1433 Annotation Jobs - Page 7

Description The OPTIMA team is seeking a Manager I, Training. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them with reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Training Manager, will be responsible for planning, coordinating, executing and delivering training programs for OPTIMA business. The ideal candidate will provide regular supervision to the training team, conduct thorough analysis of training outcomes, and deliver constructive performance feedback to drive continuous improvement. They must demonstrate strong capabilities in optimizing training efficiency through systematic approaches, including the development of standardized training materials, implementation of best practices, and utilization of performance analytics. The role demands thought clarity and cross-functional partnership. The candidate will influence stakeholders, have strong analytical skills, a track record of using data and tools to drive business impact and be comfortable working in an ambiguous environment. Key job responsibilities Manage training team across 5 sites. Manage work prioritization and delivery based on business needs. Schedule large-scale training initiatives, tracking training completion, and reporting out on training progress. Maximize productivity and Training efficiency through standardization, strong process documentation, supervision, analysis and performance feedback on a periodic basis. Ensure and drive best practices standardization across all sites. Foster the development and growth of employees (on-boarding, mentoring, teaching, etc.). Ensure training results are trackable, sustainable, achieving goal and strategy. Basic Qualifications A Bachelors Degree with relevant experience of 4+ years with 2+ years of people management. Excellent communication (written & oral), strong organizational skills and detail oriented. Strong analytical, problem-solving, and critical-thinking skills Comfortable working in a fast paced, highly collaborative, dynamic work environment Willingness to support several projects at one time, and to accept re-prioritization as necessary Detail-oriented, team-focused, and a quick problem-solver. Advanced proficiency in MS Office Preferred Qualifications Business Analytics experience Exceptional writing skills and significant experience in people management Familiarity with online learning technology 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 - Karnataka - A66 Job ID: A3040161

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who We Are ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotive! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. Job Summary We are looking for an experienced and motivated Data Annotations Operator III to lead our team of annotators. In this role, you will ensure the team delivers high-quality annotated datasets to support machine learning and AI model development. You will oversee the annotation process, maintain quality standards, and serve as a liaison between the annotation team and project stakeholders. Key Responsibilities Team Leadership: Supervise, mentor, and provide guidance to the data annotation team. Coordinate task assignments, set priorities, and ensure timely delivery of projects. Conduct regular team meetings to align on project goals and address challenges. Quality Assurance: Review and validate annotated datasets to ensure they meet accuracy and quality standards. Identify and address discrepancies or errors in annotations. Develop and enforce quality control measures and performance metrics. Process Optimization: Collaborate with project managers and data scientists to define annotation guidelines and requirements. Continuously improve workflows to enhance team efficiency and productivity. Provide feedback to improve annotation tools and processes. Training and Development: Train new team members on annotation tools, workflows, and best practices. Conduct skill-building sessions to keep the team updated on new tools and techniques. Monitor individual performance and provide constructive feedback for growth. Reporting and Communication: Prepare and present progress reports to stakeholders. Act as the point of contact between the annotation team and other departments. Escalate challenges and propose solutions for project-related issues. Required Qualifications and Skills: Proven experience in data annotation, data labeling, or a related field with 4 years' experience Prior experience in a supervisory or leadership role. Strong knowledge of annotation tools Excellent organizational and time management skills. Strong communication skills and the ability to motivate and manage a team. Attention to detail and a commitment to high-quality work. Teammates are required to work in shifts aligned with customer time zones Preferred Experience with scripting or automation for annotation processes. Knowledge of specific data domains (e.g, automotive). Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Data Processing Consent When you apply to a job on this site, the personal data contained in your application will be collected by ACV Auctions Inc. and/or one of its subsidiaries ("ACV Auctions"). By clicking "apply", you hereby provide your consent to ACV Auctions and/or its authorized agents to collect and process your personal data for purpose of your recruitment at ACV Auctions and processing your job application. ACV Auctions may use services provided by a third party service provider to help manage its recruitment and hiring process. For more information about how your personal data will be processed by ACV Auctions and any rights you may have, please review ACV Auctions' candidate privacy notice here. If you have any questions about our privacy practices, please contact datasubjectrights@acvauctions.com.

Job Title: Consultant Cardiothoracic Radiologist (with Chest CT Experience) Duration : Limited Contract (1 year), Paid for per hours worked only Fees : Rupees 3000/ Hour Overview : We are seeking enthusiastic professionals to partner with and serve as Subject Matter Experts for our robotic surgery projects. Contracts have complete flexibility to work around your existing schedule, be part-time, and are remote in nature (i.e., work from home). In that role, you would perform manual data labeling across a variety of imaging modalities and pathologies, train specialist annotation teams, and evaluate and give feedback on annotated surgical datasets. Job Role: Perform data annotation, quality control and feedback, to produce a dataset for machine learning purposes. Contribute to creating internal anatomy and surgical training guides for annotation purposes. Images & videos will be provided digitally on custom iMerit software, 3rd party, or client platforms to be performed based on your availability. Communicate with iMerit’s Medical AI team and clients regarding proposed projects and ongoing management. Required Skills : Cardiothoracic fellowship training is a must. Experience in Chest CT Computer Literacy Strong English Language Skills preferred Passion for impacting lives and a great work ethic Qualification : MD or DNB in Radiology Experience : 2 – 5 years (post qualification) Mode of Work : Contractual Place of Work : Remote Company overview: iMerit is a well-funded, rapidly expanding global leader in data services for Artificial Intelligence in Healthcare. iMerit’s dedicated Medical Division works with the world’s largest pharmaceutical companies, medical device manufacturers, and hospital networks to supply the data that powers advances in Machine Learning. At iMerit, we have successfully delivered data services to power cutting-edge technologies such as digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery. In 2022, iMerit was awarded the prestigious Great Place to Work certification for the second year in a row. The certification is recognized by employees and employers around the globe as the ‘Gold Standard’ for workplace excellence. This recognition reiterates the company’s commitment to creating an inclusive work culture where employees can grow as technology professionals and achieve their goals. In iMerit gender equality is not a business metaphor but being put in practice in its true sense. Our Women in Tech, making up over 50% of the company, are thriving and contributing to the development of cutting-edge AI technologies in different industries. If you are an aspiring learner, looking to make a career in a fast-growing technology company, join iMerit’s rapidly expanding team and become part of an award-winning organization that is shaping the future of data enrichment, annotation and labeling in Artificial Intelligence, Machine Learning. For more information, visit: www.imerit.net

