1454 Personalization Jobs

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Design, configure, and manage Next-Best-Action strategies, decision flows, engagement policies, and arbitration rules. Develop and maintain customer journeys, treatments, and channels within the CDH framework. Build and optimize adaptive models, predictive models, and AI-based decisioning components to improve engagement and conversion. Collaborate with marketing and business teams to align CDH strategies with customer lifecycle goals. Implement real-time container-based decisioning to enable contextual customer engagement across multiple channels (web, mobile, contact center, etc.). Monitor and tune strategy performance, relevance scores, and engagement metrics to improve outcomes. Configure audiences, eligibility rules, and propositions for targeted personalization. Work with business stakeholders, data scientists, and technical teams to define requirements and align CDH use cases. Integrate Pega CDH with CRM, marketing platforms, data lakes, and external APIs for real-time and batch data flows. Leverage customer profiles, behavior, and intent signals to drive dynamic engagement strategies. Continuously improve decisioning logic and model performance based on business results and A/B testing insights. Stay updated on Pega CDH product updates and roadmap, bringing new features and innovations into play. Ensure solutions follow Pega best practices, guardrails, and governance standards. Requirements To be successful in this role, you should meet the following requirements: 5+ years of hands-on experience exclusively in Pega CDH (Customer Decision Hub). Strong understanding of Next-Best-Action Designer, Customer Profile Designer, Engagement Policies, and Strategy Designer. Proven experience with adaptive and predictive models, real-time containers, and decision strategies. Familiarity with Pega NBAA, Pega Marketing (legacy), and Pega Data Flows. Strong grasp of data models, customer segmentation, and marketing KPIs. Experience in 1:1 customer engagement, cross-channel personalization, and real-time decisioning. Ability to work with SQL, JSON/XML, APIs, and data integration techniques. Familiarity with AI/ML concepts and marketing analytics tools is beneficial Experience in banking, telecom, insurance, or retail domains using Pega CDH is a plus. Certification as Certified system architect and Pega Decisioning Consultant is preferred. Certification as Certified Senior System architect or Lead System Architect is preferred. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSDI

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing… The MarTech team of Product & Marketing Org leverages AI/ML, Pega Customer Decisioning Hub technology, and agile software development to enhance customer and sales representative experiences across engagement systems. As part of the MarTech Pega Decisioning team, responsibilities include designing and implementing Pega-based solutions to optimize customer experience. This role involves collaboration with global teams in the USA and India, including product owners, Pega developers, architects, data scientists, front-end team members, and other stakeholders throughout the project lifecycle. Key duties include developing decisioning and recommendation strategies for personalization and utilizing data science/decisioning science skills to build and continuously optimize Next Best Experience (NBx) logic. Key Responsibilities Include Local Functional/Technical Subject Matter Expert (SME): Develop a deep understanding of Verizon Business, customer-used applications, and call center operations. Partner with US counterparts and the Global Technology Solutions (GTS) team to understand the design and architecture of solutions. Solution Implementation End-to-end analysis, build, optimization & execution of NBx strategies for key customer engagements Stakeholder with business/channel teams to ensure improvements in personalization e.g offer costs, improved sales funnel, increased product attach etc. Collaboration & Communication Work closely with geographically diverse teams in the US and India. Act as the primary point of contact for the India team, providing updates to US counterparts and escalating issues as needed. Present to senior onshore and offshore leaders and stakeholders Continuous Learning Stay current on the latest advancements and best practices in Pega tools and technologies. Share knowledge and insights with the team to foster innovation and technical excellence. What we’re looking for… You take a lot of pride in your work and as a self-starter you enjoy learning new skills and taking on new tasks. While you work well independently, your team orientation and collaborative nature make you an effective Technical leader. No stranger to succeeding in a fast-paced, ever-changing marketing environment, you balance competing priorities with ease. Talking to people comes very naturally to you and as a strong communicator you can effectively explain issues and resolutions to all levels of the organization. You are detail oriented and forward thinking, looking for the future-proof solution. You are great at influencing up, down, and across groups. You’ll Need To Have A Bachelor's degree in Computer Science, Information Technology, or a related field. Six or more years of proven work experience as a data scientist or a marketing technology experience with Pega or similar tools Hands-on expertise using Pega CDH as a Decisioning Strategy (LDA certification strongly preferred) Strong knowledge of relational databases and/Or NoSQL databases. Excellent problem solving skills with attention to detail and a strong sense of ownership. Strong communication skills Even better if you have one or more of the following: Understanding/Experience MarTech Tools - Adobe Analytics/Google Analytics/Marketo 8-10 years experience in Marketing/CX space, preferably B2B Telco If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #VBGDXP Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department , based in Bangkok , oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity Please note -The role will be based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation Work with developers and a variety of business owners to deliver daily results with the best quality Research discover and harness new ideas that can make a difference What You’ll Need To Succeed 4+ years hands-on data science experience Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks Significant proficiency in SQL and languages like Python, PySpark and/or Scala Can lead, work independently as well as play a key role in a team Good communication and interpersonal skills for working in a multicultural work environment It’s Great if You Have PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields Experience in NLP, image processing and/or recommendation systems Hands on experience in data engineering, working with big data framework like Spark/Hadoop Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department , based in Bangkok , oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity Please note -The role will be based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation Work with developers and a variety of business owners to deliver daily results with the best quality Research discover and harness new ideas that can make a difference What You’ll Need To Succeed 4+ years hands-on data science experience Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks Significant proficiency in SQL and languages like Python, PySpark and/or Scala Can lead, work independently as well as play a key role in a team Good communication and interpersonal skills for working in a multicultural work environment It’s Great if You Have PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields Experience in NLP, image processing and/or recommendation systems Hands on experience in data engineering, working with big data framework like Spark/Hadoop Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department , based in Bangkok , oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity Please note -The role will be based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation Work with developers and a variety of business owners to deliver daily results with the best quality Research discover and harness new ideas that can make a difference What You’ll Need To Succeed 4+ years hands-on data science experience Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks Significant proficiency in SQL and languages like Python, PySpark and/or Scala Can lead, work independently as well as play a key role in a team Good communication and interpersonal skills for working in a multicultural work environment It’s Great if You Have PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields Experience in NLP, image processing and/or recommendation systems Hands on experience in data engineering, working with big data framework like Spark/Hadoop Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Digital Content Creator Intern At Noa , we’re building a prognosis-first, inside-out personalized weight management company. Backed by strong in-house R&D and a tech-driven mindset, we’re here to disrupt a market flooded with magic pills, crash diets, and unrealistic solutions. Our belief? Science, personalization, and content that actually connects. Who’s This For Final-year, final-sem students ( NIFT/JIMS/DU ) Done live projects or have your own content handle min. 2–3K+ followers Want to build a real career in digital content marketing — not just an internship Internship duration: 2–4 months with a clear PPO opportunity What You’ll Do Create, script & publish content that sells & sticks — stops the scroll, drives clicks Direct shoots & edits with our in-house team Lead reels, videos, collabs with influencers & creators Work directly with founders (no hierarchy play) who’ve built digital-first category leaders Best Fit Traits Own up & show up — no micromanaging here Love feedback loops — test fast, learn faster Storyteller — the camera is your tool for scale and impact Seek mentorship or coaching, not old-school managers What’s In It For You ₹15K/month stipend + ₹5K performance bonus Direct mentoring from founders to drive business metrics— no layers, real growth Build a solid portfolio with live, high-impact work Top interns get a Pre-Placement Offer — your launchpad into digital

