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associate, ml data operations, go-ai operations Jobs in Hyderabad

associate, ml data operations, go-ai operations

business operation associate Jobs in Hyderabad

business operation associate

associate ml data operations go ai operations

Amazon

<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
 
 - ADCI - Uttar Pradesh - F26
 
 
 Job ID: A2974593
</div>

Associate, ML Data Operations, GO-AI Operations

WaferWire Cloud Technologies

<div>
 
 
 Job Title: Pre-Sales Consultant &ndash; Azure &amp; Data Modernization
 
 
 
 
 Job Location: Hyderabad, India
 
 
 
 
 Worksite: Onsite (100%)
 
 
 
 
 
 
 
 About WCT:
 
 
 
 WaferWire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment).
 
 
 
 
 
 
 About Role:
 
 
 
 We are seeking a dynamic and customer-oriented Pre-Sales Consultant with expertise in Microsoft Azure Cloud, data modernization, and related Microsoft technology stacks. The role involves working closely with sales, solution architects, and delivery teams to design, position, and articulate modern cloud and data transformation solutions for enterprise customers.
 
 
 This position is ideal for someone who enjoys both the technical depth of cloud platforms and the strategic storytelling required to shape customer transformation journeys.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Participate in client discussions to understand current infrastructure, applications, and data landscape.
 </li>
 <li>
 Design Azure-based architectures for workloads such as data modernization, analytics, and application migration.
 </li>
 <li>
 Create solution blueprints, estimations, and proposals aligned to Microsoft&rsquo;s Cloud Adoption Framework (CAF).
 </li>
 <li>
 Support RFPs, RFIs, and bid responses by providing technical inputs, solution diagrams, and value propositions.
 </li>
 <li>
 Conduct client workshops, demos, and proof-of-concept (PoC) sessions on Azure Data Services (Data Factory, Synapse, Databricks, SQL, etc.).
 </li>
 <li>
 Deliver impactful presentations showcasing modernization journeys from on-prem/VMware/SQL to Azure cloud-native services.
 </li>
 <li>
 Collaborate with account managers to articulate solution benefits and ROI narratives.
 </li>
 <li>
 Collaborate with delivery and practice teams to ensure technical feasibility and smooth handover post-closure.
 </li>
 <li>
 Stay updated on Azure innovations (Fabric, AI/ML integrations, Data Lakehouse models) and align offerings accordingly.
 </li>
 <li>
 Contribute to reusable presales assets such as proposal decks, solution assets, case studies, and success stories.
 </li>
 <li>
 Hands on expertise in using Microsoft office tools &ndash; PowerPoint, Word, Excel and others
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering / Computer Science / Information Technology
 </li>
 <li>
 Experience with 3-5 years of experiences as presales consultant
 </li>
 <li>
 Cloud Expertise: Microsoft Azure services (VMs, App Services, AKS, Data Factory, Synapse, SQL Managed Instance, Power BI, Fabric).
 </li>
 <li>
 Data Modernization: Experience in designing data migration or analytics modernization roadmaps.
 </li>
 <li>
 Solutioning Ability: Familiarity with CAF methodology, landing zone design, cost estimation, and migration tooling (Azure Migrate, DMS, HCX).
 </li>
 <li>
 Business Acumen: Ability to translate customer pain points into quantifiable business value and ROI.
 </li>
 <li>
 Soft Skills: Excellent communication, proposal writing, presentation, and stakeholder management.
 </li>
 <li>
 Preferred Exposure: Microsoft Partner ecosystem, pre-sales automation tools, or prior experience in client-facing consulting roles.
 </li>
 <li>
 Azure-related certifications preferred:
 </li>
 </ul>
 
 Microsoft Certified: Azure Solutions Architect Associate (AZ-305)
 
 
 Microsoft Certified: Azure Data Engineer Associate (DP-203) or AI-900 / DP-900
 
 
 
 
 
 
 Equal Employment Opportunity Declaration:
 
 
 
 WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
 
 
 
</div>

Presales Consultant

YASH Technologies

<div>
 YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
 
 
 At YASH, we&rsquo;re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth &ndash; bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
 
