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<div>
 
 Company Description
 
 
 
 WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.
 
 
 
 Job Description
 
 
 
 Good Communication Skills (Written) Typing Speed of 25 WPM + 90% Accuracy. Should be able to work in Shifts. Should be ok to work from Office in HYD. No prior work experience required Also, Preferably with experience in Shipping and Logistics / Back Office Understanding its nuance
 
 
 
 Qualifications
 
 
 
 Graduation
</div>

Associate- Ops

Amazon

<div>
 
 
 DESCRIPTION
 
 
 
 
 NOC (Network Operations Center) is the central command and control center for &lsquo;Transportation Execution&rsquo; across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, NOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving NOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data.
 
 
 Overall, NOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon&rsquo;s ability to serve its customers on time.
 
 
 Within NOC&rsquo;s umbrella, resides a fast-growing Last Mile support function &ndash; AMZL CO (Amazon Logistics Central Operations). AMZL CO is a team focused on driving higher quality at lower cost through standard work leveraging central management of the network. Central Operations (CO) supports daily planning and execution functions that impact Delivery Station (DS) operations across the AMZL and EDSP/XPT network. CO aims to bring efficiencies to processes through standardization, programmatic interventions and automations that improve planning, scheduling and routing efficiencies, reduce cost and free up time for station operators to focus on operational work. We cover the following functional areas with global parity: (i) Central Allocation - removes operator judgement on channel allocation by planning via O-TREAT (4 week to 1 week ahead) &amp; 24 hour forecasting based D-1 capacity adjustments, (ii) Centralized Routing and Scheduling (CRS) &ndash; executes block scheduling (1 week ahead, D-1 block release) and route planning (D-day) of on-road capacity centrally, (iii) CO Systems Management (COSM) - performs station jurisdiction and sector configurations via JAS (Jurisdiction Authority Service), and handles sort &amp; route planning configurations, (iv) Driver Support (CO DS) &ndash; aims to streamline the delivery process for DSPs and drivers by coordinating rescues through global tools - Rescue Planner (RP) &amp; Mission Control (MC) and, (v) providing channel support for DSP, Flex and Hub DP along with account and payment management &ndash; WST entry validation, invoicing and weather incentives.
 
 
 CO team embarked on the journey of becoming operations execution partner of NA and EU COs in Jun&rsquo;21 with an immediate objective of leveraging people cost benefits through targeted offshoring and in the long term, standardizing AMZL CO processes and technology in NA and EU and RoW (Rest of World) countries to establish worldwide parity, providing a platform for knowledge sharing and building a hybrid structure for local innovation and speed to market while optimizing gearing ratios and cost structures. We named the broader program MARCOPOLO.
 
 
 Marcopolo Vision: NOC&rsquo;s vision is to build a global Center of Excellence by being the prime provider of Last Mile Central Operations (CO) execution services to NA, EU and RoW marketplaces in next 3 years. This org will - 1) provide 24x7 coverage to all geographies, 2) leverage centralization at scale to optimize HC through improved Operator Utilization by unlocking synergies across time zones, 3) ensure at par or better SLA and quality by closely monitoring audit performance, 4) enable operational parity and standardization across workstreams and geographies, 5) leverage in-house automation team to automate manual execution, 6) work closely with in-country program and operations teams to provide inputs on large scale process improvement programs including hands-off-the-wheel automations, 7) support global expansion and standardization, leverage learnings and best practices across geographies and 8) facilitate joint OP request submission exercises to product and tech teams by incorporating use cases across geographies.
 
 
 Purview of a Trans Ops Specialist
 
 
 A Trans Ops Specialist at NOC facilitates flow of information between different stakeholders (Trans Carriers/Hubs/Warehouses) and resolves any potential issues that impacts customer experience and business continuity. Trans Ops Specialist at NOC works across two verticals &ndash; Inbound and Outbound operations.
 
 
 Inbound Operations deals with Vendor/Carrier/FC relationship, ensuring that the freight is picked-up on time and is delivered at FC as per the given appointment. Trans Ops Specialist on Inbound addresses any potential issues occurring during the lifecycle of pick-up to delivery.
 
 
 Outbound Operations deals with FC/Carrier/Carrier Hub relationship, ensuring that the truck leaves the FC in order to delivery customer orders as per promise. Trans Ops Specialist on Outbound addresses any potential issues occurring during the lifecycle of freight leaving the FC and reaching customer premises.
 