Job Title: Senior Quality Assurance Engineer (UAT) /UAT lead Remote Immediate / Early Joiners Shift - 4pm -1 am Job Description: We are seeking a detail-oriented and technically strong Senior QA Engineer with experience in Adobe Experience Manager (AEM) to join our Quality Engineering team. You will be responsible for end-to-end testing of web applications, AEM components, authoring workflows, third-party integrations, and digital assets. The ideal candidate should have a deep understanding of content-driven platforms, automated and manual testing practices, and a passion for delivering high-quality digital experiences. You will work closely with developers, content authors, UX designers, product managers, and DevOps to ensure all AEM-based features meet performance, accessibility, and business requirements. Key Responsibilities: Define QA test strategies, test plans, and test cases for AEM-based features and workflows. Perform risk-based testing and prioritize test coverage based on business impact. Participate in requirements grooming, identify test scenarios, and flag potential gaps or ambiguities. Test custom AEM components, editable templates, page authoring, asset uploads, and metadata. Validate authoring workflows, content replication (author → publish), and DAM functionalities. Verify front-end and back-end functionality including personalization, search, tagging, and navigation. Test AEM integrations with external systems like APIs, Adobe Analytics, Adobe Target, CRMs, and SSO. Validate WCAG 2.1 accessibility compliance using Axe, Lighthouse, or WAVE. Execute responsive testing across desktop, tablet, and mobile breakpoints. Ensure cross-browser compatibility (Chrome, Firefox, Safari, Edge). Perform extensive regression testing on AEM to ensure software stability and performance. Track bugs in tools like JIRA or Azure DevOps with clear steps and supporting screenshots/videos. Report test coverage, pass/fail trends, and defect leakage to stakeholders. Design and maintain automation test suites for AEM UI testing (e.g., Selenium, Cypress, Playwright). Integrate automated tests with CI/CD pipelines (e.g., Jenkins, Adobe Cloud Manager, GitLab). Validate functionality and user experience across multiple browsers and mobile devices. Identify, document, and track defects and issues, working closely with development teams to resolve them. Utilize automated testing tools and frameworks to enhance testing efficiency. Continuously improve QA processes and methodologies to increase the effectiveness and efficiency of testing efforts. Mentor and guide junior QA team members, sharing best practices and advanced testing techniques. Rigorously test new components and enhancements in Adobe Experience Manager (AEM) before every sprint release Submit detailed Jira tickets for any issues/defects discovered during testing Maintain open communication with the Development team, following up on fixes through Jira to ensure timely resolution Effectively demonstrate issues to engineers, both live and with pre-recorded screen recordings Keep Excel Sheet trackers updated to maintain an organized record of testing activities and findings Have vast knowledge of AEM platform and its capabilities (familiar with AEM Cloud, AEM 6.5, and historical knowledge on AEM Classic) Experience authoring web pages in AEM Test custom AEM components, editable templates, page authoring, asset uploads, and metadata. Workflows. On-Premise & Cloud AEM cloud migration experience is preferred Mandatory Requirements: Proven experience in testing Adobe Experience Manager (AEM) components & editable templates. Extensive experience with regression testing in AEM. Experience in cross-browser and cross-device testing. Proficiency in developing detailed test plans and test cases. Hands-on experience with automated testing tools and frameworks. Excellent communication, problem-solving, stakeholder collaboration, mentoring junior QAs. Ability to work independently and manage multiple tasks and projects simultaneously. Optional Requirements: Experience with performance and load testing. Familiarity with Agile/Scrum development methodologies. Knowledge of version control systems such as Git. Experience with CI/CD tools and practices. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 5 years of experience in software quality assurance. 3+ years of experience specifically in testing AEM components. Demonstrated ability to work in a fast-paced, dynamic environment. Strong understanding of software QA methodologies, tools, and processes.