Job Description Work as part of WSP’s UK iCRC Water team in Bengaluru. Production of high-quality 3D BIM Models in Civil 3D, Revit/PLant 3D. Perform variety of 3D CAD modeling assignments under minimal supervision. Coordinate with Sr. Design Engineer/ BIM Coordinator/ Design Engineer for the information required to prepare BIM models and generate drawings as per specifications defined by our Client. Must have good 3D visualization capabilities. Must possess a good ability to work independently/ moderate supervision from BIM Coordinator. Collaborate with other designers, engineers, architects and clients to convert information into layout designs, drawings and models using AutoCAD, Civil3D, REVIT/ Plant 3D. Decipher information received from various formats (hand sketches, BIM Execution Plans and Architectural drawings). Experience within infrastructure especially WTP-WWTP projects is a plus. Should be interested and able to work in an international environment. Complete other duties as assigned appropriate for the designated grade level. Responsibilities Good command of written and verbal English. Candidate should have a clear and demonstrable technical understanding of standards and norms pertaining to UK Water Industry. Problem solving and originality. Computer literate, e.g. Word, Excel, PowerPoint and Outlook. Successful candidate will be a dynamic, self-motivated individual focused on delivery to the client and technical excellence. The role requires assisting BIM Coordinator and Sr. Design Engineer in managing several projects and becoming involved in design at an early stage. The ability to plan your deliverables against UK engineering standards for each stage of a project is a pre-requisite and training and guidance will be provided where necessary. Cultural awareness, conscientious and an open mind and excellent communication skills are essential requirements for the role. Ability to work under pressure and with moderate amount of supervision. Accountable and see the big picture of the project to achieve the best result for the client Careful and responsible. Understand the concept of working in a team. Willingness to travel to the UK for short term assignments and training. Strong attention to details and ability to make correct judgements. Qualifications Degree/Diploma in Engineering. Experience with Civil/ Architectural/ Structural/ Mechanical drawings, developing equipment layout and site plan drawings. Experience in leading the modeling related tasks and coordinating with client to get the deliverables completed on schedule and budget. Must possess a good working knowledge of core 3D CADD applications (such as Revit, Civil 3D, Plant 3D), as outlined above. Must have acceptable knowledge in handling Revit and other BIM application tools and concepts of BIM. Capable of producing Revit plans, sections, elevations, details, schedules etc. must be familiar with all Revit tools and creating and editing view range, drafting views, view templates, system families, materials, project/shared parameters, multi-category schedules, project title blocks, worksets, Revit category-based profile, annotation families etc., must be capable of linking multiple Revit files and work. Capable of handling Revit projects with guidance from superior and managing/ sharing work with others. Must be capable of performing Clash detection using Navisworks and Revit interference check, export Clash reports, review clash reports etc. Create Dynamic Blocks with parameters Use different 3D representations such as shading, conceptual etc. Export 3D geometry for use by subcontractors and outside agencies. Assist in the production of 2D sheets (plans, sections, 3D clips and details) from 3D/4D multi-discipline models (Transitional 2D techniques)

About The Job About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For Clinical Database Programmer with a solid understanding of Clinical Protocol, Medical and Scientific Principles of conducting clinical trials. We are seeking an individual who not only possesses the requisite expertise but also thrives in a fast-paced environment. What You’ll Do Design the eCRF layout and the database corresponding to the eCRFs to hold the data from the EDC system and Setup Core Configurations. Implementing the Dynamic rules as per the Sponsor requirements. Create, test, and maintain trial-specific plausibility and consistency Edit Checks as per Data Validation Specification. Analyze complex checks and Develop Custom Functions using C# for Rave studies or other EDC. Incorporate internal feedback and update programs as required. Incorporate Sponsor Acceptance Testing (SAT) feedback. Maintain and update the eCRFs and their components as required for protocol amendments or required metadata updates. Perform second/final review for peer deliverables. Create RAVE System Configuration Specification (Core config, Report Config, e-learning config, Appendix config & coding spec in RAVE or other EDC). Incorporate RAVE Configuration Specification. Facilitate Internal Configuration Review Meeting (ICRM). Revise and update eCRF booklet, DVS and Configuration Specification. Facilitate Sponsor Acceptance Meeting (SAM). Handle issues related to QC/UAT/PROD and tracking issues to closer. Review of the DVS for clarity and to ensure checks are consistent and appropriate based on eCRF design. Provide feedback to DVS author. Support CRO trial activities, including CRF annotation, database setup, specification generation, Clinical view settings, and dataset comparison. Create reports as per the Sponsor specification document using JReview, SAS, BOXI. Estimate and perform migration process for Post Go-Live studies (handling RFCs). Performe DB Coordinator role for multiple trials. Mentor new hires in CRO and EDC activities. Must Have Protocol reading and understanding Expertise in ‘Critical Data Point Strategy (CDPS) or SDV’ implementation. Scientific background: A solid understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials. Strong writing and communication skills: The ability to clearly articulate and concisely explain complex information. Research and analytical skills: Ability to gather, interpret, and synthesize data into insightful information. Attention to detail: Ensuring accuracy and adherence to guidelines such as Protocol, Specification, Library Standards, ICH GCP, etc. Project management skills: Managing the document development process and meeting timelines. People management skills: Managing the team of highly qualified individuals (applicable for Team Lead role only). Certified Medidata Study Builder (SDBE), Oracle - InForm/ Central Designer, Veeva Studio B.E./B.Tech - Computer Science-based courses or Circuit Branches) M.Sc./ MCA in the stream of Computer Science B.Sc./ BCA in the stream of Computer Science) Why Join Us? Be part of a fast-growing consulting firm making a real impact in the healthcare space. Work directly with leadership and stakeholders. Own and shape the marketing strategy, with full freedom to innovate and experiment. Locations we are currently hiring for this role: Pune, Gurgaon, Bangalore, Kochi, Hyderabad, Chennai Skills: database management,dynamic rules implementation,project management,central designer,plausibility and consistency checks,veeva studio,critical data point strategy (cdps),report generation (jreview, sas, boxi),attention to detail,data validation specification,edc systems,research and analytical skills,clinical protocol,ecrf layout design,rave studies,people management,clinical database programming,strong writing and communication,c# programming,medical and scientific principles,post go-live studies migration,oracle inform,protocol understanding