 
 A Trans Ops Specialist provides timely resolution to the issue in hand by researching and querying internal tools and by taking real-time decisions. An ideal candidate should be able to understand the requirements/be able to analyze data and notice trends and be able to drive Customer Experience without compromising on time. The candidate should have the basic understanding of Logistics and should be able to communicate clearly in the written and oral form. Trans Ops Specialist should be able to ideate process improvements and should have the zeal to drive them to conclusion.
 
 
 We are open to hiring candidates to work out of Hyderabad and willing to come to office all 5 working days of the week
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers)
 </li>
 <li>
 Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus.
 </li>
 <li>
 Develop and/or understand performance metrics to assist with driving business results.
 </li>
 <li>
 Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by NOC.
 </li>
 <li>
 Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data.
 </li>
 <li>
 Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
 </li>
 <li>
 Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
 </li>
 <li>
 Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum.
 
 
 </li>
 </ul>
 Providing real-time customer experience by working in 24*7 operating environment.
 
 
 
 About The Team
 
 
 
 NOC (Network Operation Center) is the central command and control center for &lsquo;Transportation Execution&rsquo; across the Amazon Supply Chain network. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, NOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving, we understand trends in network exceptions and automate processes or proposing process changes to streamline operations involving network monitoring and significant analysis of network data.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Communication with external customers (Carriers, Vendors/Suppliers) and internal customers (Retail, Finance, Software Support, Fulfillment Centers)
 </li>
 <li>
 Ability to pull data from numerous databases (using Excel, Access, SQL and/or other data management systems) and to perform ad hoc reporting and analysis as needed is a plus.
 </li>
 <li>
 Develop and/or understand performance metrics to assist with driving business results.
 </li>
 <li>
 Ability to scope out business and functional requirements for the Amazon technology teams who create and enhance the software systems and tools are used by NOC.
 </li>
 <li>
 Must be able to quickly understand the business impact of the trends and make decisions that make sense based on available data.
 </li>
 <li>
 Must be able to systematically escalate problems or variance in the information and data to the relevant owners and teams and follow through on the resolutions to ensure they are delivered.
 </li>
 <li>
 Work within various time constraints to meet critical business needs, while measuring and identifying activities performed.
 </li>
 <li>
 Excellent communication, both verbal and written as one may be required to create a narrative outlining weekly findings and the variances to goals, and present these finding in a review forum.
 </li>
 <li>
 Providing real-time customer experience by working in 24*7 operating environment.
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 NOC (Network Operation Center) is the central command and control center for &lsquo;Transportation Execution&rsquo; across the Amazon Supply Chain network. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, NOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving, we understand trends in network exceptions and automate processes or proposing process changes to streamline operations involving network monitoring and significant analysis of network data.
 
 
 
 
 BASIC QUALIFICATIONS
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
 
 
 </li>
 </ul>
 
 
 PREFERRED QUALIFICATIONS
 
 
 
 
 <ul>
 <li>
 Experience with Excel
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Dev Center India - Hyderabad
 
 
 Job ID: A2873972
</div>

Transportation Specialist, CO team

PepsiCo

<div>
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
</div>

Data Science Assoc Analyst

airtel

<div>
 
 Area Manager Ops
 
 
 