We are looking for a skilled Salesforce Marketing Cloud (SFMC) Developer to join our team and support marketing automation initiatives for finance domain projects. The ideal candidate will have hands-on experience with SFMC development, including scripting, API integrations, and campaign execution across multiple channels like Email, SMS, and WhatsApp. Key Responsibilities: Develop and optimize marketing campaigns using SFMC modules like Automation Studio, Journey Builder, and Email Studio. Execute SMS and WhatsApp campaigns, ensuring accurate targeting and deliverability. Design and build Cloud Pages (Landing Pages, Microsites, Forms) with AMPscript and SSJS for dynamic personalization. Integrate SFMC with external systems using REST/SOAP APIs for data exchange and automation. Implement and maintain scripts using AMPscript and SSJS for advanced campaign logic and personalization. Collaborate with marketing, CRM, and analytics teams to deliver end-to-end campaign execution. Ensure best practices in coding, security, and data privacy, especially in finance sector contexts. Required Skills & Experience: 6+ years of experience in Salesforce Marketing Cloud development. Proficiency in AMPscript and SSJS scripting for personalization and dynamic content. Working knowledge of APIs (REST/SOAP) for integrations. Experience with Automation Studio, Journey Builder, and Campaign execution (Email/SMS/WhatsApp). Experience in developing Cloud Pages with interactive forms and personalized content. Exposure to campaign reporting and analytics within SFMC. Understanding of marketing processes and compliance needs in the finance industry is a plus.

Candidates for this position are preferred to be based in Bangalore and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair is moving the world so that anyone can live in a home they love – a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You’ll do Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have: Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Design, configure, and manage Next-Best-Action strategies, decision flows, engagement policies, and arbitration rules. Develop and maintain customer journeys, treatments, and channels within the CDH framework. Build and optimize adaptive models, predictive models, and AI-based decisioning components to improve engagement and conversion. Collaborate with marketing and business teams to align CDH strategies with customer lifecycle goals. Implement real-time container-based decisioning to enable contextual customer engagement across multiple channels (web, mobile, contact center, etc.). Monitor and tune strategy performance, relevance scores, and engagement metrics to improve outcomes. Configure audiences, eligibility rules, and propositions for targeted personalization. Work with business stakeholders, data scientists, and technical teams to define requirements and align CDH use cases. Integrate Pega CDH with CRM, marketing platforms, data lakes, and external APIs for real-time and batch data flows. Leverage customer profiles, behavior, and intent signals to drive dynamic engagement strategies. Continuously improve decisioning logic and model performance based on business results and A/B testing insights. Stay updated on Pega CDH product updates and roadmap, bringing new features and innovations into play. Ensure solutions follow Pega best practices, guardrails, and governance standards. Requirements To be successful in this role, you should meet the following requirements: 5+ years of hands-on experience exclusively in Pega CDH (Customer Decision Hub). Strong understanding of Next-Best-Action Designer, Customer Profile Designer, Engagement Policies, and Strategy Designer. Proven experience with adaptive and predictive models, real-time containers, and decision strategies. Familiarity with Pega NBAA, Pega Marketing (legacy), and Pega Data Flows. Strong grasp of data models, customer segmentation, and marketing KPIs. Experience in 1:1 customer engagement, cross-channel personalization, and real-time decisioning. Ability to work with SQL, JSON/XML, APIs, and data integration techniques. Familiarity with AI/ML concepts and marketing analytics tools is beneficial Experience in banking, telecom, insurance, or retail domains using Pega CDH is a plus. Certification as Certified system architect and Pega Decisioning Consultant is preferred. Certification as Certified Senior System architect or Lead System Architect is preferred. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSDI

Job Description For AEM Specific Roles Senior AEM Architect Job Description Develop Digital Consumer experiences based on Adobe marketing cloud products including AEM latest versions (AEM 6.5). Define solution architecture for global customer engagement and global web content management platforms, integrating a full collage of supporting technologies including AEM, Search, Adobe Social, Adobe Analytics, Adobe Communities, Adobe Target, Adobe Campaign Management, Adobe Dynamic Tag Manager and others Develop powerful features such as multi-site and multi-channel delivery, personalization/targeting, content aggregation & syndication, multi-lingual support, automated workflow management, social media etc. Diagnose and solve technical problems related to AEM implementation. Interact with clients to create end-to-end specifications and solution architecture for content & collaboration solutions. Provide inputs and direction to senior developers on the team for design and implementation. Define implementation processes, quality gates and standards for design and development. Define best practices to manage performance, security and scalability of the Digital Platforms Lead teams of 20+ people through all phases of Development. Agile development methodology is a plus Lead and Involve in Planning and estimations of Adobe projects, Lead all tracks of the project from Frontend, backend, QA and Project Management Experience Guidelines Overall experience of 15+ years with 8+ years of AEM with one or more other Adobe marketing cloud products like Dynamic Tag Manager, Target, Analytics, AEM Forms, Communities, Campaign Manager or Livefyre Significant hands-on solution architecture experience with AEM and very strong concepts of Maven, OSGi, Apache Sling, Apache Sightly, Apache Oak and Adobe Dispatcher Has worked on and implemented at least one of the popular Search engines with AEM like Solr, GSA or Lucene. Has done evaluation of AEM and other marketing technology products and recommendation to clients Deep understanding of Generic Java technologies (J2SE 1.7/1.8), Java EE, Servlets, JSP, JSTL and Tag libraries Involved in doing extensive Performance and Security testing for AEM based digital platforms. Understands Load model creation, OWASP top 10 and other related concepts Worked on integrations with popular products /Technologies like Salesforce, SSO, LDAP, API Gateways using Rest and SOAP frameworks like Apache CXF and Jersey Ample knowledge and exposure in Frontend techs to drive client discussions and recommend options based on client needs. Should be able to understand Bootstrap, Backbone.js, React, Handlebars, Grunt, and Angular, CSS3, HTML 5 and jQuery. Strong Physical Architecture concepts (Infrastructure) including but not limited to Load Balancers(ELB), Apache set up, CDN, Disaster Recovery, recommending capacity of AEM publish and author instances. Taking a lead in recommending the solution considering quality properties of the system like Search Engine Optimization (SEO), Accessibility (A, AA, AAA), Monitoring (Squid, Nagios, Zabbix, Ganglia, App Dynamics, New Relic etc.), Scalability, Security, Performance and Responsive architecture Has implemented Quality Processes for projects like Continuous Integration (Bamboo/Jenkins), SonarQube, Code reviews (Manual and Automated), code Formatters, Automation testing etc. Senior Developer Job Description Must be an expert on working with AEM 6.5 code base and technology stack Hands-on developer on Adobe AEM and one or more Adobe marketing cloud products Develop new components, templates, workflows and OSGi modules using JSP as well as HTL with 100% hands-on role Created maven archetype and lazy bones projects. Knowledge of Front end web application design , experience in front end web packs like Adv JS, CSS Based frameworks, Strong JEE experience ,Maven, Apache sling frame work, OSGI, AEM workflows, Node & NPM, REST based services. Design and provide solutions to fit the requirements of the project stakeholders, customers, and end-users conforming to the standards established by the IT organization Create technical design documents that explain system flows, data flows, technical component interaction diagrams Demonstrate best practices in the development of AEM components and pages Accountable for maintaining high levels of solution performance, availability, capacity, and quality Champion code quality, reuse, cover coverage (Junit) and extensibility and best practices Strong leader/mentor with team members Asset Management (DAM) implementation, object model design (Java APIs), implementation, and unit testing. Experience Guidelines Overall experience of 3 to 6 years with 3+ years of strong development experience in Adobe Experience Manager Developed AEM templates, components, Sling servlets and service in at least 4 AEM projects. Developer Job Description Develop new components, templates, workflows and OSGi modules using JSP as well as HTL with 100% hands-on role. Asset Management (DAM) implementation, object model design (Java APIs), implementation, and unit testing. Knowledge of Front end web application design , experience in Adv JS, CSS Based frameworks, Strong JEE experience ,Maven, Apache sling frame work, OSGI, Node & NPM, REST based services. Experience Guidelines Overall experience of 2 to 3 years with 1+ year of strong development experience in Adobe Experience Manager (AEM 6.5) Developed AEM templates and components in at least 2 AEM projects.

Digital Analyst – Web & Experience Analytics Job Summary The Digital Analyst will drive insights into user behavior and site performance across digital landscape. This role supports experience optimization through advanced analytics, journey analysis, and actionable reporting for stakeholders across UX, Product, and Marketing. Key Responsibilities ● Analyze user journeys, funnels, traffic patterns, and engagement metrics to inform experience strategy. ● Develop dashboards and performance reports using tools like Tableau or Power BI. ● Translate complex analytics into clear business insights for cross-functional teams. ● Collaborate with optimization and marketing teams to support A/B testing and personalization analysis. ● Ensure data quality through validation of tagging and analytics setup (via GTM or Adobe Launch). ● Identify user behavior trends to surface actionable UX and content insights. Required Skillset & Experience ● Minimum 7 +years of experience in digital analytics or web data analysis. ● Strong knowledge of GA4, Adobe Analytics, or other enterprise analytics tools. ● Experience with visualization tools such as Tableau, Power BI, or Looker. ● Ability to translate data into clear, actionable insights. ● Good understanding of customer journeys and digital experience KPIs.