 
 
 We are looking forward to hire AI Professionals in the following areas :
 
 
 
 
 Experience
 
 
 
 1-5 Years
 
 
 
 Responsibilities
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Natural lang., processing and AI/Gen AI/ML skills
 </li>
 <li>
 Python skills
 </li>
 <li>
 SQL Query skills (optional)
 </li>
 <li>
 Basic UI interface building skills and Javascript skills
 </li>
 <li>
 Good comm.,(oral/written)
 
 
 </li>
 </ul>
 At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
 
 
 
 Our Hyperlearning workplace is grounded upon four principles
 
 
 
 <ul>
 <li>
 Flexible work arrangements, Free spirit, and emotional positivity
 </li>
 <li>
 Agile self-determination, trust, transparency, and open collaboration
 </li>
 <li>
 All Support needed for the realization of business goals,
 </li>
 <li>
 Stable employment with a great atmosphere and ethical corporate culture
 </li>
 </ul>
</div>

Associate Business Analyst - AI/ML Job

<div>
 
 Description
 
 
 
 Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.
 
 
 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.
 
 
 <ul>
 <li>
 Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
 </li>
 <li>
 Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
 </li>
 <li>
 Performing audits and quality checks of tasks completed by other specialists, if required
 </li>
 <li>
 Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
 </li>
 <li>
 Diving deep into issues and implementing solutions independently
 </li>
 <li>
 Identifying and reporting tooling bugs and suggesting improvements
 
 
 </li>
 </ul>
 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&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field or equivalent professional experience
 </li>
 <li>
 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
 </li>
 <li>
 Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
 </li>
 <li>
 Excellent attention to details and ability to focus for a long period of time
 </li>
 <li>
 Ability to effectively write and evaluate diverse subject matter across various domains*
 </li>
 <li>
 Ability to adapt writing style to suit various style guidelines and customers.
 </li>
 <li>
 Ability to adapt well to fast
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
 </li>
 <li>
 Experience with creating complex data for LLM training and evaluation
 </li>
 <li>
 Strong understanding of U.S.
 </li>
 <li>
 Comfortable with high
 </li>
 <li>
 Familiarity with common markup languages such as HTML, XML, Markdown
 </li>
 <li>
 Familiarity with common standard text formats such as JSON, CSV, RTF
 </li>
 <li>
 Working knowledge of Python or another scripting language
 </li>
 <li>
 Familiarity with regular expressions syntax
 </li>
 <li>
 Familiarity with Large Language Models
 </li>
 <li>
 Comfort in annotation work that may include sensitive content
 
 
 </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
 
 - ADCI HYD 16 SEZ - H83
 
 
 Job ID: A3113649
</div>

AI Content Expert

NxtWave

<div>
 Job Description:
 
 
 At NxtWave, as a TCD, you will be heading your technical pod and will be responsible for creating and refining industry-relevant content for students. This role involves developing engaging content and materials that enhance learning experiences, ensuring industry relevance, and driving continuous improvement by coordinating with the speakers and ensuring the session content is completely delivered. You&rsquo;ll collaborate with teams internally and SMEs(Subject Matter Experts) externally to manage technical content tracks, analyse industry trends, and deliver high-quality outcomes that improve learners' skills and employability.
 
 
 
 Skills Required
 
 
 
