. Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Food provided Health insurance Schedule: Day shift Supplemental Pay: Yearly bonus Education: Diploma (Preferred) Experience: Total: 4 - 5 years (Preferred) Work Location: In person Application Deadline: 25/05/2025 Expected Start Date: 26/05/2025 Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Food provided Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

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3.0 years

2 - 7 Lacs

Gurgaon

On-site

About Team Pumpkin: Team Pumpkin is a full-service digital marketing agency helping brands create a meaningful impact through integrated marketing strategies. We specialize in digital transformation, performance marketing, content, social media, and e-commerce, working with clients across industries to build scalable, impactful solutions. As part of our e-commerce vertical, we work with multiple brands, helping them thrive on international marketplaces and direct-to-consumer (D2C) platforms. This is an agency role , where you'll have the unique opportunity to collaborate with multiple global brands , scale their presence in international markets , and drive measurable growth through strategic marketplace management and performance marketing. Key Responsibilities: Go-to-Market Strategy: Develop and execute tailored launch plans for products across global marketplaces, ensuring alignment with local customer preferences, regulations, and competition. Marketplace Operations: Oversee end-to-end marketplace operations including product listings, content optimization, SEO, pricing, inventory updates, and promotional planning. Performance Marketing: Strategize and run paid and organic marketing campaigns to drive traffic and conversions; continuously optimize campaigns for maximum ROI and ROAS. Partnerships & Relationships: Build and manage relationships with account managers from Amazon, Walmart, Noon, and other platforms to secure visibility and favorable placements. Analytics & Reporting: Monitor KPIs, generate reports, and provide data-driven insights and recommendations to optimize sales performance and operational efficiency. Compliance: Ensure compliance with regional regulations regarding product listings, labeling, taxation, and packaging. Cross-Functional Collaboration: Work closely with internal teams (marketing, design, merchandising, customer service) and client stakeholders to execute cohesive e-commerce strategies. Skills and Qualifications: Experience: 3–5+ years in international e-commerce with a strong focus on marketplace operations and D2C platforms. Agency experience is a plus. E-commerce Knowledge: In-depth understanding of international marketplaces, platform algorithms, and trends. Analytical Mindset: Strong ability to interpret data, identify patterns, and implement performance-driven solutions. Communication & Interpersonal Skills: Effective communicator with the ability to manage client relationships and cross-functional coordination. Problem-Solving: Resourceful and proactive in addressing operational or performance-related issues. Project Management: Strong organizational skills to manage multiple client projects simultaneously with attention to detail. Technical Proficiency: Familiar with tools like Amazon Seller Central, Shopify, Google Analytics, Facebook Ads Manager, and other e-commerce management platforms. Language Skills: Fluency in English; additional languages are a plus depending on markets handled.

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1.0 - 2.0 years

0 - 0 Lacs

Gurgaon

On-site

Job Title: Warehouse Executive Experience: 1–2 years Location: [Gurgaon] Employment Type: Full-Time Job Summary: We are looking for a proactive and detail-oriented Warehouse Executive to manage day-to-day warehouse operations including inventory handling, dispatches, inward/outward entries, and stock accuracy. The ideal candidate should have prior experience in warehouse processes, good organizational skills, and the ability to work in a fast-paced environment. Key Responsibilities: Receive, inspect, and record incoming shipments Ensure accurate picking, packing, and dispatch of orders Maintain inventory records and stock levels in system Coordinate with logistics partners for timely deliveries Ensure proper labeling, storage, and cleanliness of the warehouse Monitor stock movement and report discrepancies Assist with periodic stock audits and cycle counts Follow safety and compliance protocols at all times Requirements: 1–2 years of experience in warehouse or inventory management Familiarity with stock management systems (Excel, ERP, etc.) Basic understanding of dispatch and logistics processes Attention to detail and strong organizational skills Ability to lift/move moderately heavy items as needed Team player with a proactive attitude Preferred Qualifications: Experience in FMCG, retail, or e-commerce sector Working knowledge of MS Excel and basic reporting Good communication skills in Hindi and English Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Schedule: Day shift Monday to Friday Work Location: In person Expected Start Date: 01/07/2025