Role Description This is a full-time, role for an Event and Studio Operations Manager located in Gurugram. The responsibility includes managing day-to-day operations of the studio & coordinating at events. About the Role This is a dual-function role that balances both studio-based operations and on-ground event operations. Part 1: Studio Management (Pre-Event, Office-Based) • Organize raw materials, bases, labels, and packaging before each event • Maintain packing lists and ensure inventory is accurate • Coordinate with vendors for personalized items and décor needs • Oversee the studio team to prepare all event kits and elements on time Part 2: On-Ground Event Execution • Travel with the team to set up live gifting stations at events • Ensure all displays are beautifully decorated and ready for guest engagement • Communicate with the client and event manager to align on expectations • Oversee live personalization and team coordination during the event • Wrap up post-event, ensuring safe return of materials to the studio Qualifications Operations Management skills to oversee and streamline studio operations Customer Service skills to interact with client at event Planning skills to plan, coordinate, and execute successful gifting station at event Good Communication skills for effective interaction with team members Budgeting skills to manage and track financial aspects of operations Multitasking abilities Bachelor's degree Prior experience in operations

Role Summary: As a Product Manager, you will lead the product vision and strategy for Paramotor’s rewards, loyalty, brand gift card, and spend management platforms. You will own the full product lifecycle—from discovery and definition to roadmap execution and performance optimization—while working cross-functionally with engineering, design, business, and compliance teams. This role requires deep product thinking, strong collaboration skills, and a proven ability to deliver SaaS-driven fintech solutions that scale. Key Responsibilities: Define and own the product roadmap for our SaaS platforms in the rewards, gift cards, expense management and prepaid space. Build user-first, scalable features for our B2B and B2C SaaS offerings. Conduct competitive and market research to identify trends and gaps in digital rewards, loyalty, and prepaid instruments. Translate business and user needs into detailed product requirements, workflows, and specifications. Work closely with engineering, UX/UI, QA, business development, and operations to deliver secure, high-performance products. Manage integrations with third-party systems: card issuers, loyalty providers, aggregators, and payment gateways. Track key SaaS product metrics (adoption, retention, conversion) using tools like Google Analytics, Mixpanel, Amplitude, etc. Ensure product compliance with financial regulations (RBI, PCI-DSS) and SaaS security standards. Own documentation, go-to-market plans, internal training, and stakeholder updates. Desired Profile: Must-Have: Hands-on experience with SaaS-based platforms, especially in digital gift cards, loyalty programs, or prepaid financial products. Proven track record in building and scaling consumer or enterprise SaaS products. Strong understanding of API-led architecture, cloud platforms, and agile product development. Excellent analytical, communication, and cross-functional collaboration skills. 3–7 years managing platforms in HR tech, employee engagement, or loyalty Deep knowledge of UX flows for campaigns, point systems, rewards catalog, analytics dashboards Proven track record launching features like personalization, automated campaigns, white‑labeling Comfort with user research, A/B testing, driving adoption metrics (redemption %, campaign ROI) Good to Have: Experience working with payment processors, card networks, or SaaS loyalty systems. Familiarity with SaaS KPIs like CAC, LTV, churn, and product usage metrics. Knowledge of RBI regulations, KYC/AML, or fintech compliance standards. Tools: JIRA, Confluence, Figma, Postman, Tableau, or SaaS analytics platforms. Qualification: Bachelor’s degree in Engineering, Computer Science, Business, or a related field. MBA or PGDM from a reputed institution is a plus. Job Type: Full-time Pay: ₹50,000.00 - ₹125,000.00 per month Schedule: Day shift Ability to commute/relocate: Andheri, Mumbai, Maharashtra: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Work Location: In person Application Deadline: 10/07/2025

Req ID: 331056 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a ITSS-Oracle Integration Clo to join our team in Bengaluru, Karnātaka (IN-KA), India (IN). The Oracle Cloud Integration Architect will be responsible for acting as a strategic liaison between the business and the implementation process. This includes tasks such as configuring, designing solutions, and providing support. The focus will be on the design, development, and maintenance of Oracle Cloud integrations, data conversions, and reports, with a strong emphasis on integration development. Oracle Cloud OIC/VBCS and SaaS Architect 1. Must have worked on recent time Oracle Cloud (SaaS/PaaS) Implementation/Support Projects. Specifically, Oracle ERP Cloud and Oracle Integration Cloud (both) 2. Mus have hands-on experience who developed OIC Integrations, VBCS extensions and SaaS objects 3. Must have Oracle ERP Cloud knowledge in these functional areas: Projects, Accounting Hub Cloud Service, AR, FA, GL, HCM, AP 4. Nice to have Oracle Cloud Certifications related to OIC/ERP. Requirements :- 5+ years' experience of working as architect 4+ years' experience with Oracle ERP Cloud, Oracle OIC Cloud and Oracle EBS Minimum 3+ years of development experience in Oracle OIC Minimum 3+ years working experience in Oracle ERP Cloud technical mainly in financial modules like (Oracle Projects, GL, AHCS, AR, HCM, FA, AP) with working experience in financials' webservices Good experience in Oracle Fusion Cloud SaaS Implementation and Support projects (Oracle Financials and PPM Cloud) with PaaS extensions Fusion Appstech - Expertise in Data Migration in Oracle Fusion Cloud Applications through FBDI, ADFdi, Spreadsheet, HDL Experience in building reports in Oracle Fusion using OTBI, Oracle BI Publisher, OTBI and Data model's Experience in Oracle Cloud Screen Personalization through Sandbox and Groovy Scripting Strong Oracle Cloud Integration Technical (External Application to Oracle Cloud and Oracle Cloud to External Applications using SOAP/REST Webservices). Good knowledge in Analyzing and Reviewing Functional specifications, Technical documentation, Designed customizations, Develop the interfaces in Financials and SCM Oracle ERP Cloud modules. Raise and work service requests with Oracle Support #LI-INPAS About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the Role At the intersection of AI, data science, and product discovery , we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real. As Manager of Data Science – Knowledge Management , you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics . This is a high-agency, high-impact role embedded in our Product Knowledge organization , where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage. What You’ll Lead & Deliver Optimize Product Knowledge at Scale Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery. Build LLM-Powered Solutions Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence. Design Model Evaluation Frameworks Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems. Turn Data into Strategy Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution. Prototype & Experiment Rapidly Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions. Partner for Production Impact Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems. What You Bring 7+ years of experience in analytics, data science, or ML roles Advanced proficiency in SQL and Python for analytics, automation, and experimentation Familiarity with eCommerce discovery , product classification, and search or recommendation systems Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required) Strong grasp of model evaluation , including metrics design and benchmarking A startup mindset—bias for action, high ownership, and comfort with ambiguity Excellent communicator with the ability to influence cross-functional stakeholders Why You’ll Love It Here Drive real impact at the core of product discovery innovation Work hands-on with cutting-edge AI and data platforms Collaborate with some of the best minds in AI, Product, and Engineering Own high-visibility projects in a startup-like, high-trust culture Build scalable, magical, and relevant product data systems used by millions Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Voyager (94001), India, Bangalore, Karnataka Senior Associate - Fullstack At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since. Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world class products and services impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple –bring ingenuity, simplicity and humanity to an industry ripe for change. DataLabs is looking for a Principal Associate to spearhead our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs. This role involves working with Product Management, Architects and Project Engineering leadership to develop and deploy robust, scalable, secure and well-managed state-of-the-art solutions to achieve the business goals. DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteering by our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives. What You’ll Do: Play the role as a subject matter expert and provide leadership in one or more areas of the project with deep experience in distributed microservices, and full stack systems to create solutions that drive the business goals of the company. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code. Own delivery of end to end software development in design, development, test, release and maintenance. Collaborate with Architects and contribute in design solutioning of products. Ensure adherence to architecture standards, risk management and security standards. Participate in the design discussions and break down requirements into HLD and LLD as applicable solutions on project priorities and requirements. Develop well managed applications implementing best coding practices, testable, efficient code with reusability. Provide support/guidance to the team members on the technical queries. Work with development teams and product managers in prioritizing the requirements and manage development teams to deliver as per committed timelines. Define the stories complexities and effort estimations for every sprint. Ideate on improving the applications using implementation of cutting-edge technologies. Strictly follow scrum practices and adhere to Definition of Done principles defined in the product teams. Basic Qualifications: Bachelor’s Degree in Computer Science or a related field At least 6 years of experience in software engineering At least 3 years experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Strong problem-solving skills. Excellent communication and teamwork with experience in collaborating with onshore team/stakeholders. Experience in building scalable, real time applications using Microservices Architecture Experience in deployment process, building compliance adhered software. Experience in troubleshooting, debugging applications and proactive participation in testing and bug fixes. Ability to build scalable applications working on a continuous delivery environment, writing production ready code. Preferred Qualifications: Master's Degree Knowledge of backend technologies like Java(Preferred), Springboot , Microservices, JSON, Python(Good to have). Knowledge of frontend technologies like Javascript, Node.js, Angular.js. Knowledge of database technologies like Postgres(Preferred), Mysql, PostGres, Sql server. Knowledge on CI/CD tools like Jenkins. Knowledge on Event streaming tools like Kafka platform. Knowledge of Source Code Management systems Git, github. Knowledge in cloud based platforms build and deployments (AWS preferred, GCP,Azure). AWS Certification. At this time, Capital One will not sponsor a new applicant for employment authorization for this position . No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description – Data Scientist Company: Tata Digital Private Limited Tata Digital is a future-ready company focused on building consumer-centric, high-engagement digital products. Our flagship offering, Tata Neu , is a super-app that integrates various consumer services, including groceries, fashion, electronics, travel, financial services, and more, into a seamless experience. As a wholly owned subsidiary of Tata Sons Private Limited , we are committed to driving digital transformation at scale. Role Details Role Title: Data Scientist / Machine Learning Engineer Function: Data Science Location: Bangalore Experience: 3-5 Y About the Role: We are looking for an experienced Data Scientist / Machine Learning Engineer to join our team and help drive innovation in search, recommendation, and ads. You will be responsible for designing, building, and optimizing ML models that enhance user experience and business outcomes at scale. If you have a strong background in developing scalable ML solutions within a product-driven company, we want to hear from you. Key Responsibilities: Develop and optimize ML models for search ranking, recommendations, and ad targeting to improve engagement and monetization. Design, implement, and deploy large-scale ML pipelines in production environments. Experiment with and improve deep learning, NLP, for personalization and relevance. Conduct A/B testing and data-driven evaluations to measure the impact of ML models. Optimize infrastructure and data processing for high-scale real-time and batch ML systems. Stay up to date with advancements in ML, AI, and big data technologies and apply them to business problems. Minimum Qualifications: 3+ years of experience in Data Science / Machine Learning Engineering, with a focus on search, recommendation systems, or advertising. Strong programming skills in Python, Scala, or Java with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn . Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed computing. Proficiency in SQL and NoSQL databases for large-scale data processing. Hands-on experience in deploying ML models in production at scale (MLOps, CI/CD for ML). Strong understanding of ranking models, deep learning, NLP, and reinforcement learning. Preferred Qualifications: Familiarity with vector search, embeddings, and retrieval-based models. Strong problem-solving skills and ability to work in a fast-paced environment Experience with cloud platforms like AWS, GCP, or Azure . If you’re passionate about building intelligent, scalable, and high-impact ML solutions, apply now! Learn more about Tata Digital: Tata Neu Tata Digital Newsroom LinkedIn YouTube