Role / Designation: Project Manager - Operations Years of Experience: 7-10 years of relevant experience in Client Facing role in IT Services; BPO/ KPO Background ( preferred) Education Qualifications : Engineering Degree / Master’s Degree / Bachelor’s Degree Certifications: PMP or Prince 2 certification or Any other industry recognized Project Management Certification (Any One) Other requirements: Ability to travel between iMerit offices up to 25%. Location: Vishakhapatnam, Andhra Pradesh. Responsibilities will include but not limited to the following: ● Strong written and verbal communication skills; ability to communicate effectively with clients and cross-border colleagues. ● End-to-end understanding of outsourcing models, SLAs, and KPIs. ● Leverage people, process and technical expertise to identify opportunities for quality & process design improvement to support the three fundamental outcomes – Faster, Cheaper, Better while upholding the company’s social impact mission. ● Ability to handle multiple competing priorities in a fast-paced environment. ● Strong Problem Solving / Troubleshooting skills ● Proven experience in building teams from scratch and growing individuals into Team Leads & managers. ● Initiate and develop partnerships with customers and customer success managers to define and evaluate service performance outcomes. ● Ability to keep your employees motivated, resolve conflicts and make hard decisions for your employees. ● Liaise with senior stakeholders in other functions on key dependencies and identify/create synergies for optimal client experience. ● Collaborate with delivery client teams and other stakeholders across iMerit, with an understanding of the diverse needs of each stakeholder About Company: iMerit (https://imerit.net) delivers data annotation, classification and content moderation outcomes that power AI, Machine Learning and data operation strategies of some of the leading AI organizations in the world. Our work encompasses a client’s journey from exploratory R&D to proof of concept to mission-critical, production-ready solutions. We leverage advanced tools, machine learning algorithms and workflow best practices to enrich, annotate and label large volumes of unstructured data and unlock hidden value. In our human powered computing model, technology solves for throughput, while our managed workforce teams (across delivery centers in India, Bhutan and the US) solve for accuracy through their deep expertise in Computer Vision, Natural Language Processing and Content Services, and across verticals such as Autonomous Vehicles, Medical AI, Finance, Geospatial technologies and many more. iMerit also creates inclusive and diverse employment in the digital IT sector - around 80% of our workforce are sourced from various impact communities and >50% are women.

About The Job About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For Clinical Database Programmer with a solid understanding of Clinical Protocol, Medical and Scientific Principles of conducting clinical trials. We are seeking an individual who not only possesses the requisite expertise but also thrives in a fast-paced environment. What You’ll Do Design the eCRF layout and the database corresponding to the eCRFs to hold the data from the EDC system and Setup Core Configurations. Implementing the Dynamic rules as per the Sponsor requirements. Create, test, and maintain trial-specific plausibility and consistency Edit Checks as per Data Validation Specification. Analyze complex checks and Develop Custom Functions using C# for Rave studies or other EDC. Incorporate internal feedback and update programs as required. Incorporate Sponsor Acceptance Testing (SAT) feedback. Maintain and update the eCRFs and their components as required for protocol amendments or required metadata updates. Perform second/final review for peer deliverables. Create RAVE System Configuration Specification (Core config, Report Config, e-learning config, Appendix config & coding spec in RAVE or other EDC). Incorporate RAVE Configuration Specification. Facilitate Internal Configuration Review Meeting (ICRM). Revise and update eCRF booklet, DVS and Configuration Specification. Facilitate Sponsor Acceptance Meeting (SAM). Handle issues related to QC/UAT/PROD and tracking issues to closer. Review of the DVS for clarity and to ensure checks are consistent and appropriate based on eCRF design. Provide feedback to DVS author. Support CRO trial activities, including CRF annotation, database setup, specification generation, Clinical view settings, and dataset comparison. Create reports as per the Sponsor specification document using JReview, SAS, BOXI. Estimate and perform migration process for Post Go-Live studies (handling RFCs). Performe DB Coordinator role for multiple trials. Mentor new hires in CRO and EDC activities. Must Have Protocol reading and understanding Expertise in ‘Critical Data Point Strategy (CDPS) or SDV’ implementation. Scientific background: A solid understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials. Strong writing and communication skills: The ability to clearly articulate and concisely explain complex information. Research and analytical skills: Ability to gather, interpret, and synthesize data into insightful information. Attention to detail: Ensuring accuracy and adherence to guidelines such as Protocol, Specification, Library Standards, ICH GCP, etc. Project management skills: Managing the document development process and meeting timelines. People management skills: Managing the team of highly qualified individuals (applicable for Team Lead role only). Certified Medidata Study Builder (SDBE), Oracle - InForm/ Central Designer, Veeva Studio B.E./B.Tech - Computer Science-based courses or Circuit Branches) M.Sc./ MCA in the stream of Computer Science B.Sc./ BCA in the stream of Computer Science) Why Join Us? Be part of a fast-growing consulting firm making a real impact in the healthcare space. Work directly with leadership and stakeholders. Own and shape the marketing strategy, with full freedom to innovate and experiment. Locations we are currently hiring for this role: Pune, Gurgaon, Bangalore, Kochi, Hyderabad, Chennai Skills: database management,dynamic rules implementation,project management,central designer,plausibility and consistency checks,veeva studio,critical data point strategy (cdps),report generation (jreview, sas, boxi),attention to detail,data validation specification,edc systems,research and analytical skills,clinical protocol,ecrf layout design,rave studies,people management,clinical database programming,strong writing and communication,c# programming,medical and scientific principles,post go-live studies migration,oracle inform,protocol understanding