 Responsibility of entire Wireline Network including FTTH &amp; Intercity OFC &amp; ISP Network. Give best experience to end customer in terms of network Operation. CMO reduction with proper planning. Improve OFC network health. End to end responsibility of entire network. Partner management on patrolling quality Capex execution. Fiber cut reduction plan. Single fiber break, Preventive maintenance
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Ensure effective implementation of O&amp;M (Operations &amp; Maintenance) processes and adherence to compliance standards, including preventive and corrective maintenance of ISP equipment.
 </li>
 <li>
 Monitor and drive performance metrics including KPI adherence, network uptime, MTTR (Mean Time to Repair), and SLA compliance for trouble tickets.
 </li>
 <li>
 Execute network expansion plans, including new network rollouts and ring de-choking , in alignment with network planning and business requirements.
 </li>
 <li>
 Coordinate with NOC and vendors to ensure timely resolution of faults, with a focus on minimizing repeat issues.
 </li>
 <li>
 Drive Opex optimization and Capex reduction through innovative initiatives such as End-of-Life equipment removal and infrastructure efficiency improvements.
 </li>
 <li>
 Provide mentorship and coaching to team members, fostering skill development and operational excellence.
 </li>
 <li>
 Manage Network Operations and Maintenance to meet business targets within allocated budget and timelines , ensuring network quality, uptime , and continuous monitoring of Capex and Opex parameters.
 </li>
 <li>
 Collaborate closely with cross-functional teams including NOC, Projects, Planning, and SCM to ensure seamless network operations.
 </li>
 <li>
 Possess strong understanding of wireline transport networks, fixed-line broadband , and technologies such as OTN, MSAN, data circuits (ILP/Leased Line/PRI), SDH, DWDM, LCD, Metro Core , and CEN transport networks .
 </li>
 <li>
 Experience with equipment from multiple vendors such as Huawei, Nokia, Ciena, Cisco, ECI , along with a working knowledge of technologies specific to these platforms.
 </li>
 <li>
 Lead and implement Opex-saving initiatives including:
 </li>
 <ul>
 <li>
 Site and equipment optimization
 </li>
 <li>
 Indoor to Outdoor (ID to OD) conversion
 </li>
 <li>
 IMT integration
 </li>
 <li>
 Temperature setting adjustments
 </li>
 <li>
 VODC implementation
 </li>
 <li>
 Hot air ducting
 </li>
 <li>
 Site shifting
 </li>
 <li>
 SDH decommissioning
 </li>
 <li>
 PUE improvement
 </li>
 <li>
 Rent reduction through property owner negotiations
 </li>
 </ul>
 <li>
 Oversee Voice Core Network (IMS &amp; NGN) operations, particularly involving Huawei systems , including maintenance and fault resolution in collaboration with private and government POI partners.
 </li>
 <li>
 Ensure efficient field fault handling across various deployed devices, coordinating with NOC and relevant teams for access, spares, tools, and execution of the fault resolution plan within SLA timelines.
 
 </li>
 </ul>
 #BAL
</div>

Area Manger

NxtWave

<div>
 
 
 Job Description:
 
 
 
 We are looking for a
 
 high-performing Talent Acquisition Executive
 
 with strong expertise in
 
 both lateral and bulk/mass hiring
 
 across
 
 IT and Non-IT roles
 
 . This role demands a
 
 blend of sourcing excellence, analytical mindset, and team coordination
 
 , ideally honed in a
 
 high-growth startup environment
 
 .
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Execute full-cycle recruitment for lateral and mass hiring across departments (IT &amp; Non-IT).
 </li>
 <li>
 Strategically source, engage, and close candidates through job portals, social media, referrals, and direct outreach.
 </li>
 <li>
 Collaborate closely with business stakeholders to
 
 define hiring plans, role requirements, and sourcing strategies
 
 .
 </li>
 <li>
 Own sourcing pipeline metrics and recruitment funnel health for timely closures.
 </li>
 <li>
 Ensure a seamless candidate experience from initial outreach to onboarding.
 </li>
 <li>
 Coordinate with onboarding, HR ops, and business teams for alignment and execution.
 </li>
 <li>
 Maintain and analyze recruitment dashboards to track performance and optimize efforts.
 </li>
 <li>
 Contribute to recruitment playbooks and continuous process improvements.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 1-2 years of experience required strictly in the Talent Acquisition domain.
 </li>
 <li>
 Proven work experience as a Talent Acquisition Specialist or similar role.
 </li>
 <li>
 Should have experience in bulk hiring and lateral hiring, campus hiring.
 </li>
 <li>
 In-depth knowledge of talent acquisition strategies, tools, and best practices.
 </li>
 <li>
 Experience in managing full-cycle recruitment processes, including sourcing, screening, interviewing, and selection.
 </li>
 <li>
 Excellent interpersonal and communication skills.
 </li>
 <li>
 Demonstrated ability to build relationships and collaborate effectively with hiring managers and external partners.
 </li>
 <li>
 Analytical mindset with the ability to use data to drive recruitment decisions.
 </li>
 <li>
 Strong leadership and team management skills.
 </li>
 <li>
 Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
 </li>
 </ul>
 
 
 Skills:
 
 
 
 
 
 Must-Have:
 
 
 
 
 