Digital Analyst – Web & Experience Analytics Job Summary The Digital Analyst will drive insights into user behavior and site performance across digital landscape. This role supports experience optimization through advanced analytics, journey analysis, and actionable reporting for stakeholders across UX, Product, and Marketing. Key Responsibilities Analyze user journeys, funnels, traffic patterns, and engagement metrics to inform experience strategy. Develop dashboards and performance reports using tools like Tableau or Power BI. Translate complex analytics into clear business insights for cross-functional teams. Collaborate with optimization and marketing teams to support A/B testing and personalization analysis. Ensure data quality through validation of tagging and analytics setup (via GTM or Adobe Launch). Identify user behavior trends to surface actionable UX and content insights. Required Skillset & Experience Minimum 5 years of experience in digital analytics or web data analysis. Strong knowledge of GA4, Adobe Analytics, or other enterprise analytics tools. Experience with visualization tools such as Tableau, Power BI, or Looker. Ability to translate data into clear, actionable insights. Good understanding of customer journeys and digital experience KPIs. Familiarity with tagging frameworks and GTM/Adobe Launch. Technology Platforms & Tools GA4 Adobe Analytics GTM / Adobe Launch Tableau / Power BI / Looker Studio Hotjar Excel/Sheets

Optimization Specialist Job Summary The Optimization Specialist will lead experimentation and conversion rate optimization efforts across digital properties. This role involves strategic test planning, hands-on execution, and continuous analysis to improve user experience and key business metrics through A/B testing and personalization. Key Responsibilities ● Own the testing roadmap and prioritize experiments aligned with product and marketing goals. ● Design, launch, and analyze A/B, multivariate, and personalization tests to drive performance improvements. ● Partner with cross-functional teams (Product, UX, Marketing, Analytics) to identify optimization opportunities. ● Ensure proper experiment setup, QA, and deployment through tools like Adobe Target or Optimizely. ● Monitor test performance and synthesize findings into actionable recommendations. ● Champion a data-driven culture of continuous testing and learning. Required Skillset & Experience ● Minimum 7 + years of hands-on experience in digital optimization, A/B testing, or CRO. ● Strong analytical mindset with ability to interpret quantitative and qualitative data. ● Deep understanding of UX, user psychology, and experience design principles. ● Excellent collaboration, communication, and stakeholder management skills. ● Proficiency in documentation and reporting of test strategies and outcomes. Technology Platforms & Tools ● Adobe Target ● Optimizely ● GA4 ● Adobe Analytics ● Hotjar / Crazy Egg ● JIRA / Confluence

Job Description: Overview As a SalesForce Marketing Cloud Service Expert Email Builder you will be responsible for designing building and optimizing email marketing campaigns within the SalesForce Marketing Cloud platform This role is ideal for someone who is passionate about crafting engaging and effective email communications has a keen eye for design and possesses a strong understanding of marketing principles Key Responsibilities: Key Responsibilities Collaborate with internal teams and clients to understand campaign objectives and requirements Design and build responsive email s templates utilizing SalesForce Marketing Cloud s drag and drop interface Implement dynamic content and personalization strategies to enhance email engagement and conversion rates Conduct A B testing to optimize email performance and drive continuous improvement Ensure email campaigns are compliant with industry regulations and best practices including CAN SPAM and GDPR Monitor and analyze key performance metrics providing insights and recommendations for future campaigns Stay up to date on industry trends and best practices related to email marketing and SalesForce Marketing Cloud Additional Responsibilities: Qualifications Bachelor s degree in Marketing Communications or related field 2 years of experience working with SalesForce Marketing Cloud specifically focusing on email building Proficiency in HTML and CSS preferred but not required Strong understanding of email marketing principles including segmentation deliverability and engagement metrics Excellent attention to detail and design aesthetics Ability to multitask and prioritize in a fast paced environment Strong communication and collaboration skills Preferred Skills: Digital Business->Email Marketing + Tools