About the Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. Data Labelling operations is one of the core functional teams within Uber AI Solutions with the responsibility to oversee the end-to-end lifecycle of the data annotation programs for B2B clients. At its core, our ability to build industry-leading data annotation programs is our right to win in this space. As a seasoned program manager for data labeling in the Gen AI space, you will be responsible for defining the programs and its key objectives to support LLM model training. You will drive cross-functional efforts across Operations, Product, Engg and Legal to define the Program-level Ops strategy, define scalable data labeling workflows leveraging internal tools, external vendors, and automation. The role will also shape and lead Scaled Solutions task/ product/ feature launches and improvements by working closely with global Supply, product, and engineering teams. You will be required to work with a geographically diverse team. True to Uber values, we are looking for a leader with an owner" and go-get-it" mindset who is ready to scale a brand new business line. You need to be customer-obsessed and build with heart" ‌ while demonstrating ability to build the vision as well as roll up the sleeves and get into action to see the forest and the trees". If you're passionate about re-imagining the gig marketplace for skilled workers and impacting the lives of millions of skilled gig workers while working with a top-tier team, this is the opportunity for you - What the you Will Do - Define the key objectives for data labeling projects to support generative AI initiatives Partner with stakeholders (Account Executives, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria Represent Scaled Solutions in Customer meetings along with Account Executives Design scalable data labeling workflows that leverage internal tools, external vendors, and automation Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate. Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines Implement robust quality assurance processes to validate labeled datasets against gold standards Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements Manage program budgets, including vendor costs and internal resources. Forecast resource requirements and ensure efficient allocation to meet deadlines Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models - Basic Qualifications - 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training Experience working in a fast-paced, ambiguous work environment Strong knowledge of machine learning concepts, particularly around supervised learning and training data needs Experience working with data annotation platforms and tools. Proven track record of managing large-scale projects with cross-functional teams and external vendors - Preferred Qualifications - Experience in Generative AI, including text, image, video or audio data labeling Familiarity with active learning, semi-supervised labeling, and human-in-the-loop systems Proficiency in data annotation tools and scripting languages (Python, SQL) to analyze datasets and processes Strong understanding of ethical AI and best practices for minimizing dataset bias. Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies Excellent project management skills, with a proven ability to juggle multiple priorities and deadlines You are a builder who wants to be empowered to make big bets Demonstrated ability to work independently and effectively across internal and external organizations Ability to take initiative in a constantly-changing work environment Exceptional written and verbal communication, and organizational skills

DESCRIPTION In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to ‘making zero happen’ – zero cost of returns, zero waste, and zero defects – to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth’s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development – all helping to delight our customers through new experiences throughout their Amazon shopping journey. Need candidates in language proficiency in: Spanish, French, German, Italian. Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines Maintain high-quality standards for annotated data to optimize model performance Continuously evaluate and improve annotation processes to enhance efficiency and accuracy Strong analytical skills and the ability to deep-dive on complex problems Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills BASIC QUALIFICATIONS Bachelor's degree Speak, write, and read fluently in English Experience with Microsoft Office products and applications 1+ years of proven experience in data annotation and labeling for ML model training and evaluation PREFERRED QUALIFICATIONS Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation Understanding of data annotation methodologies and tools Familiarity with Amazon's product and category ecosystem Previous exposure to machine learning concepts and algorithms Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Fulfillment & Operations Management

- MBA - PMP certificate - 7+ years of team management experience - 7+ years of program or project management experience - Experience defining program requirements and using data and metrics to determine improvements - 10 + Experience in annotations, training, audits, or operations Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. Amazon Fulfillment Center Experience 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.

About The Job About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For Clinical Database Programmer with a solid understanding of Clinical Protocol, Medical and Scientific Principles of conducting clinical trials. We are seeking an individual who not only possesses the requisite expertise but also thrives in a fast-paced environment. What You’ll Do Design the eCRF layout and the database corresponding to the eCRFs to hold the data from the EDC system and Setup Core Configurations. Implementing the Dynamic rules as per the Sponsor requirements. Create, test, and maintain trial-specific plausibility and consistency Edit Checks as per Data Validation Specification. Analyze complex checks and Develop Custom Functions using C# for Rave studies or other EDC. Incorporate internal feedback and update programs as required. Incorporate Sponsor Acceptance Testing (SAT) feedback. Maintain and update the eCRFs and their components as required for protocol amendments or required metadata updates. Perform second/final review for peer deliverables. Create RAVE System Configuration Specification (Core config, Report Config, e-learning config, Appendix config & coding spec in RAVE or other EDC). Incorporate RAVE Configuration Specification. Facilitate Internal Configuration Review Meeting (ICRM). Revise and update eCRF booklet, DVS and Configuration Specification. Facilitate Sponsor Acceptance Meeting (SAM). Handle issues related to QC/UAT/PROD and tracking issues to closer. Review of the DVS for clarity and to ensure checks are consistent and appropriate based on eCRF design. Provide feedback to DVS author. Support CRO trial activities, including CRF annotation, database setup, specification generation, Clinical view settings, and dataset comparison. Create reports as per the Sponsor specification document using JReview, SAS, BOXI. Estimate and perform migration process for Post Go-Live studies (handling RFCs). Performe DB Coordinator role for multiple trials. Mentor new hires in CRO and EDC activities. Must Have Protocol reading and understanding Expertise in ‘Critical Data Point Strategy (CDPS) or SDV’ implementation. Scientific background: A solid understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials. Strong writing and communication skills: The ability to clearly articulate and concisely explain complex information. Research and analytical skills: Ability to gather, interpret, and synthesize data into insightful information. Attention to detail: Ensuring accuracy and adherence to guidelines such as Protocol, Specification, Library Standards, ICH GCP, etc. Project management skills: Managing the document development process and meeting timelines. People management skills: Managing the team of highly qualified individuals (applicable for Team Lead role only). Certified Medidata Study Builder (SDBE), Oracle - InForm/ Central Designer, Veeva Studio B.E./B.Tech - Computer Science-based courses or Circuit Branches) M.Sc./ MCA in the stream of Computer Science B.Sc./ BCA in the stream of Computer Science) Why Join Us? Be part of a fast-growing consulting firm making a real impact in the healthcare space. Work directly with leadership and stakeholders. Own and shape the marketing strategy, with full freedom to innovate and experiment. Locations we are currently hiring for this role: Pune, Gurgaon, Bangalore, Kochi, Hyderabad, Chennai Skills: database management,dynamic rules implementation,project management,central designer,plausibility and consistency checks,veeva studio,critical data point strategy (cdps),report generation (jreview, sas, boxi),attention to detail,data validation specification,edc systems,research and analytical skills,clinical protocol,ecrf layout design,rave studies,people management,clinical database programming,strong writing and communication,c# programming,medical and scientific principles,post go-live studies migration,oracle inform,protocol understanding