 <ul>
 <li>
 1&ndash;2 years of experience in
 
 lateral and bulk/mass hiring
 
 for IT and Non-IT roles.
 </li>
 <li>
 Strong
 
 communication, comprehension, and analytical skills
 
 .
 </li>
 <li>
 Hands-on expertise in sourcing through
 
 LinkedIn, Naukri, Boolean search, and other digital platforms
 
 .
 </li>
 <li>
 Demonstrated ability to work in
 
 fast-paced, high-growth startups
 
 .
 </li>
 <li>
 Proven track record of
 
 meeting aggressive hiring targets and managing multiple roles simultaneously
 
 .
 </li>
 <li>
 Collaborative team player with ability to
 
 coordinate with peers and drive execution independently
 
 .
 </li>
 </ul>
 
 
 
 Good-to-Have:
 
 
 
 
 
 <ul>
 <li>
 Exposure to
 
 employer branding, recruitment marketing
 
 , or campus hiring initiatives.
 </li>
 <li>
 Familiarity with
 
 ATS platforms and recruitment analytics
 
 .
 </li>
 <li>
 Experience working on hiring ramp-up plans or project-based high-volume recruitment.
 </li>
 <li>
 Certifications in sourcing/recruitment tools or HR analytics.
 </li>
 </ul>
 
 
 Job Overview
 
 
 <ul>
 <li>
 
 Work Location:
 
 Hyderabad ( On-site )
 </li>
 <li>
 
 Working Days:
 
 6 days
 </li>
 <li>
 
 Work Timing:
 
 10 Am - 7 Pm
 </li>
 </ul>
 
 https://docs.google.com/document/d/16gtvlW6nIiw9-4aSrSP56t9KIs-kcVRqNAVDYHwl5_s/edit?usp=sharing BSF Form Link: https://forms.gle/XTNrk6ZTX1StFgsb7
 
</div>

Talent Acquisition Executive

<div>
 
 Description
 
 
 
 The Trainer is responsible for the coordination and execution of training for all process paths in the Fulfillment Center. Trainers evaluate and refine processes and techniques to improve learning effectiveness and production across all departments in the building. The Trainer assists in driving the success training plans and supporting the needs of the Fulfillment Center workforce.
 
 
 Prerequisite: Willing to work Nights / flexible schedules / shifts
 
 
 <ul>
 <li>
 Act as a supervisor for Process Assistants and Ops Ambassadors with new hires
 </li>
 <li>
 Deliver Instructor training, observation and coaching to the INFC standard
 </li>
 <li>
 Ensure training records are kept up to date through the console
 </li>
 <li>
 Ensure IN training materials are kept and delivered against IN standard and provide a positive learning experience
 </li>
 <li>
 Use and analyze data on a daily basis to improve NH learning experience
 </li>
 <li>
 All tests/ audits are completed and responses are tracked
 </li>
 <li>
 Organize (Instructors assignment) and monitor cross training for the operations to support peak skill requirements
 </li>
 <li>
 Work with operations on a skill matrix to highlight gaps for critical role training
 </li>
 <li>
 Support operations with the delivery of critical role training
 </li>
 <li>
 Improve processes from gathering feedback and analyzing data
 </li>
 <li>
 Attend meetings when required and provide information required
 </li>
 <li>
 Work in partnership with the site PxT partners to improve new hire performance
 </li>
 <li>
 Support IN/ Zonal level projects with feedback and improvements
 
 
 </li>
 </ul>
 Top Skills to be a Successful Trainer
 
 
 <ul>
 <li>
 Able to work independently and autonomously
 </li>
 <li>
 Interpersonal Skills and Composure (networking skills)
 </li>
 <li>
 Well-honed communications skills, including presentation skills
 </li>
 <li>
 Well-developed observational and analytical skills
 </li>
 <li>
 Able to deliver feedback, coaching and deliver training
 </li>
 <li>
 Effective time management and team work
 </li>
 <li>
 Experience using all MS packages, such as Word, Excel, and Power Point
 </li>
 <li>
 Problem Solving
 </li>
 <li>
 Fluency in English &amp; Hindi
 </li>
 <li>
 Sense of confidentiality
 </li>
 <li>
 Instructor experience (internal candidates)
 </li>
 <li>
 Process knowledge (internal candidates)
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 </li>
 <li>
 Speak, write, and read fluently in English
 </li>
 <li>
 Experience with Microsoft Office products and applications
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 1+ years of manufacturing or customer-facing environment experience
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ASSPL - Telangana - D82
 
 
 Job ID: A3054645
</div>

Trainer

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Dev Center India - Hyderabad - A85
 
 
 Job ID: A2870616
</div>

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