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3.0 - 10.0 years

0 - 0 Lacs

India

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We are looking for a dynamic and results-oriented Sales Executive to promote and sell our range of printing and labeling solutions . The ideal candidate will play a key role in expanding our customer base, maintaining strong relationships with existing clients, and helping to grow the company’s market presence. Key Responsibilities: Develop and execute a strategic sales plan to achieve sales targets in the assigned territory. Actively identify new business opportunities through cold calling, networking, and field visits. Visit clients to understand their printing and labelling requirements and recommend suitable products/services. Present product samples, quotations, and proposals tailored to customer needs. Follow up on leads, negotiate contracts, and close sales effectively. Maintain excellent customer relationships and provide post-sale support. Monitor market trends and competitor activity to identify new sales opportunities. Prepare daily/weekly reports on client meetings, sales activities, and forecasted sales. Coordinate with the production and logistics teams to ensure timely delivery and customer satisfaction. Requirements: Bachelor’s degree in any field (preferably in Marketing, Business, or related discipline). Minimum 3-10 years of field sales experience, in the printing, packaging, or label industry. Strong understanding of sales techniques and customer relationship management. Excellent communication and presentation skills. Self-driven with a strong sense of responsibility and target orientation. Proficient in MS Office Willing to travel in Delhi / Delhi NCR Must have a valid driver’s license and vehicle. Compensation: Competitive base salary Travel allowance Benefits as per company policy Job Type: Full-time Pay: ₹15,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Leave encashment Schedule: Day shift Application Question(s): must have vehicle License/Certification: Driving Licence (Required) Work Location: In person

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Exploring Labeling Jobs in India

Labeling jobs in India have gained significant prominence in recent years due to the increasing demand for data annotation and labeling services in industries such as artificial intelligence, machine learning, and computer vision. As more companies leverage these technologies to improve their products and services, the need for skilled labeling professionals continues to grow.

Top Hiring Locations in India

  1. Bangalore - Known as the Silicon Valley of India, Bangalore is a hub for technology companies that frequently hire labeling professionals.
  2. Pune - With a growing IT sector, Pune offers ample opportunities for labeling roles in various industries.
  3. Hyderabad - Home to a thriving IT and tech scene, Hyderabad is another city where labeling jobs are in high demand.
  4. Mumbai - As the financial capital of India, Mumbai also hosts numerous companies that require labeling services for their data projects.
  5. Chennai - Chennai's strong presence in the IT and software industry makes it a prime location for labeling job seekers.

Average Salary Range

The salary range for labeling professionals in India varies based on experience and skill level. Entry-level positions may start at around ₹3-4 lakhs per annum, while experienced professionals can earn upwards of ₹10-15 lakhs per annum.

Career Path

In the labeling domain, a typical career path may include roles such as: - Data Labeler - Senior Data Labeler - Labeling Team Lead - Labeling Manager

Related Skills

Besides expertise in labeling tasks, professionals in this field may benefit from having skills such as: - Data analysis - Machine learning - Python programming - Image processing - Quality assurance

Interview Questions

  • What is data labeling, and why is it important in machine learning? (basic)
  • Can you explain the difference between classification and object detection in labeling? (medium)
  • How do you ensure the quality and accuracy of labeled data? (medium)
  • Have you worked with any labeling tools or software? If so, which ones are you familiar with? (basic)
  • How do you handle ambiguous labeling scenarios or edge cases? (advanced)
  • What are some common challenges you have faced in labeling projects, and how did you overcome them? (medium)
  • Explain the concept of inter-annotator agreement and its significance in labeling tasks. (advanced)
  • How do you stay updated on the latest trends and techniques in data labeling? (basic)
  • Can you walk us through your labeling process from data ingestion to final output? (medium)
  • Have you ever had to re-label a large dataset due to errors or inconsistencies? How did you handle it? (advanced)
  • What metrics or benchmarks do you use to evaluate the performance of your labeling tasks? (medium)
  • How do you prioritize and manage multiple labeling projects simultaneously? (medium)
  • Describe a time when you had to collaborate with other team members or stakeholders on a labeling project. (basic)
  • What steps do you take to ensure data privacy and confidentiality while performing labeling tasks? (medium)
  • How do you handle disagreements or conflicts with team members regarding labeling decisions? (advanced)
  • Can you provide an example of a complex labeling task you successfully completed, and the challenges you encountered along the way? (advanced)
  • What role does domain knowledge play in accurate data labeling? (medium)
  • How do you handle imbalanced datasets or skewed class distributions during labeling? (advanced)
  • Have you ever had to create custom labeling guidelines or instructions for a specific project? If so, how did you approach it? (medium)
  • What strategies do you use to minimize human bias or subjectivity in labeling tasks? (medium)
  • How do you ensure consistency and standardization across different annotators or labeling teams? (medium)
  • Have you ever had to deal with incomplete or missing data during the labeling process? How did you address this issue? (medium)
  • Can you discuss a labeling project where you had to work with unstructured or noisy data? How did you handle it? (advanced)

Closing Remark

As you navigate the labeling job market in India, remember to showcase your expertise, stay updated on industry trends, and continuously enhance your skills to stand out as a top candidate. With the right preparation and confidence, you can excel in labeling roles and contribute meaningfully to cutting-edge technology projects. Good luck with your job search!

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