 <ul>
 <li>
 Comfortable working with deep tech topics like AI/ML, Generative AI, RAG, LLM agents, model serving, and vector search.
 </li>
 <li>
 Able to quickly understand complex technologies and explain them clearly through structured educational content.
 </li>
 <li>
 Experience with tools and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, Gradio, and vector databases.
 </li>
 <li>
 Understanding of how to build or explain systems like RAG pipelines, browser agents, and LLM-powered tools and interfaces.
 </li>
 <li>
 Comfortable working with APIs, SQL/NoSQL databases, and cloud-based or serverless infrastructures.
 </li>
 <li>
 Strong technical writing and instructional design skills&mdash;able to create masterclass scripts, lab walkthroughs, diagrams, and structured lesson flows.
 </li>
 <li>
 Works closely with expert speakers to co-develop content&mdash;structuring narratives, writing scripts, designing diagrams and flows, and ensuring sessions follow a clear, instructional path.
 </li>
 <li>
 Curious, flexible, and eager to explore any deep tech area&mdash;from Graph Neural Networks to edge AI and multimodal systems.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with expert speakers from top AI companies to co-create high-impact masterclasses on topics like RAG, agent workflows, model optimisation, and scalable LLM deployments.
 </li>
 <li>
 Translate technical inputs into clear, structured session scripts&mdash;including learning goals, system overviews, narrative flow, and speaker cues.
 </li>
 <li>
 Design hands-on labs, walkthroughs, and demo narratives using real-world tools (e.g., Ray Serve, LangChain, FastAPI, Gradio).
 </li>
 <li>
 Ensure technical accuracy, instructional pacing, and coherence across multi-part sessions by reviewing and iterating with SMEs.
 </li>
 <li>
 Lead or mentor associate content developers working on visuals, labs, or transcription, ensuring timely and high-quality content delivery.
 </li>
 <li>
 Align every session with NIAT&rsquo;s learning framework&mdash;hook, core concepts, problems, architecture, walkthrough, advanced cases, and wrap-up.
 </li>
 <li>
 Continuously update content to reflect new tools, releases, or practices in GenAI, deployment infrastructure, or agentic systems.
 </li>
 <li>
 Collaborate with design, editing, and product teams to shape visual direction and improve the overall learner experience.
 </li>
 <li>
 Track progress of content development against timelines and provide regular updates to producers or program leads.
 </li>
 </ul>
</div>

Masterclass Content Creator

BeGig

<div>
 
 Job Role-
 
 Data Scientist
 
 
 
 Job Type- Contract
 
 
 Duration- 3 months with possible extension as per the performance.
 
 
 Work mode- onsite(5.5 days in a week)
 
 
 Location - Hyderabad
 
 
 
 
 
 We&rsquo;re looking for a
 
 multi-skilled Data Scientist
 
 to support our client&rsquo;s digital transformation initiatives across
 
 sales, procurement, supply chain
 
 , and
 
 executive decision-making
 
 .
 
 
 This role involves developing data-driven solutions that improve forecasting, logistics efficiency, and business intelligence.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Forecasting &amp; Predictive Modelling:
 
 Build demand and price prediction models for dairy and agri-based products.
 </li>
 <li>
 
 Logistics Optimization:
 
 Develop algorithms for route planning and vehicle utilization using optimization techniques.
 </li>
 <li>
 
 Analytics &amp; Insights:
 
 Create dashboards and generate insights from CRM, ERP, GPS, and app data.
 </li>
 <li>
 
 Gamification &amp; App Analytics:
 
 Collaborate with mobile and marketing teams to enhance user engagement.
 </li>
 <li>
 
 Cloud &amp; Data Engineering:
 
 Automate data pipelines (Python + SQL) and deploy models on cloud platforms.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Partner with business leaders to define problems, present analytical solutions, and promote adoption.
 </li>
 </ul>
 
 
 Skills &amp; Competencies
 
 
 
 
 Must Have:
 
 Python, SQL, Machine Learning, Time-Series Forecasting, Power BI, Optimization Models
 
 
 
 Preferred:
 
 Cloud platforms (AWS), Firebase/App Analytics Tools, Google OR-Tools/PuLP, Gamification Concepts
 
 
 
 Bonus:
 
 R, NLP/CV, Deep Learning, APIs for weather/inventory
 
 
 
 Qualification
 
 
 <ul>
 <li>
 B.Tech/M.Tech/M.Sc. in Data Science, Computer Science, Statistics, or related fields
 </li>
 <li>
 Certifications in Python, ML, or Cloud preferred
 </li>
 <li>
 MBA or business exposure is a plus
 </li>
 </ul>
 
 
 Ideal Candidate
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in data science roles
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Hands-on experience in forecasting, optimization, app analytics, and dashboards
 </li>
 <li>
 Independent contributor with cross-functional collaboration skills
 </li>
 </ul>
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work directly on digital strategy initiatives with senior leadership
 </li>
 <li>
 Freedom to experiment with AI/ML in real-world business scenarios
 </li>
 <li>
 Cross-functional exposure across sales, procurement, IT, and supply chain
 </li>
 </ul>
 
 
</div>

Data Scientist

Anblicks

<div>
 
 About Anblicks
 
 
 
 
 
 
 Anblicks
 
 is Data and AI Company &ndash; We bring value to your data.
 
 
 
 
 
 Anblicks is a Data and AI company, specializing in data modernization and transformation, that helps organizations across industries make decisions better, faster, and at scale. Enabling Enterprises with Data-Driven Decision Making. Since 2004, Anblicks has been enabling customers across the globe, with their digital transformation journey. Anblicks is headquartered in Addison, Texas, and employs more than 550 technology professionals, data analysts, and data science experts in the USA, India, and Australia.
 
 
 
 
 Anblicks is committed to bringing value to various industries using CloudOps, Data Analytics, and Modern Apps. Global customers benefited from our Anblicks Ignite Enterprise Data Platform and Accelerators.
 
 
 
 
 
 
 https://www.anblicks.com
 
 
 
 
 
 
 Responsibilities
 
 
 &bull; Identify training needs related to cloud operations, intelligent applications, and data analytics through comprehensive surveys, interviews, and consultations with managers and technical teams.
 
 
 &bull; Deliver tailored training programs, including e-learning modules, hands-on workshops, and seminars, to enhance employee expertise in cloud technologies, intelligent applications, and data-driven decision-making.
 
 
 &bull; Evaluate training program effectiveness through detailed feedback, technical assessments, and analytics on performance improvements.
 
 
 &bull; Partner with subject matter experts (SMEs) and external vendors to source and integrate advanced learning resources aligned with the company&rsquo;s technical domains.
 
 
 &bull; Manage and maintain accurate training records in the Learning Management System (LMS) and prepare detailed reports on learning outcomes and business impact.
 
 
 &bull; Support onboarding with specialized training programs focused on cloud computing, AI-driven apps, and analytics tools to ensure new hires are prepared for their roles.
 
 
 &bull; Keep abreast of technological advancements in cloud operations, intelligent apps, and data analytics to ensure the learning content remains cutting-edge and relevant.
 
 
 
 
 
 
 Qualifications
 
 
 
 &bull; Bachelor&rsquo;s degree in human resources, Education, Instructional Design, Computer Science, or a related field; advanced knowledge of cloud operations or data analytics is a plus.
 
 
 &bull; 3+ years of experience in learning and development, preferably in a technology-driven organization.
 
 
 &bull; Proven ability to create and implement technical training programs related to cloud computing, AI applications, and data analytics.
 
 
 &bull; Exceptional communication, facilitation, and presentation skills, especially for complex technical concepts.
 
 
 &bull; Strong project management skills to execute multiple training initiatives simultaneously in a fast-paced tech environment.
 
 
 &bull; Familiarity with e-learning platforms, instructional design tools, and data visualization software.
 
 
 &bull; Understanding of cloud platforms (e.g., AWS, Azure, GCP) and analytics tools (e.g., Tableau, Power BI) is highly desirable.
 
 
 
 
 
 
 Skills
 
 
 
 &bull; Training Needs Analysis with a focus on cloud, AI, and analytics technologies.
 
 
 &bull; Instructional Design and Curriculum Development tailored to technical topics.
 
 
 &bull; Advanced Public Speaking and facilitation for diverse audiences.
 
 
 &bull; Project Management for technology-based learning initiatives.
 
 
 &bull; Proficiency in e-learning platforms and adaptive learning tools.
 
 
 &bull; Data Analytics for training evaluation and performance metrics.
 
 
 &bull; Knowledge of Cloud Platforms (AWS, Azure, GCP) and Data Analytics Tools (Tableau, Power BI).
 
</div>

Learning And Development Specialist

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