About The Job About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For Clinical Database Programmer with a solid understanding of Clinical Protocol, Medical and Scientific Principles of conducting clinical trials. We are seeking an individual who not only possesses the requisite expertise but also thrives in a fast-paced environment. What You’ll Do Design the eCRF layout and the database corresponding to the eCRFs to hold the data from the EDC system and Setup Core Configurations. Implementing the Dynamic rules as per the Sponsor requirements. Create, test, and maintain trial-specific plausibility and consistency Edit Checks as per Data Validation Specification. Analyze complex checks and Develop Custom Functions using C# for Rave studies or other EDC. Incorporate internal feedback and update programs as required. Incorporate Sponsor Acceptance Testing (SAT) feedback. Maintain and update the eCRFs and their components as required for protocol amendments or required metadata updates. Perform second/final review for peer deliverables. Create RAVE System Configuration Specification (Core config, Report Config, e-learning config, Appendix config & coding spec in RAVE or other EDC). Incorporate RAVE Configuration Specification. Facilitate Internal Configuration Review Meeting (ICRM). Revise and update eCRF booklet, DVS and Configuration Specification. Facilitate Sponsor Acceptance Meeting (SAM). Handle issues related to QC/UAT/PROD and tracking issues to closer. Review of the DVS for clarity and to ensure checks are consistent and appropriate based on eCRF design. Provide feedback to DVS author. Support CRO trial activities, including CRF annotation, database setup, specification generation, Clinical view settings, and dataset comparison. Create reports as per the Sponsor specification document using JReview, SAS, BOXI. Estimate and perform migration process for Post Go-Live studies (handling RFCs). Performe DB Coordinator role for multiple trials. Mentor new hires in CRO and EDC activities. Must Have Protocol reading and understanding Expertise in ‘Critical Data Point Strategy (CDPS) or SDV’ implementation. Scientific background: A solid understanding of Clinical Protocol, medical and scientific principles of conducting clinical trials. Strong writing and communication skills: The ability to clearly articulate and concisely explain complex information. Research and analytical skills: Ability to gather, interpret, and synthesize data into insightful information. Attention to detail: Ensuring accuracy and adherence to guidelines such as Protocol, Specification, Library Standards, ICH GCP, etc. Project management skills: Managing the document development process and meeting timelines. People management skills: Managing the team of highly qualified individuals (applicable for Team Lead role only). Certified Medidata Study Builder (SDBE), Oracle - InForm/ Central Designer, Veeva Studio B.E./B.Tech - Computer Science-based courses or Circuit Branches) M.Sc./ MCA in the stream of Computer Science B.Sc./ BCA in the stream of Computer Science) Why Join Us? Be part of a fast-growing consulting firm making a real impact in the healthcare space. Work directly with leadership and stakeholders. Own and shape the marketing strategy, with full freedom to innovate and experiment. Locations we are currently hiring for this role: Pune, Gurgaon, Bangalore, Kochi, Hyderabad, Chennai Skills: database management,dynamic rules implementation,project management,central designer,plausibility and consistency checks,veeva studio,critical data point strategy (cdps),report generation (jreview, sas, boxi),attention to detail,data validation specification,edc systems,research and analytical skills,clinical protocol,ecrf layout design,rave studies,people management,clinical database programming,strong writing and communication,c# programming,medical and scientific principles,post go-live studies migration,oracle inform,protocol understanding

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with a specialization in Computer Vision & Un-Supervised Learning to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for smart surveillance applications , including real-time detection, facial recognition, and activity analysis. This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in real-world production environments , both in the cloud and on edge devices . Key Responsibilities: AI/ML Development & Computer Vision Design, train, and evaluate models for: Face detection and recognition Object/person detection and tracking Intrusion and anomaly detection Human activity or pose recognition/estimation Work with models such as YOLOv8, DeepSORT, RetinaNet, Faster-RCNN, and InsightFace. Perform data preprocessing, augmentation, and annotation using tools like LabelImg, CVAT, or custom pipelines. Surveillance System Integration Integrate computer vision models with live CCTV/RTSP streams for real-time analytics. Develop components for motion detection , zone-based event alerts , person re-identification , and multi-camera coordination . Optimize solutions for low-latency inference on edge devices (Jetson Nano, Xavier, Intel Movidius, Coral TPU). Model Optimization & Deployment Convert and optimize trained models using ONNX , TensorRT , or OpenVINO for real-time inference. Build and deploy APIs using FastAPI , Flask , or TorchServe . Package applications using Docker and orchestrate deployments with Kubernetes . Automate model deployment workflows using CI/CD pipelines (GitHub Actions, Jenkins). Monitor model performance in production using Prometheus , Grafana , and log management tools. Manage model versioning, rollback strategies, and experiment tracking using MLflow or DVC . As an AI/ML Engineer, you should be well-versed of AI agent development and finetuning experience Collaboration & Documentation Work closely with backend developers, hardware engineers, and DevOps teams. Maintain clear documentation of ML pipelines, training results, and deployment practices. Stay current with emerging research and innovations in AI vision and MLOps. Required Qualifications: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. 3–6 years of experience in AI/ML, with a strong portfolio in computer vision, Machine Learning . Hands-on experience with: Deep learning frameworks: PyTorch, TensorFlow Image/video processing: OpenCV, NumPy Detection and tracking frameworks: YOLOv8, DeepSORT, RetinaNet Solid understanding of deep learning architectures (CNNs, Transformers, Siamese Networks). Proven experience with real-time model deployment on cloud or edge environments. Strong Python programming skills and familiarity with Git, REST APIs, and DevOps tools. Preferred Qualifications: Experience with multi-camera synchronization and NVR/DVR systems. Familiarity with ONVIF protocols and camera SDKs. Experience deploying AI models on Jetson Nano/Xavier , Intel NCS2 , or Coral Edge TPU . Background in face recognition systems (e.g., InsightFace, FaceNet, Dlib). Understanding of security protocols and compliance in surveillance systems. Tools & Technologies: Languages & AI - Python, PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn Model Serving - FastAPI, Flask, TorchServe, TensorFlow Serving, REST/gRPC APIs Model Optimization - ONNX, TensorRT, OpenVINO, Pruning, Quantization Deployment - Docker, Kubernetes, Gunicorn, MLflow, DVC CI/CD & DevOps - GitHub Actions, Jenkins, GitLab CI Cloud & Edge - AWS SageMaker, Azure ML, GCP AI Platform, Jetson, Movidius, Coral TPU Monitoring - Prometheus, Grafana, ELK Stack, Sentry Annotation Tools - LabelImg, CVAT, Supervisely Benefits: Competitive compensation and performance-linked incentives. Work on cutting-edge surveillance and AI projects. Friendly and innovative work culture. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Bigwigs Technologies Job Title: Image Annotator – 2D & 3D Projects Job Type: Full-time / Contract Experience: 0–2 years (Freshers Welcome) Job Description: Bigwigs Technologies is seeking meticulous and dedicated Image Annotators to work on cutting-edge 2D and 3D computer vision projects. You’ll be contributing to the future of AI by preparing high-quality training data that powers intelligent systems. Key Responsibilities: Annotate images and videos using various 2D and 3D tools. Work with bounding boxes, segmentation, polygons, and point cloud annotations. Follow strict guidelines and quality standards for each project. Meet daily/weekly productivity and accuracy benchmarks. Collaborate with team leads to resolve doubts and ensure consistency. Required Skills: Basic understanding of image/video annotation. Strong attention to detail and ability to follow instructions. Comfortable working with computers and annotation software. Good communication and teamwork skills. Willingness to learn new tools and techniques. Preferred Qualifications: Prior experience with platforms like Labelbox, V7, CVAT, or Supervisely. Knowledge of 3D point cloud data, LiDAR annotations, or related domains. Background in data labeling, AI/ML training data, or image processing is a plus. Perks & Benefits: Competitive salary and timely payments Skill enhancement training Opportunity to work on global projects Flexible shift timings (if remote) Performance bonuses How to Apply: Interested candidates can apply via Indeed, nilofar@bigwigstech.com or contact Mrs. Nilofar at +91 63824 73625 for more details. Bigwigs Technologies – Powering AI with Quality Data Since 2013 Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Provident Fund Schedule: Day shift Night shift Supplemental Pay: Performance bonus Ability to commute/relocate: Trichy, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Language: English (Required) Work Location: In person