Growexx is looking for smart and passionate Senior Data Scientist , who will help in building great AI Agents for different business needs. Key Responsibilities Design and implement LLM powered video conversation systems to support use cases such as real-time customer service, sales enablement, and personalized product walkthroughs, integrating video streaming systems and leveraging multimodal models for speech. Text, and visual understanding. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketing channels. Conduct comprehensive evaluation of LLMs, including performance benchmarking (accuracy, latency, token usage, cost), prompt effectiveness testing, fine-tuning impact analysis, and safety/bias assessments. Integrate LLM agents with APIs, internal knowledge bases, retrieval systems (RAG architectures), and external tools to enable autonomous or semi-autonomous decision-making. Build a deep understanding of business models, objectives, challenges, and opportunities by working closely with leadership and key stakeholders. Document model methodologies, evaluation frameworks, agent workflows, deployment architectures, and post-activation performance results in a structured and reproducible format. Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and ML technologies to recommend and implement innovative solutions. Key Skills Experience using Python, SciKit, SQL, Jupyter Notebooks, Amazon SageMaker, Github & AWS Bedrock. Experience working with multimodal AI systems for video-based conversation, speech-to-text, text-to-speech, and LLM-driven dialogue orchestration for interactive, real-time user engagement. Proven experience designing, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and generative AI applications. Experience designing and deploying agentic systems using frameworks such as LangChain, AutoGen, CrewAI, and custom function-calling pipelines. Expertise integrating LLM agents with APIs, knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Strong understanding of evaluation metrics for LLMs, including prompt testing, token optimization, bias/safety analysis, latency, and cost benchmarks. Expertise in designing and executing A/B, multivariate, and lift tests to measure activated ML/LLM model performance across digital and offline channels. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 5 + years as a Data Scientist or similar roles. Analytical and Personal skills Must have good logical reasoning and analytical skills. Good Communication skills in English – both written and verbal. Demonstrate Ownership and Accountability of their work. Attention to details.

Role: Lead Software Engineer Key Skill: Sitecore development, Helix Architecture, ASP.net, RestAPI Experience Minimum 5 years of development and design experience in Sitecore Should be a certified Sitecore Developer Should have good experience of defining and creating templates and pages Experience on custom rules and personalization Technical Skills Should have development and design experience in ASP.NET, C#, MVC, SQL Good knowledge on Helix architecture and Sitecore development Should be expert on customization in Sitecore Should have experience on customization of Sitecore content API exposed to other applications Should have strong skills on creating Sitecore websites Experience on deployment and support on Sitecore scaled environment

About The Role The UberEats Shopping team drives critical growth for both online food delivery and grocery and retailer business. The Shopping science team work is diverse: model and algorithm design, product analytics and statistical modeling that generate insights to inform strategy. We build personalization Deals and collections products to help consumers discover what they want to order from both restaurants and grocery and retailer stores, encourage exploration and delight them with innovative relevant selections. What the Candidate Will Do ---- Analytics of product and users to generate insights Build Personalization products: eg, Content creation and evaluation User behavior understanding, eg: pricing and affordability elasticity. Offers and Promo products creation Long term value optimization XP design, setup, analysis and deep dives Basic Qualifications ---- 2-4 years of experience working in Economic space, building pricing, deals or promos product Expert in data analysis via SQL & Python foundation Clearly defined hypotheses and structures Experiment Analysis. Analytical rigor in approaching product problems. Preferred Qualifications 4+ years of experience with ranking and recommender system, building personalization product Able to frame an ambiguous product space systematically. Strong product sense. Can help make data driven decisions.

Profile - Marketo Lead Exp-3 Location- Noida Notice Period- Immediate to 15 Days ESSENTIAL SKILLS Hands-on experience with Marketo campaign execution and other marketing automation platforms. Strong understanding of digital marketing strategies, automation workflows, and multi-channel engagement. Knowledge and hands-on experience with programming and scripting languages, web services, and web development. Ability to troubleshoot and resolve technical issues related to platform integrations, campaign execution, and data flows. Strong analytical mindset with a focus on measuring, testing, and optimizing marketing programs. Excellent communication skills to collaborate with both technical and non-technical stakeholders. DESIRABLE SKILLS Experience working with CRM systems (Marketo preferred) and marketing analytics tools. Familiarity with A/B testing, lead scoring models, and personalization strategies. Understanding of data privacy regulations (GDPR, CCPA) and compliance requirements. REQUIRED EXPERIENCE 2+ years of experience in marketing automation, digital marketing, or related fields. Proven experience managing end-to-end campaign execution, from design to deployment. 3+ years of experience years of hands on coding emails (HTML/CSS) Background API integrations and automation scripting, is a plus. Experience working in a fast-paced environment, meeting deadlines, and driving continuous improvements in marketing performance. Check the JD and share your CV on yogendra.joshi@vservit.com