GlobalLogic is currently seeking a detail-oriented and linguistically proficient Associate Language Expert in Portuguese to provide support for various content-related tasks such as translation, localization, transcription, annotation, and quality review. The ideal candidate for this role should possess strong language skills, cultural awareness, and a keen eye for detail to ensure high linguistic quality across a variety of projects. Requirements: - 0-2 years of experience as a Portuguese Translator/Portuguese Specialist - A2/B1 certification is required - Must be flexible with rotational shifts and weekoffs (365 days, 24/7 support) - Excellent communication skills in both Portuguese and English, including reading, writing, and email etiquette - Good understanding of all forms of public transport - Skilled researcher comfortable using various online sources in different languages - Keen attention to detail and self-motivated - Knowledge of a second language (Spanish, German, or French) is a plus - Technical support or problem-solving experience preferred but not necessary - Ability to maintain a positive attitude and attention to detail during repetitive tasks - Adaptability and willingness to learn new projects and processes - Good judgment and decision-making capability - Educational background in any graduate field - Customer service background in the communications team is beneficial but not mandatory Job Responsibilities: - Able to read and write provided text in the recommended format - Strong proficiency in Portuguese and English grammar, including articulation and sentence structure - Ability to coordinate and switch between multiple workflows in a fast-paced environment - Strong web research ability, including analyzing and interpreting patterns and trends, and recording findings using appropriate software What We Offer: At GlobalLogic, we prioritize a culture of caring where people come first. We offer continuous learning and development opportunities, interesting and meaningful work, balance, and flexibility, and we operate as a high-trust organization based on integrity and ethical practices. About GlobalLogic: GlobalLogic, a Hitachi Group Company, has been a trusted digital engineering partner since 2000. We collaborate with the world's largest companies to create innovative digital products and experiences, transforming businesses and industries through intelligent products, platforms, and services.,

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. Data Labelling operations is one of the core functional teams within Uber AI Solutions with the responsibility to oversee the end-to-end lifecycle of the data annotation programs for B2B clients. At its core, our ability to build industry-leading data annotation programs is our right to win in this space. As a seasoned program manager for data labeling in the Gen AI space, you will be responsible for defining the programs and its key objectives to support LLM model training. You will drive cross-functional efforts across Operations, Product, Engg and Legal to define the Program-level Ops strategy, define scalable data labeling workflows leveraging internal tools, external vendors, and automation. The role will also shape and lead Scaled Solutions task/ product/ feature launches and improvements by working closely with global Supply, product, and engineering teams. You will be required to work with a geographically diverse team. True to Uber values, we are looking for a leader with an owner" and go-get-it" mindset who is ready to scale a brand new business line. You need to be customer-obsessed and build with heart" ‌ while demonstrating ability to build the vision as well as roll up the sleeves and get into action to see the forest and the trees". If you're passionate about re-imagining the gig marketplace for skilled workers and impacting the lives of millions of skilled gig workers while working with a top-tier team, this is the opportunity for you ---- What the you Will Do ---- Define the key objectives for data labeling projects to support generative AI initiatives Partner with stakeholders (Account Executives, Data Scientists, Machine Learning Engineers, and Product Managers) to identify data requirements and success criteria Represent Scaled Solutions in Customer meetings along with Account Executives Design scalable data labeling workflows that leverage internal tools, external vendors, and automation Optimize workflows for efficiency, accuracy, and cost-effectiveness, incorporating active learning and pre-labeling techniques where appropriate. Engage and manage relationships with data labeling vendors, ensuring timely delivery and adherence to quality standards Collaborate with cross-functional teams to align labeling efforts with broader AI model development timelines Implement robust quality assurance processes to validate labeled datasets against gold standards Use metrics such as inter-annotator agreement, precision/recall, and throughput to monitor quality and make improvements Manage program budgets, including vendor costs and internal resources. Forecast resource requirements and ensure efficient allocation to meet deadlines Advocate for inclusive and unbiased labeling practices to mitigate bias in AI models Basic Qualifications 5+ years experience managing scaled operations programs with 1+ year experience in GenAI / model training Experience working in a fast-paced, ambiguous work environment Strong knowledge of machine learning concepts, particularly around supervised learning and training data needs Experience working with data annotation platforms and tools. Proven track record of managing large-scale projects with cross-functional teams and external vendors Preferred Qualifications Experience in Generative AI, including text, image, video or audio data labeling Familiarity with active learning, semi-supervised labeling, and human-in-the-loop systems Proficiency in data annotation tools and scripting languages (Python, SQL) to analyze datasets and processes Strong understanding of ethical AI and best practices for minimizing dataset bias. Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders Strong understanding of the gig economy landscape, freelancer behaviors, and recruitment strategies Excellent project management skills, with a proven ability to juggle multiple priorities and deadlines You are a builder who wants to be empowered to make big bets Demonstrated ability to work independently and effectively across internal and external organizations Ability to take initiative in a constantly-changing work environment Exceptional written and verbal communication, and organizational skills

Tech Specialist with strong analytical and technical ability with over 13 years of experience in enterprise Web applications, REST services and Workflow Processing Service development using Java/J2EE technologies. Experienced in working on medium to large enterprise projects, preferably in financial services Knowledge/Experience: Should have hands on experience on designing & development of scalable, distributed applications. Architect large scale of applications using spark, kafka & big data technologies Knowledge of Hadoop architecture. Knowledge of frameworks – Velocity, Springs, Spring Boot. Knowledge of OOAD, UML and design Patterns Should have strong insight on OOPS concept and good hands on experience on Java (version 1.8 or above) and other java-based frameworks like Spring Batch, Spring IOC, Spring Annotation, Spring Security. Should have hands on experience on messaging platform like Kafka. Good working knowledge of JBPM as BPMN Framework is must. Good working knowledge of Docker, Kubernetes and OpenShift is a must. Should have strong knowledge of Java design patterns, microservice design patterns, event streams, event/message-based architecture, Domain driven design etc. Should have strong knowledge of API based architecture and SOA. Expertise in Server less, tomcat (Embedded/Non-Embedded), jetty (Embedded/Non-Embedded), WebSphere, Spring Batch, Spring IOC, Spring Annotation, Spring Security Expertise in mocking, Junit and perf testing of solutions. Should possess basic Unix/Linux knowledge to be able to write and understand basic shell scripts and basic Unix commands Good working knowledge of in memory distributed caches (Hazelcast, Gemfire) is good to have. Person should have worked in Agile/DevOps Environment. knowledge on webserver setup and configuration with reverse proxy/ssl setup etc (preferred nginx webserver) is a plus Good to have skills: Financial markets background is preferable but is not a must Knowledge of testing concepts (TDD, BDD) is a plus. Knowledge of ELK/App Dynamics Knowledge of other programming languages like Vaadin (UI Framework), Kotlin, scala, shell scripting etc is good to have. Key Responsibilities: A seasoned SME and technical specialist in Client On boarding/AML/KYC/Account Opening domain Translate business requirements into technical documents/code Employ standards, frameworks and patterns while designing and developing components. Implement appropriate design standards, frameworks and patterns while designing and developing components Implement and maintain a suite of Workflow driven, Java application with RESTful services. Develop high quality code employing software engineering and testing best practices. Developing software that processes, persists and distributes data via relational and non-relational technologies Hands on coding, authoring unit tests/Junit, performance tests and maintaining high code quality. Needs to be able to react and provide quick turnaround to business requirements and management requests Well versed in Agile Development Life Cycle and capable to lead a team of developers. Partner with database developers to implement ingestion, orchestration, quality/reconciliation and distribution services Ability to work independently, good communication skills, has experience in working on complex and medium to large projects. Job Background: The position is based in India and is required to focus on delivery of the work, ensuring a robust design This role may report to the technology team lead based in Pune Candidate should be able to work independently and should be self-motivated Candidate might be required to work with vendors or third parties in joint delivery teams The role requires application of technical skills and knowledge of the business to develop solutions to meet business needs As part of large, geographically distributed team(s), the candidate may have to manage stakeholders across multiple functional areas The position requires analytical skills in order to filter, prioritize and validate potentially complex material, technical or business or otherwise, from multiple sources. The candidate will work with complex and variable issues with substantial potential impact, weighing various alternatives and balancing potentially conflicting needs Qualification: Bachelor’s degree (in science, computers, information technology or engineering) Candidate should be willing to work late in the evening India time on need basis in order to interact with US/other global teams ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

We are looking for ambitious and analytical minds to join our team as a Data analyst for Consumer spend research. In this role, you will be responsible for analyzing consumer credit card spend in the US and mapping them correctly to create insights and analytical reports. You need to have great attention to detail , have good English language skills for writing and ability to research brands and apply basic SQL skills to filter and classify data. Location : Kolkata, Rajarhat Prior Experience : 0-2 years Total positions Open: 2 Key Skills Required Software literacy - Able to quickly learn the ins and outs of new programs; comfortable with navigating and learning unconventional or unfamiliar UI and expressions Critical eye - Can think outside the box to find avenues of information that may assist in discerning variations in data that are potentially indistinguishable at first glance. Web Veteran – Experience conducting online research; navigating webpages; scouring search engines; digging through unconventional resources, directories, etc. Excellent reader/writer – Can process and produce long and/or complex alphanumerical strings, both abstract and functional, with ease and efficiency Excellent communicator – Can clearly convey how and why certain decisions are made; can take and implement constructive criticism effectively Basic knowledge of Microsoft Office (Excel, Word, and Outlook) Basic experience with SQL and Regular expressions (MANDATORY) Experience with data annotation and other forms of data markup is ideal though not mandatory. Location: In- person in Kolkata New Town - in our Campus - see pics and location at: https://wscoworkingspace.in/ ‍ Profile And Job Parameters Education: Graduate in any discipline - though exposure to market research and data science or data analytics preferred. Timing: Ability to work in the US Eastern time zone. This may be relaxed to half day IST and half day US EST - based on project needs. Must have Aadhar Card, Education Certificates that are verifiable, Past company letters ( if applicable) and criminal background clearance. Preferred though not mandatory: Residence within 1 hr of traveling to Office. Please share LinkedIn profile along with resume and a cover letter on why this Role is ideal for you.

Description Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About The Team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. Basic Qualifications MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations Preferred Qualifications Amazon Fulfillment Center Experience 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 - Amazon Development Centre (India) Private Limited Job ID: A2962759

Description In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to ‘making zero happen’ – zero cost of returns, zero waste, and zero defects – to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth’s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development – all helping to delight our customers through new experiences throughout their Amazon shopping journey. Need candidates in language proficiency in: Spanish, French, German, Italian. Key job responsibilities Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines Maintain high-quality standards for annotated data to optimize model performance Continuously evaluate and improve annotation processes to enhance efficiency and accuracy Strong analytical skills and the ability to deep-dive on complex problems Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills Basic Qualifications Bachelor's degree Speak, write, and read fluently in English Experience with Microsoft Office products and applications 1+ years of proven experience in data annotation and labeling for ML model training and evaluation Preferred Qualifications Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation Understanding of data annotation methodologies and tools Familiarity with Amazon's product and category ecosystem Previous exposure to machine learning concepts and algorithms Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain 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 HYD 13 SEZ Job ID: A3030729

About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital Detailed Job Description : 2 to 3 years of hands-on experience in data annotation. Strong knowledge of 2D and 3D annotation techniques. Preferred experience with LiDAR and ADAS. Excellent attention to detail and organizational skills. Flexibility to work in rotational shifts. Work Location : Ahmedabad Soft Skills: Excellent communication and interpersonal skills. Strong analytical and critical thinking abilities. Ability to work independently and within a team in a fast-paced environment. Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental Leave Learning & Career Development Employee Wellness

Desired Qualifications: 10+ years of industry experience 4+ years experience developing and deploying conversational virtual assistants 4+ years hands-on experience utilizing platforms like Amazon Lex, Google Dialogflow, IBM Watson, Microsoft Bot Framework, Kore.AI, Rasa, or Clinc 2+ years hands-on experience building Gen AI applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures including setting up vector databases and prompt engineering Fluency in writing code in Python, JavaScript, C++ or some other high-level language Experience designing multi-agent collaboration workflows (e.g., planner-executor, tool-selector). Familiarity with agent memory types (episodic, declarative, semantic) and persistent context handling. Experience building observability dashboards and metrics for LLM/agent execution (e.g., prompt logs, traces, outcomes). Ability to translate user and business requirements into high-performing agent behaviors. Passion for emerging trends in Agentic AI, autonomous reasoning, tool augmentation, and GenAI-driven automation. Knowledge and understanding of Artificial Intelligence (AI) disciplines such as Machine Learning or Natural Language Processing Experience with Artificial Intelligence (AI) industry trends and business applications Solid understanding of conversational dialog systems, natural language processing (NLP) fundamentals, and machine learning Familiar with utterances, entities, intents, classification, annotation, business rules and APIs Experience designing, developing and deploying large training data sets Strong understanding on data management and annotation processes Must come financial services/capital markets/investment banking Excellent Analytical skills Great interpersonal and communication skills Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Responsibilities: Design and implement Agentic AI workflows that autonomously orchestrate tasks using tool calling, memory, planning, and execution capabilities. Architect end-to-end Conversational AI solutions integrated with LLMs, using platforms such as Dialogflow, Rasa, Lex, and others Partner with various partners including PM's, PO's UX designers and content strategist to plan, validate and execute the model and implementation of conversational experiences within the virtual assistant Develop and enhance model training and optimization processes with a focus on driving scalability and automation Develop tool schemas, action mappers, and execution logic to enable intelligent decision-making across diverse APIs and data sources. Lead model analysis via testing, misclassification prioritization, root cause assessment Define and implement the "intents" and "entities" that define the conversation interaction, along with the associated business rules, logic and API interactions that are required for sophisticated interactions Responsible for building human language data sets to train machine learning models driving the virtual assistant. Work closely with other members of the product team and technology partners to identify enhancements to the conversational experiences Act as a liaison between our AI Product team and Technology to ensure that our Virtual Assistant delivers intelligent and intuitive conversations, resulting in great customer experience Education Qualification: B.Tech or MCA Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Data Science and Machine Learning - Data Science and Machine Learning - Amazon Machine Learning User Interface - Other User Interfaces - JavaScript Programming Language - Other Programming Language - C++ Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing) Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Beh - Communication and collaboration

Responsibilities Design & Modeling • Produce detailed and conceptual design drawings/models for civil infrastructure projects in Hong Kong, ensuring accuracy and adherence to project specifications. • Collaborate with cross-disciplinary teams to integrate BIM workflows into project lifecycles. BIM Standards & Workflow Management • Develop, implement, and enforce BIM/CAD standards, templates, and best practices across projects. • Maintain and optimize software templates (Revit, Civil3D, etc.) to ensure consistency and efficiency. • Automate repetitive tasks (e.g., annotation, schedule generation) to enhance productivity and reduce errors. • Conduct quality control checks on all deliverables to ensure compliance with company standards and client requirements. Technical Support • Lead BIM implementation on projects, troubleshooting technical issues, and optimizing model performance. • Mentor junior staff through training sessions, knowledge sharing, and onthe-job guidance. • Create customized BIM objects, families, and components to meet specific project needs. Collaboration & Coordination • Follow the BIM Execution Plan (BEP) and coordinate with external teams via the Common Data Environment (CDE). • Ensure seamless integration of BIM workflows with project management tools and collaboration platforms. Key Competencies & Skills Technical Proficiency : Advanced expertise in Revit, Civil3D, AutoCAD, Navisworks, and MicroStation. Experience with CDE platforms (e.g., BIM360, Acc) is essential. Software Fluency : Strong working knowledge of Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) and SharePoint for documentation and collaboration. Communication: Clear, concise English communication skills, with the ability to explain technical concepts to non-technical stakeholders. Problem-Solving : Proactive, solutions-oriented mindset with the ability to manage multiple tasks under tight deadlines. Teamwork : Collaborative spirit with a track record of building strong relationships across disciplines. Adaptability : Open-mindedness to evolving technologies and willingness to share knowledge with the team. Qualifications • Education: Diploma or higher in Civil/Structural Engineering (Bachelors preferred). • Certification: Recognized BIM qualification (e.g., Autodesk Certified Professional, BSI BIM Level 2). • Experience: 5+ years of hands-on BIM experience in civil/infrastructure projects, with at least 2 years in a senior coordination role. • Cultural Fit: A self-motivated, detail-oriented professional who thrives in a fast-paced environment and values continuous learning.

Key Responsibilities: Accurately label and annotate various types of data (images, videos, text, etc.) using company-provided tools. Use editing tools to highlight, trace, or mark specific areas of interest as per project guidelines. Ensure consistency and quality in annotations according to defined standards. Collaborate with quality analysts and project leads to meet daily and weekly targets. Provide suggestions for improving annotation tools and guidelines based on hands-on experience. Eligibility Criteria: Freshers and experienced candidates welcome. Minimum qualification: Graduate in any stream. Basic knowledge or interest in tools like Photoshop, AutoCAD, CorelDRAW , etc., is preferred. Attention to detail and ability to follow instructions closely. Good visual analysis and hand-eye coordination. Willingness to learn new tools and processes.

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces – vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos