5659 Experimentation Jobs - Page 46

Role Overview: As an AI Video Prompt Engineer, you will be responsible for designing high-quality, detailed prompts for AI video generation tools such as VEO 3 by Gemini, Sora by OpenAI, Runway, Pika, Synthesia, or similar platforms. You will bridge the gap between creativity and technology, transforming marketing concepts into captivating, AI-generated videos. This is not a traditional creative role as it's for someone who enjoys thinking in prompts, tinkering with AI models, and helping shape ideas into prototypes, campaigns, or usable outputs. Key Responsibilities: Develop, test, and refine prompts to generate videos using leading AI video generation tools. Translate brand messaging, scripts, and visual styles into effective AI prompts that deliver high-quality outputs. Collaborate with creative, strategy, and tech teams to produce AI-generated content for ads, explainers, and social media. Maintain consistency in visual style, tone, and brand alignment across different video outputs. Experiment with and document prompt patterns, workflows, and best practices to improve output quality and efficiency. Stay updated on the latest in generative AI, video production trends, and creative technologies. You Should Be: Experience with AI video tools like VEO 3, Runway ML, Pika, Synthesia, Sora, etc. Strong creative writing and visual storytelling skills. Familiarity with prompt engineering or experience working with generative AI (text/image/video). Basic knowledge of video editing, storyboarding, or animation is a plus. Ability to think abstractly and articulate visual ideas clearly in text-based prompts. Strong attention to detail and a passion for experimentation and iteration. Background in content creation, multimedia production, creative tech, or marketing preferred. Good to have: Familiarity with other generative AI tools (Midjourney, ChatGPT, D-ID, etc.). Understanding of brand and visual identity in digital content. A portfolio of AI-generated or creative video content What You'll Learn: Prompt engineering as a design and problem-solving craft How to evaluate and work with bleeding-edge generative AI tools How AI is shaping the future of storytelling, content, marketing, and product design How to think like a bridge between creative, tech, and strategy teams To apply, please send: A short note on why AI excites you Examples of anything you've made with AI (screenshots, links, prompts) Resume and portfolio

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore.Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements Analytics Consultant Experience- 3-6 Years We are seeking a highly skilled and results-driven Analytics Consultant to join our team. In this role, you will be responsible for identifying,tracking, and analyzing key operational and usage metrics related to our chatbot systems. Your insights will be pivotal in optimizing chatbot performance, improving user engagement, and contributing to strategic decision-making. Key Responsibilities Metric Identification & Definition : Collaborate with product and operations teams to identify critical chatbot performance metrics, both operational (e.g., response time, accuracy, escalation rates) and usage-related (e.g., user interactions, retention, satisfaction). Data Collection & Analysis : Develop and implement strategies to collect data on chatbot usage and operational performance, ensuring data integrity and accuracy. Reporting & Dashboards : Design and maintain interactive dashboards and reports for internal stakeholders to monitor chatbot performance. Provide actionable insights through data visualization tools such as Tableau, Power BI, or similar. Trend Analysis & Optimization : Analyze chatbot usage patterns, identify trends, and recommend improvements to enhance user experience and operational efficiency. A/B Testing : Support or lead A/B testing initiatives to assess the impact of changes to chatbot features and functionality. Cross-Functional Collaboration : Work closely with product managers, engineers, and UX/UI teams to ensure that insights from analytics are incorporated into ongoing chatbot development and optimization efforts. Performance Monitoring : Continuously monitor chatbot performance to identify opportunities for improvement and ensure that metrics align with business goals. Present Findings : Regularly present findings and recommendations to senior management and other stakeholders in a clear, actionable format. Qualifications Bachelor's or Master’s degree in Data Analytics, Business Intelligence, Statistics, Computer Science, or a related field. Proven experience in an analytics role Strong proficiency in data analysis tools and languages such as SQL, Python, R, or similar. Experience with business intelligence tools (e.g., Tableau, Power BI, Google Data Studio) for data visualization and reporting. Strong analytical thinking with a deep understanding of KPIs and the ability to translate data into actionable insights. Excellent communication skills, both verbal and written, with the ability to present complex data in an easily understandable manner. Detail-oriented with the ability to manage multiple projects and deadlines in a fast-paced environment. Preferred Skills Experience with A/B testing and experimentation frameworks. Experience with chatbot data analytics or natural language processing (NLP) systems. Benefits Why Join Us? Innovative Environment : Work on cutting-edge AI-driven projects and make a tangible impact on the evolution of chatbot technology. Growth Opportunities : We offer career development opportunities in a growing field with exposure to various business units. Collaborative Team : Join a dynamic, cross-functional team that values creative problem-solving and data-driven decision-making. Competitive Compensation : We offer a competitive salary and benefits package, along with flexible work arrangements.

Company Description Carousell Group is the leading recommerce group in Greater Southeast Asia on a mission to inspire the world to start selling, and to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in eight markets under the brands Carousell, Cho Tot, Laku6, Mudah.my, OneKyat, Ox Street, and Refash, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments and Sequoia Capital India. As a team of passionate individuals working together to solve meaningful problems, there is so much more for you to discover in a career with Carousell. Our culture is made up of hiring, developing, and promoting people who embody our values of solving problems for our users; having a mission-first mindset; being relentlessly resourceful; caring deeply; and staying humble to constantly improve. Together as an organisation, we make magic happen. Job Description We’re looking for a data analyst intern to join the Data team in Carousell and work with our team on a surfeit of data related projects in Carousell which may include but are not limited to ETL automation (Extract, Transform or Load), A/B testing, and generating product & business insights with data analysis. This role will report into the Senior Data Analysts. Responsibilities: You will be attached to one of the domains in the Data Team, and will own at least 1 major area of responsibility throughout your 6 months of internships. There will also be the ability to rotate between different areas of learning should the opportunity arise. The scope of data projects or tasks you may be involved in include but are not limited to: Data ETL design and automation to generate business performance metrics and reports AB testing and experiment design for our product features Participate in data analysis projects (either descriptive or predictive) to generate key product or business insights Communication and presentation of key insights to business or product stakeholders to aid decision-making Qualifications Good SQL and Python knowledge is preferred - you should possess at least basic core skills in querying and processing data Good stats knowledge is preferred - understanding of basic statistical concepts like P-value or T-tests will help aid experimentation and testing Sensitive to data integrity and understand the importance of data quality to generate accurate analysis Good communication skills to understand business requirements and communicate with / present to business stakeholders where needed A positive, can do attitude - resourceful to drive your own learning while at the same time able to proactively reach out for mentorship and guidance which is availed to you Additional Information By proceeding with your application , you are adhering to our PDPA policies. In case you are interested to know more, read about our Candidates Personal Data Privacy Statement.

interface.ai is the industry's-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company's integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI. Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth. interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation. Role – SDE IV (Full Stack) Location: India (Remote) Function: Engineering – Product Engineering Level: Senior Reports to: Engineering Manager – Product Engineering About The Role We’re looking for a Full Stack Engineer with frontend experience to join the team that helps users navigate financial services through seamless chat and digital experiences. You’ll be responsible for building responsive, user-centric interfaces that make advanced AI capabilities intuitive and accessible. This role requires strong full-stack expertise, a keen eye for interaction design, and the ability to develop frontend, backend, and AI systems that power natural, personalized, and context-aware conversations. As a key contributor, you will play a central role in crafting experiences that blend intelligence, automation, and trust—powering millions of interactions across banks, credit unions, and their customers. What You’ll Do Build and maintain modern, performant web interfaces using React (or equivalent), delivering high-quality experiences across desktop and mobile You will build the backend APIs (Node.js), orchestration layers, and real-time messaging systems Collaborate closely with designers and product managers to turn wireframes and prototypes into elegant, production-ready experiences Design and implement frontend patterns, design systems, and reusable UI components that scale across use cases Handle session management, personalization logic, and dynamic content rendering to support intelligent agent behavior Optimize for accessibility, localization, responsiveness, and performance across browsers and devices What You’ll Bring 7+ years of professional experience in frontend or full-stack engineering Advanced proficiency with JavaScript/TypeScript and modern frameworks (React, Vue, etc.) Deep understanding of HTML, CSS, accessibility (a11y), and responsive design principles Experience in building backend systems working with real-time data and WebSocket-style protocols Strong product sensibility and empathy for UX, edge cases, and error states in interactive flows Bonus Points Experience with design systems, UI performance optimization, or complex state management (e.g., Redux, Zustand, XState) Exposure to conversational UIs, AI interfaces, or chat-based products Familiarity with analytics instrumentation, experimentation frameworks, or usage tracking Prior work in B2B SaaS, fintech, or regulated environments Why Join Us? Help design the next generation of AI-first interfaces, powering real-time assistance in financial services Own experiences that shape trust, usability, and adoption of intelligent agents across diverse user bases Join a product-first, fast-growing AI company where engineering craft meets design rigor and user empathy Work with a highly collaborative team of engineers, designers, and AI researchers solving real-world interaction problems at scale At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

PwC AC is hiring for Data scientist Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Data scientist Years of Experienc e: 3-7 years Shift Timin gs: 11AM-8PM Qualificati on: Graduate and above(Full time) About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 3 to 7 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description – Senior Director, Product Operations, Product & Design Team, WNS Next Role As the Senior Director, Product Operations you will be the operational backbone of our product and design organization. You will drive cross-functional alignment, optimize product development processes and ensure that our products are delivered efficiently, ethically and at scale. You will work closely with cross-functional teams, including Product, Engineering, AI Research, and Go-To-Market teams, to streamline processes, optimize product launches, and drive continuous improvement. Reporting into the Chief Product and Design Officer you will ensure the teams involved in product development operate cohesively and efficiently, to drive the successful development and deployment of products. This role is essential for maintaining the alignment and momentum needed to achieve the product objectives. Responsibilities Operational Frameworks: Design and implement scalable product development operational frameworks across the product development lifecycle, from ideation, discovery and insights to planning and launches. Contribute to product roadmap creation to align development strategy and timelines. Cross-Functional Collaboration: Foster strong partnerships across Product, Engineering, Go-to-Market, and Support teams to align goals, and streamline communication. Drive adoption of best practices in development, experimentation, and product delivery. Release Management: Oversees releases, support GTM activities including ensuring relevant product materials are created and distributed to the right teams. Tooling & Infrastructure: Evaluate and implement tools for product road mapping, user feedback, experimentation, and analytics. Optimize internal systems for documentation, knowledge sharing, and decision tracking. Team Leadership: Build and lead a high-performing product operations team. Mentor junior team members and foster a culture of continuous improvement and operational excellence. Insights: Build and maintain systems for capturing product insights including customer feedback, competitive product insights, and industry trends. Leverage data visualization tools to monitor product metrics, understand customer feedback trends, and support product optimization. Product Planning: Develop and optimize planning processes and prioritization frameworks. Manage the ideas portal for the product and design team at WNS. Product Operations Strategy: Oversees the operational aspects of product and design team including resource planning, budgeting, and product performance tracking. Talent Development & Career Growth : Work with HR, learning & development team to influence and evolve career frameworks in alignment with organization goals and talent aspirations Skills & Experience: Have 12+ years of product operations and product management experience, preferably in a tech company. Proven track record of scaling product operations in a fast-paced, high growth environment. Deep understanding of AI/ ML product development cycles and associated challenges. Experience in designing and setting up product operations models that increase collaboration, foster innovation and speed to market. Excellent communication, facilitation and stakeholder management skills. With the ability to influence others without direct authority. Excellent relationship management skills. Experience with agile methodologies and product management tools (e.g., Jira, Confluence, Productboard, Ah-Ha etc). Problem solving mindset, with the ability to shape and steer organizational effectiveness and help cross-functional teams execute. Have proven experience working in a technical environment with cross-functional teams. Previous experience working on AI products and curiosity about the rapidly evolving AI landscape Strong analytical skills with experience in data-driven decision making MBA or bachelor’s degree in computer science, engineering, or a related field WNS

Overview As a member of the Platform engineering team, you will be the key techno functional expert leading and overseeing PepsiCo's Platforms & operations and drive a strong vision for how Platforms engineering can proactively create a positive impact on the business. You'll be an empowered Leader of a team of Platform engineers who build Platform products for platform optimization and cost optimization and build tools for Platform ops and Data Ops on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As Leader of the Platform engineering team, you will help in managing platform Governance team that builds frameworks to guardrail the platforms of very large and complex data applications in public cloud environments and directly impact the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Responsibilities Active contributor to cost optimization of platforms and services. Manage and scale Azure Data Platforms to support new product launches and drive Platform Stability and Observability across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for Data Platforms for cost and performance. Responsible for implementing best practices around systems integration, security, performance and Platform management. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Develop and optimize procedures to “production Alize” data science models. Define and manage SLAs for Platforms and processes running in production. Support large-scale experimentation done by data scientists. Prototype new approaches and build solutions at scale. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Qualifications 10+ years of overall technology experience that includes at least 4+ years of hands-on software development, Program management, and Advanced Analytics. 4+ years of experience with Power BI, Tableau, Data Warehousing, and Data Analytics tools. 4+ years of experience in Platform optimization and performance tuning Experience in managing multiple teams and coordinating with different stakeholders to implement the vision of the team. Fluent with Azure cloud services. Azure Certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modeling, data warehousing, and building Symantec Models. Proficient in DAX queries, Copilot and AI Skills Experience building/operating highly available, distributed systems of data Visualization . Experience with at least one MPP database technology such as Redshift, Synapse or Snowflake. Experience with version control systems like Github and deployment & CI tools. Knowledge of Azure Data Factory, Azure Databricks. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus Understanding of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with Augmented Analytics tools is Plus (such as ThoughtSpot, Tellius).

Overview As a Visualization Platform Architect, you will be a key techno-functional expert leading and overseeing PepsiCo's data visualization platforms and operations. You will drive a strong vision for how visualization platforms can proactively create a positive impact on the business. You'll be an empowered leader of a team of visualization engineers who build platform products for visualization optimization, cost efficiency, and tools for BI operations on the PepsiCo Data Lake. You will enable analytics, business intelligence, and data exploration efforts across the company. As the leader of the visualization platform team, you will help in managing governance frameworks to ensure best practices in visualization platforms for large and complex data applications in public cloud environments. You will work closely with process owners, product owners, and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Responsibilities Active contributor to cost optimization of visualization platforms and services. Manage and scale Azure-based visualization platforms to support new product launches and ensure platform stability and observability across BI products. Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for visualization platforms for cost and performance. Implement best practices for system integration, security, performance tuning, and platform management in BI tools. Empower the business by creating value through the increased adoption of data visualization and business intelligence landscapes. Collaborate with internal clients (data science and product teams) to drive solutioning and proof-of-concept (PoC) discussions. Advance the architectural maturity of visualization platforms by engaging with enterprise architects and strategic internal and external partners. Define and manage SLAs for visualization platforms and processes running in production. Support large-scale experimentation in data visualization and dashboarding. Prototype new approaches and build scalable visualization solutions. Research and implement state-of-the-art methodologies in data visualization. Document learnings, best practices, and knowledge transfer strategies. Create and audit reusable templates, dashboards, and libraries for BI tools. Qualifications 12+ years of overall technology experience, including at least 4+ years of hands-on experience in visualization platform architecture, program management, and advanced analytics. 6+ years of experience with data visualization tools such as Power BI, Tableau, and Looker. Strong expertise in visualization platform optimization and performance tuning. Experience in managing multiple teams and collaborating with different stakeholders to implement the team's vision. Fluent with Azure cloud services. Azure Certification is a plus. Experience integrating multi-cloud services with on-premises visualization platforms. Expertise in data modeling , data warehousing, and building BI semantic models. Proficient in DAX queries, Copilot, and AI-powered visualization tools. Experience building and managing highly available, distributed BI platforms. Hands-on experience with version control systems (GitHub) and deployment & CI/CD tools. Knowledge of Azure Data Factory, Azure Synapse, and Azure Databricks. Experience with statistical and ML-driven visualization techniques is a plus. Experience with visualization solutions in retail or supply chain is advantageous. Understanding of metadata management, data lineage, and BI governance frameworks. Working knowledge of agile methodologies, including DevOps and DataOps concepts. Familiarity with augmented analytics tools (e.g., ThoughtSpot, Tellius) is a plus.

Role Description Role Proficiency: Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects. Outcomes Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP) Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards Design information structure work-and dataflow navigation. Define backup recovery and security specifications Enforce and maintain naming standards and data dictionary for data models Provide or guide team to perform estimates Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML) Measures Of Outcomes Percentage of billable time spent in a year for developing and implementing data transformation or data storage Number of best practices documented in any new tool and technology emerging in the market Number of associates trained on the data service practice Outputs Expected Strategy & Planning: Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality completeness redundancy and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations regulatory bodies operators and scientific research communities or attend conferences with respect to data in cloud Operational Management Help Architects to establish governance stewardship and frameworks for managing data across the organization Provide support in implementing the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration compatibility and multi-platform integration Project Control And Review Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development Publish and maintain a repository of solutions best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery) Requirement Gathering And Analysis Work with customer business owners and other teams to collect analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs People Management Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them Alliance Management Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program Technology Consulting In collaboration with Architects II and III analyze the application and technology landscapers process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program Innovation And Thought Leadership Participate in internal and external forums (seminars paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices Project Management Support Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies Stakeholder Management Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels New Service Design Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place Strong proficiencies in understanding data workflows and dataflow Attention to details High analytical capabilities Knowledge Examples Data visualization Data migration RDMSs (relational database management systems SQL Hadoop technologies like MapReduce Hive and Pig. Programming languages especially Python and Java Operating systems like UNIX and MS Windows. Backup/archival software. Additional Comments AI Architect Role Summary: Hands-on AI Architect with strong expertise in Deep Learning, Generative AI, and real-world AI/ML systems. The role involves leading the architecture, development, and deployment of AI agent-based solutions, supporting initiatives such as intelligent automation, anomaly detection, and GenAI-powered assistants across enterprise operations and engineering. This is a hands-on role ideal for someone who thrives in fast-paced environments, is passionate about AI innovations, and can adapt across multiple opportunities based on business priorities. Key Responsibilities: Design and architect AI-based solutions including multi-agent GenAI systems using LLMs and RAG pipelines. Build POCs, prototypes, and production-grade AI components for operations, support automation, and intelligent assistants. Lead end-to-end development of AI agents for use cases such as triage, RCA automation, and predictive analytics. Leverage GenAI (LLMs) and Time Series models to drive intelligent observability and performance management. Work closely with product, engineering, and operations teams to align solutions with domain and customer needs. Own model lifecycle from experimentation to deployment using modern MLOps and LLMOps practices. Ensure scalable, secure, and cost-efficient implementation across AWS and Azure cloud environments. Key Skills & Technology Areas: AI/ML Expertise: 8+ years in AI/ML, with hands-on experience in deep learning, model deployment, and GenAI. LLMs & Frameworks: GPT-3+, Claude, LLAMA3, LangChain, LangGraph, Transformers (BERT, T5), RAG pipelines, LLMOps. Programming: Python (advanced), Keras, PyTorch, Pandas, FastAPI, Celery (for agent orchestration), Redis. Modeling & Analytics: Time Series Forecasting, Predictive Modeling, Synthetic Data Generation. Data & Storage: ChromaDB, Pinecone, FAISS, DynamoDB, PostgreSQL, Azure Synapse, Azure Data Factory. Cloud & Tools: o AWS (Bedrock, SageMaker, Lambda), o Azure (Azure ML, Azure Databricks, Synapse), o GCP (Vertex AI – optional) Observability Integration: Splunk, ELK Stack, Prometheus. DevOps/MLOps: Docker, GitHub Actions, Kubernetes, CI/CD pipelines, model monitoring & versioning. Architectural Patterns: Microservices, Event-Driven Architecture, Multi-Agent Systems, API-first Design. Other Requirements: Proven ability to work independently and collaboratively in agile, innovation-driven teams. Strong problem-solving mindset and product-oriented thinking. Excellent communication and technical storytelling skills. Flexibility to work across multiple opportunities based on business priorities. Experience in Telecom, E- Commerce, or Enterprise IT Operations is a plus. ________________________________________ ________________________________________ ________________________________________ Skills python,pandas,AIML,GENAI

Position: Mid-Level Motion Graphics Designer Location: Pune - On-site Company: Nypunya Studios LLP About Us Nypunya Studios is a creative powerhouse specializing in bold motion design and visually-driven storytelling. We bring ideas to life through animation, design, and a collaborative spirit that celebrates originality. If you live and breathe motion graphics, we’d love to meet you. The Role We’re on the hunt for a Mid-Level Motion Graphics Designer with 1–3 years of experience to join our growing team. You’ll work across a wide range of projects—from high-impact promos and ads to animated explainers, training videos and brand content. You’ll collaborate with senior designers and creative leads while getting hands-on with real-world client briefs. What You'll Do Design and animate 2D motion graphics, typography, and illustrations Collaborate on storyboarding, style frames, and visual development Work in Adobe After Effects, Premiere Pro, Illustrator, and Photoshop Translate creative briefs into visually engaging animations Stay current on animation trends, techniques, and industry standards Maintain visual quality across multiple projects and timelines What We’re Looking For 1–3 years of hands-on experience in motion design Degree/Diploma in Design, Animation, Multimedia, or related field Strong grasp of animation principles and timing. A keen eye for design, composition, and visual rhythm A proactive team player who’s open to feedback and collaboration Bonus: Experience with 3D, Character animation basics. Why Join Us Work on real, high-quality projects that build your portfolio Get mentorship from senior creatives who care about your growth Be part of a studio that values experimentation and fresh ideas Collaborative culture + creative freedom + competitive compensation How to Apply Send us your resume and a single link to your portfolio/showreel at: hello@nypunyastudios.com./ seema@nypunyastudios.com Please send only one showreel link which is a compilation of the best of your work. Job Type: Full-time Benefits: Paid sick time Schedule: Day shift Ability to commute/relocate: Baner, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Notice period? If Working Experience: Motion graphics: 1 year (Required) Work Location: In person

Job Description/Requirements ABOUT THE COMPANY The World Agroforestry Centre (ICRAF) is a CGIAR Consortium Research Centre that aims at rural transformation throughout the tropics as smallholder households increase their use of trees in agricultural landscapes to improve their food security, nutrition security, income, health, shelter, social cohesion, energy resources and environmental sustainability. Job Summary RequirementsPhD in Genetics and Plant BreedingAt least 2 years of postdoctoral experience in Pigeonpea breeding.Knowledge of pulse crop and breeding strategies will be an added advantage.Sound knowledge of developing breeding experiments and generation advancement techniques through speed breeding in Pigeonpea.Experience in Field experimentation (Field layout, field book), data analysis and interpretation (GENSTAT, R and SAAS).Excellent communication and writing skillsProficiency in computers skills MS-officeTeam management and crisis-handling skills. Responsibilities Handle field breeding activities including population development and hybrid parents breeding in Pigeonpea suitable for Eastern and Southern Africa.Summarize, and interpret the data of the experiments; Prepare reports for donors Publish research papers in the reputed journalsEstablish seed stocks and seed productions for multi locational trials and breeding nurseries.Support in developing new proposals, project management.Assist the Pigeonpea breeding program activities in Eastern & Southern Africa. Required Skills Project management, Research planning, Data analysis Required Education Post-graduate education

At BrandTalk, we shape stories that resonate. From social-first content to full-blown branding, our visual designers are the architects behind how a brand looks, feels, and connects with its audience. Position Overview: We’re looking for a hands-on, visionary Design Manager to own and drive the design and creative direction across branding, social media, and digital campaigns. You’ll be responsible for shaping brand identity, leading campaign thinking, and mentoring a talented creative team. If you love transforming ideas into thumb-stopping visuals and building standout brand voices — this one's for you. What You’ll Be Doing: ● Lead branding and identity design for client brands from concept to execution. ● Build and execute creative strategy for social media campaigns aligned with client goals. ● Define and guide the visual and content direction — across static, video, reels, GIFs, and interactive formats. ● Act as the creative POC for clients — present ideas, gather feedback, and translate it into refined outputs. ● Collaborate with strategy, social media, and video teams to ensure cohesive brand storytelling. ● Mentor and manage a team of designers — encouraging experimentation, timely delivery, and quality output. ● Ensure brand consistency across all client content and creatives. ● Stay ahead of trends, platform changes, and creative best practices to keep work fresh and competitive. ● Partner with the Senior Director to review creative performance and iterate based on feedback and analytics. ● Oversee project timelines and resource allocation across multiple campaigns and accounts. You Should Have: ● 5+ years of experience in a design or creative role, preferably in an agency setup. ● A strong portfolio with branding, social media campaigns, video assets, and other digital content. ● Proficiency in tools like Adobe Creative Suite, Figma, After Effects, or other relevant motion tools. ● Solid understanding of digital-first storytelling, layout, typography, and visual hierarchy. ● Experience in leading creative teams and client communication. ● The ability to balance creativity with structure, and inspire the team to deliver standout work. Bonus if You: ● Have experience with motion graphics or creative direction for video. ● Are comfortable presenting to clients and defending creative thinking. ● Love branding and building visual identities from scratch.

Location: Bengaluru (Hybrid) Role Summary We’re seeking a skilled Data Scientist with deep expertise in recommender systems to design and deploy scalable personalization solutions. This role blends research, experimentation, and production-level implementation, with a focus on content-based and multi-modal recommendations using deep learning and cloud-native tools. Responsibilities Research, prototype, and implement recommendation models: two-tower, multi-tower, cross-encoder architectures Utilize text/image embeddings (CLIP, ViT, BERT) for content-based retrieval and matching Conduct semantic similarity analysis and deploy vector-based retrieval systems (FAISS, Qdrant, ScaNN) Perform large-scale data prep and feature engineering with Spark/PySpark and Dataproc Build ML pipelines using Vertex AI, Kubeflow, and orchestration on GKE Evaluate models using recommender metrics (nDCG, Recall@K, HitRate, MAP) and offline frameworks Drive model performance through A/B testing and real-time serving via Cloud Run or Vertex AI Address cold-start challenges with metadata and multi-modal input Collaborate with engineering for CI/CD, monitoring, and embedding lifecycle management Stay current with trends in LLM-powered ranking, hybrid retrieval, and personalization Required Skills Python proficiency with pandas, polars, numpy, scikit-learn, TensorFlow, PyTorch, transformers Hands-on experience with deep learning frameworks for recommender systems Solid grounding in embedding retrieval strategies and approximate nearest neighbor search GCP-native workflows: Vertex AI, Dataproc, Dataflow, Pub/Sub, Cloud Functions, Cloud Run Strong foundation in semantic search, user modeling, and personalization techniques Familiarity with MLOps best practices—CI/CD, infrastructure automation, monitoring Experience deploying models in production using containerized environments and Kubernetes Nice to Have Ranking models knowledge: DLRM, XGBoost, LightGBM Multi-modal retrieval experience (text + image + tabular features) Exposure to LLM-powered personalization or hybrid recommendation systems Understanding of real-time model updates and streaming ingestion

Minimum qualifications: Bachelor's degree in Computer Science or related technical field, or equivalent practical experience. 8 years of experience in Technical Program Management. Experience with Machine learning and Generative Artificial Intelligence or Large Language Models. Preferred qualifications: Ability to work with technical engineering teams across multiple organizations. Ability to think, execute, communicate and influence at multiple levels, including executive leadership, managers, engineers and geographically dispersed stakeholders to develop relationships and drive effective execution. Ability to learn new technologies. About The Job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. In this role, you will work on the AI Answers feature of Google Search. You will be working with teams of engineers and product managers, and delivering on a roadmap aimed at revolutionizing the Google Search experience with the latest GenAI model capabilities. As a Technical Program Manager, your responsibilities will include managing multiple AI projects undertaken by the engineers. You will identify risks, resolve roadblocks, and enhance the team's development velocity. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Responsibilities Define, scope, and manage the AI projects and ensure timely delivery and adherence to scope. Build detailed project plans, track progress , manage risks and implement mitigation strategies. Collaborate with other teams which work on AI projects, ensuring synergy through coordinated timelines, dependencies, and deliverables. Identify and resolve blockers and escalate issues when necessary. Communicate project status and updates to stakeholders regularly. Facilitate meetings and reviews to drive decision-making and alignment. Introduce standard procedures for reproducibility, data/model versioning, experimentation tracking, and agile methodology in the AI space. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Job description Job Title: Junior Marketing Specialist Location: Chennai, TN - Onsite Job Salary Range: 2.5 to 3.5 LPA Experience: 0-1 year Job Type: Full Time No of Positions: 1 ABOUT US DHPL: Global leader in manufacturing human hair extensions and award-winning exporter to USA and UK; DHPL leads the hair industry market in quality goods that are celebrated in hair salons, Hollywood studios, and opera and theater stages. We believe in growth and science by learning and applying advanced business techniques and R&D applications. IT Department: We are a data-driven and process-oriented organization that values curiosity, experimentation, and continuous learning. Our efforts are backed by analytics and strategic insights, ensuring that we drive meaningful engagement and conversions in international markets. OUR STORY DHPL is the daughter company of Hair & Compounds, Inc. located in California USA. After more than 22 years, together we have built a reputation for creating and providing human hair products in the high-end hair extension market known in Hollywood, Manhattan, London, Ontario, and a hundred more cities. Our culture values curiosity, experimentation, and learning. JOB SUMMARY Join our team as an entry-level Digital Marketing Specialist and learn how data, creativity, and experimentation fuel growth. You’ll work side-by-side with senior marketers, gaining hands-on experience in campaign execution, analytics, and strategy. We don’t expect you to be an expert yet—if you bring curiosity, basic digital know-how, and a willingness to learn, we’ll give you the training and mentorship to turn fundamentals into advanced skills. JOB RESPONSIBILITIES Stay informed on social media trends (social-media algorithm updates / new helpful features) and share concise digests with the team. Research social media growth & engagement hacks to boost channel growth and increase conversions. Spot content trends on multiple platforms. Observe LinkedIn, Instagram, TikTok, X, Facebook, Reddit, and Quora for popular formats and hashtags, and report to the team what to try next. Study TikTok functionality—follow trending sounds and topics, and propose relevant growth tactics. Assist the Social Media Manager in strategy development, contributing ideas, gathering data, and preparing briefs. Maintain the social media content calendar, keeping upcoming posts aligned with launches, events, and campaigns. Curate user-generated content (UGC) and secure permissions before reposting to boost authenticity. Perform pre-publish QA checks on every post—verify links, tags, hashtags, and accessibility text. Manage community interactions—reply to comments, escalate issues, and work on brand-awareness opportunities. Run daily social-listening sweeps to capture brand mentions, competitor moves, and topical conversations, then flag insights to the team. Scrape and qualify leads from online directories, networks, and social platforms to feed the sales pipeline. Monitor key metrics in GA4 and Meta/LinkedIn/YouTube dashboards; compile weekly performance reports. Document and update simple SOPs for posting, moderation, and reporting to streamline future hand-offs. QUALIFICATIONS Strong knowledge of digital marketing fundamentals. Proven experience in digital marketing projects is appreciable. Passion to learn new concepts in digital marketing. Excellent analytical and problem-solving skills Strong communication and collaboration skills Ability to manage multiple projects and prioritize tasks effectively A bachelor's degree in Marketing, Communications, Business, or a related field. REPORT TO Social Media Manager (India), Marketing Manager (India) WORK HOURS & BENEFITS Our Management Approach: We are an equal opportunity employer who believes in giving opportunities for growth in accordance with skills and attitude. Benefits We Provide Office timings: 9 am to 5:30 pm, Monday to Friday. Probation Period: 6 Months Medical Insurance: 2.00 lac PA after 3 months of joining. Social Security includes Provident Fund and Gratuity on completion of 5 years of service as per the Tamil Nadu Factories Act. 10 days of paid leave and 8 casual leave days will be provided for the Year and public holidays. Industry: Personal Care Product Manufacturing

What We Do Coda delivers commerce solutions that accelerate global growth for our partners. With over a decade of experience, we’re trusted by 300+ publishers—including Activision, Bigo, Electronic Arts, Moonton, and Riot Games—to grow their revenue and audiences worldwide. Our suite of solutions includes Custom Commerce, a fully customizable web store; Codapay, enabling seamless direct payments through API integration on publishers’ websites; Codashop, the go-to marketplace for millions of gamers to purchase in-game content; and Distribution, extending Codashop content through our network of trusted commerce partners. Headquartered in Singapore with a team of 400+ Codans, Coda has been recognized as an industry leader, named an APAC High Growth Company (2023) by Financial Times, one of Granite Asia’s NextGenTech 30 (2024), a payments leader on Fortune’s Fintech Innovation Asia list (2024), and listed among The Straits Times Fastest Growing Fintechs (2024). For more on how Coda helps publishers grow faster and smarter, visit coda.co. Engineering - Technology at Coda At Coda, our goal is to make our mark in the high-volume payments and e-commerce industry – and we are levelling up fast. To stay in stride with the dynamic environment, we focus on building robust, distributed systems that can effortlessly handle traffic spikes. Moreover, our ambitious roadmap necessitates innovative tools to streamline the development lifecycle and sustain our swift momentum. We place great value on balancing teamwork with individual autonomy, allowing our teams to make the most of modern cloud infrastructure. Our tech stack is solidly based on AWS cloud, with a keen interest in infrastructure-as-code and the creation of new microservices via the Quarkus framework. Our toolbox includes JSON and GRPC, multiple data storage integrations, queues, OpenTelemetry, and more. But what truly defines us? It's our incredible team. We hire top talent and give them the freedom to push Coda's technology and products to exciting new levels. We believe that genius can strike anywhere, so we promote ownership and cultivate a servant leadership culture that lets engineers take the reins on features. About The Role With our Engineering Hub in Thailand, we are building a rock-solid global payment, cross-border FX, and payment fraud platform and are seeking experienced engineering leaders who can elevate our global payment experience to the next level. This is an incredible opportunity to shape the future of payments in gaming at scale. Responsibilities Lead, guide and mentor multiple software engineering teams and engineering managers Take ownership of one or more key systems at Coda, working with your team to constantly drive our technology forward and defining an aggressive technology roadmap Work closely with the Product team to ensure goals and work is clearly defined, at both the OKR and day-to-day levels Own the execution of product and technical goals Coach team members using continuous improvement techniques, resulting in a high-performance team Collaborate with the recruiting team to attract strong engineering talent Requirements Passion for building great products and software Exemplary communication skills, both written and oral Experience in an agile environment, with the ability to analyze and optimize team productivity 5+ years of experience as a successful software engineer working on hard problems 2+ years as a technical lead, manager, architect, or other leadership position Strong experience with data technologies (RDBMS, NoSQL, message queues, etc.) The ability to query, analyze, and work with data to drive decision making Expert architectural skills The ability to write and review code as necessary Able to quickly learn or evaluate new technologies Bonus if you have Experience with extremely high scale, distributed systems Deep knowledge of security or cryptography Machine learning and big data knowledge Experience building systems in the AWS cloud Working at Coda With Codans spread across over 20 countries worldwide, our fast-paced, challenging, and highly collaborative environment breaks down time zones and cultural barriers, empowering you to chase innovative ideas, contribute to Coda’s growth, and make a lasting impact. If you have a passion for pushing boundaries and thrive on continuous improvement through experimentation, we would love to hear from you! Our Perks* Wellness Boost: Stay healthy with resources for physical and mental well-being with our flexible benefits and Employee Well-being Program - because you matter! Customized Benefits : Tailor your benefits with our flexible plan. Growth Opportunities : Unlock your potential through clear progression paths. Skill Development : Access training resources to fuel your personal and professional growth. Volunteer Time Off: Enjoy paid time off to make a difference in the world through volunteering. Family Support: Take advantage of paid Family Care Leave to bond with your family, while our selected Flexible Benefits also cater to your family's needs. Benefits are reviewed and updated on a yearly basis We are proud to be an equal opportunity employer, embracing the unique qualities of every individual, regardless of gender, race, age, religion, disability, or other local protected classes. Our goal is to foster an inclusive environment where everyone feels welcome and valued. Due to the large number of exceptional applications we receive, we can only reach out to shortlisted candidates. If you don't hear from us, rest assured there may be another opportunity at Coda that aligns better with your unique abilities. Remember to check our Careers Page for more exciting job openings!

Job Title-Sr Product Owner(Generative AI) || 12 to 16 Years Location- Gurgaon/Noida and Bangalore / Pune Job Summary: 1. Good experience with Generative AI (LLMs and LIMs) as a Product Owner 2. Comfortable working with onshore / offshore model 3. Support the cross functional development teams in India (engineering, data science, QE, analytics) 4. Regular collaboration with product and creative team based in US 5. Monitor product adoption and gather post-launch feedback to inform future product iterations. 6. Maintain and prioritize product backlog, ensuring alignment with strategic goals 7. Regularly update internal stakeholders on product development progress, challenges, and opportunities. 8. Facilitate innovation and experimentation on product features, using data-driven insights to guide decisions. 9. Work with data science team to regularly monitor and assess output quality and model performance

Staff Backend Engineer – Core AI Platform Location: India (Remote) Function: Engineering – AI Platform Level: Staff Reports to: VP of Engineering / CTO About the Company We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. This role is not about plugging in pre-built models—it’s about designing and scaling custom AI orchestration frameworks that bind language models, memory, judgment modules, and tool use into autonomous systems that are trustworthy, composable, and policy-aligned. You’ll work at the intersection of machine learning, distributed systems, and agentic reasoning, partnering with researchers, backend engineers, and product leaders to bring real-time, LLM-driven intelligence into production at scale. This is a rare opportunity to define and build the AI runtime and execution architecture for mission-critical agents in a high-regulation, high-trust industry. About the Role We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. Responsibilities Architect a multi-agent AI framework for orchestrating LLMs, tools, memory, and decision modules in live user-facing systems Build and optimize low-latency, distributed inference systems that meet real-time SLAs for transactional environments Develop modular components for task planning, reward routing, fallback handling, and multi-turn reasoning Design developer-facing APIs and tooling to allow AI product teams to safely extend and compose agentic functionality Integrate vector stores, custom retrieval pipelines, model evaluators, judgment layers, and auto-tuning workflows Drive the implementation of prompt tuning, reward modeling, and LLM-as-a-Judge techniques in production loops Collaborate with research to productionize new RL, planning, or alignment strategies Establish architectural best practices for extensibility, observability, and trust in AI-enabled systems Qualifications 8+ years of backend or platform engineering experience, with at least 2 years building or deploying AI/ML systems Deep experience with Node.js, asynchronous architecture, and performance-critical backend systems Prior hands-on experience building ML models or training pipelines —you know how models learn, behave, and break Expert knowledge of LLM system design, agent architectures, and Reinforcement Learning techniques Proven track record building distributed, event-driven systems in high-throughput environments Experience building real-time inference systems that integrate LLMs with retrieval, memory, or tool use Strong systems design skills: designing modular, fault-tolerant, observable software at scale Demonstrated ability to lead architectural design and cross-functional engineering initiatives Preferred Skills Experience building multi-agent systems or intelligent orchestration engines Familiarity with vector databases, semantic search, and prompt engineering techniques Comfort integrating ML eval frameworks and offline/online experimentation pipelines Open-source contributions to LLM tooling or infrastructure a plus

Company Description Design Fundaz Global Pvt. Ltd. is a dynamic team of writers, developers, and innovators dedicated to understanding people, brands, and data. We help brands get online, launch campaigns, generate leads, and grow, offering services that span content, distribution, insight, and technology. With a proven methodology to consistently deliver ROI, we aim to be your trusted partner in creating compelling experiences that transform your brand. Our dedication and experience empower us to bring your digital marketing visions to life. Role Summary The Social Media Growth Champ owns our multi-platform social presence—organic + paid + community. You will develop thumb-stopping content, architect platform-native growth systems, read algorithm shifts before they trend on LinkedIn, and turn signals (watch time, saves, shares, comment velocity) into repeatable growth loops that move real business metrics: awareness, traffic, leads, revenue, and loyalty. Key Outcomes In your first 6–12 months, you will: Deliver consistent MoM growth in high-quality followers across priority platforms (define % targets by platform/region). Improve engagement rate and meaningful interactions (comments, shares, saves) vs. baseline. Increase social-driven site traffic and/or attributable conversions (lead gen, e-comm, signups). Stand up an experimentation framework (creative x format x timing x audience) with weekly learnings. Establish influencer/creator collaborations that expand reach and credibility. Build a real-time social listening + rapid response playbook (culture, trends, brand mentions). Translate platform analytics into exec-level insights tied to business KPIs. Core Responsibilities Strategy & Planning Own platform mix strategy (TikTok, Instagram Reels, YouTube Shorts/Longform, LinkedIn, X/Twitter, Facebook, Pinterest, Threads, emerging apps). Map audience segments to platform behaviors and funnel stages. Develop channel-specific content architectures (formats, hooks, CTAs, retention mechanics). Content & Creative Ideate + script short-form video, meme formats, carousels, live sessions, stories, polls. Build creator-native briefs that perform within each platform’s algorithmic incentives. Partner with design/video teams or create scrappy in-app content yourself when speed matters. Algorithm Intelligence & Optimization Monitor signal drivers: watch time %, completion rate, replays, saves, shares, comment quality, dwell time, click-through, frequency of posting, topical freshness. Use A/B content tests + posting cadences to capitalize on ranking signals. Tag, track, and iterate based on platform insights dashboards + 1st/3rd-party tools. Paid + Organic Integration Partner with performance marketing to amplify best-performing organic posts. Build retargeting pools from engaged viewers. Test spark ads/boosting, creator whitelisting, and dark posts. Community & Conversation Respond in brand voice; escalate support/crisis issues quickly. Cultivate UGC and ambassador loops. Run polls, challenges, duet/stitch calls to action, and comment-to-DM conversion flows. Trends & Culture Track trending audio, meme patterns, hashtag clusters, platform launches. Rapidly prototype content to ride waves while staying on-brand. Measurement & Reporting Build weekly dashboard: reach, engagement quality, follower velocity, traffic lift, lead attribution, share of voice, sentiment. Translate data to narrative: what we tried, what we learned, what’s next. Required Experience 3–5+ years running multi-platform social for brands, creators, agencies, or startups (exception: breakout creators with demonstrated results welcome even if fewer years). Proven track record scaling at least one account from X → 10X (include metrics in application). Deep, hands-on experience with short-form video platforms (TikTok, Reels, Shorts). Familiarity with paid social buying basics (ads manager, boosting, spark/whitelist campaigns). Analytics fluency: platform insights, UTM tracking, GA4, social listening tools, audience segmentation. Content production: comfortable shooting vertical video on phone + basic editing. Nice-to-Have / Bonus Skills Experience in B2B and consumer social (adjust message by segment). Social commerce + live shopping. Influencer sourcing/contracting. Tools Stack Must know: Native platform analytics, Meta Business Suite, TikTok Creative Center, YouTube Studio, LinkedIn analytics. Great if you know: Sprout Social / Sprinklr / Hootsuite / Later, Dash Hudson, Klear/Grin (influencers), Brandwatch / Talkwalker (listening), Notion / Airtable (content calendar), Google Analytics, Looker/Mode (reporting). Traits We Love Obsessed with the “why” behind virality (you reverse-engineer). Rapid experimenter : ship, learn, pivot. Hybrid creative + quant brain : comfortable moving between storyboard and spreadsheet. Community-first energy : you reply, riff, stitch, and build relationships. Comfortable on camera (or with directing talent who is). Culture-tuned but brand-safe judgment. Systems thinker : builds repeatable growth loops, not one-off hits.

Position: Performance Marketing Executive/Sr. Executive Company Name: Fship- A Product of Fixfeels Technologies Private Limited Location: Noida Sec-63 (Near to Electronic City metro station) Salary: Hike on last drawn Experience required: 3+ years Fship is hiring for a performance-driven digital marketer having experience in managing lead generation campaigns for B2B service-based businesses. It is a full-time On-site role. You will be responsible for strategizing, executing, and optimizing paid marketing campaigns to generate qualified leads. You'll work closely with the sales and product teams to ensure funnel alignment, effective targeting, and consistent lead quality. Key Responsibilities Plan, execute, and optimize performance marketing campaigns on Meta (Facebook/Instagram) and Google (Search, Display, YouTube). Build and manage full-funnel paid campaigns for B2B service-based offerings, focusing on lead generation. Drive measurable outcomes: lower Cost per Lead (CPL), increase lead quality, and maximize return on ad spend (ROAS). Monitor and manage daily campaign budgets, pacing, bid strategies, and A/B testing of ad creatives, targeting, and copy. Collaborate with sales and CRM teams to ensure lead qualification and tracking are in sync. Provide regular campaign reports, insights, and recommendations based on performance and industry trends. Implement audience segmentation and retargeting strategies to re-engage high-intent prospects. Stay up to date with platform changes, industry best practices, and competitor activities. Use tools like Google Analytics, Tag Manager, and conversion APIs for performance tracking and attribution. Job Requirements Minimum 3 years of experience in performance marketing, with a proven track record in B2B lead generation. Strong command over Meta Ads Manager and Google Ads (Search, Display, YouTube). Hands-on experience in setting up and optimizing campaigns for service-based B2B brands. Analytical mindset with comfort in handling data and deriving actionable insights. Proficiency in tracking and reporting tools: Google Analytics, Excel/Sheets, UTMs, and campaign dashboards. Experience in lead funnel optimization and reducing CPLs through experimentation and targeting strategies. Strong communication and collaboration skills. If you are data-obsessed, ROI-focused, and well-versed with Meta Ads and Google Ads, this role is for you! send in your resume to hr@fship.in Warm Regards Kanika Arora

Meet the Team We are an innovation team on a mission to transform how enterprises harness AI. Operating with the agility of a startup and the focus of an incubator, we’re building a tight-knit group of AI and infrastructure experts driven by ambitious ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible — faster, leaner, and smarter. We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected. Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise. If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you. Impact Cisco is seeking a highly skilled and detail-oriented Test Automation Engineer to lead the design, implementation, and execution of automated testing strategies for its products. This role focuses on ensuring software quality, streamlining CI pipelines, and acting as a bridge between product and engineering teams to align testing efforts with business goals. The ideal candidate will have expertise in CI tools, GitHub Actions, system and integration testing, and feature flag management, with a proven ability to deliver high-quality, reliable software. As a Test Automation Engineer at Cisco, your contributions will: Ensure software releases meet high-quality standards through robust automated testing strategies. Streamline CI pipelines with effective quality gates to reduce release cycle times. Use of AI agents to automate code review and code coverage tasks. Facilitate seamless live upgrades and rollbacks by thoroughly testing these scenarios. Align testing efforts with product goals, enabling faster time-to-market for features. Improve the overall user experience by ensuring the reliability of UI and system integrations. Your work will help Cisco deliver reliable, high-performing products while building trust with customers and stakeholders. Key Responsibilities: Design and maintain Testing CI pipelines to ensure efficient and reliable software releases, leveraging tools like GitHub Actions. Utilize Git and GitHub to manage test automation code and collaborate effectively with development teams. Define and enforce quality criteria for pipeline gates to ensure only high-quality code is promoted to production. Manage the ownership, testing, and lifecycle of feature flags to enable controlled feature rollouts and reduce risks. Develop and execute system-level and integration tests to validate end-to-end functionality and interoperability. Design test strategies to ensure seamless live upgrades and rollbacks with minimal customer impact. Implement and maintain automated UI testing frameworks to ensure a smooth and consistent user experience. Act as a bridge between product and engineering teams to align testing efforts with product goals and priorities. Bachelor’s degree+ and relevant 5+ years of Engineering work experience. Minimum Qualifications: Proficency with Python and other scripting languages. Experience with CI tools and pipeline design for release automation (e.g., GitHub Actions, Jenkins, or similar tools). Proficiency with Git and GitHub for version control and collaboration. Strong understanding of quality criteria and pipeline gates for ensuring high-quality software releases. Proven expertise in testing strategies for feature flags, including ownership of feature flag lifecycle management. Hands-on experience with system and integration testing for complex, distributed systems. Knowledge of live upgrade and rollback testing methodologies. Familiarity with UI testing frameworks and tools (e.g., Selenium, Cypress, Playwright, or similar). Strong communication and collaboration skills for working with both product and engineering teams. Use of AI agents to automate code review and code coverage tasks Preferred Qualifications: Experience in designing and implementing automated testing strategies in SaaS or cloud-based environments. Ability to balance fast-paced development cycles with thorough testing and quality assurance practices. Passion for staying up to date with advancements in test automation tools and practices. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

Company Brief House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains. Currently House of Shipping is looking to identify a high caliber Data Science Lead . This position is an on-site position for Hyderabad . Background and experience: 15–18 years in data science, with 5+ years in leadership roles Proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing Strong understanding of statistical learning, ML architecture, productionizing models, and impact tracking Job purpose: To lead enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This role blends technical leadership with strategic alignment across business units and manages advanced analytics teams to deliver measurable business impact. Main tasks and responsibilities: Define and drive the data science roadmap across forecasting (demand, returns), route optimization, warehouse simulation, inventory management, and fraud detection Architect end-to-end pipelines with engineering teams: from data ingestion, model development, to API deployment Lead the design and deployment of ML models using Python (Scikit-Learn, XGBoost, PyTorch, LightGBM), and MLOps tools like MLflow, Vertex AI, or AWS SageMaker Collaborate with operations, product, and technology to prioritize AI use cases and define business metrics Manage experimentation frameworks (A/B testing, simulation models) and statistical hypothesis testing Mentor team members in model explainability, interpretability, and ethical AI practices Ensure robust model validation, drift monitoring, retraining schedules, and version control Contribute to organizational data maturity: feature stores, reusable components, metadata tracking Own team hiring, capability development, project estimation, and stakeholder presentations Collaborate with external vendors, universities, and open-source projects where applicable Education requirements: Bachelor’s or Master’s or PhD in Computer Science, Mathematics, Statistics, Operations Research Preferred: Certifications in Cloud ML stacks (AWS/GCP/Azure), MLOps, or Applied AI Competencies and skills: Strategic vision in AI applications across supply chain Team mentorship and delivery ownership Expertise in statistical and ML frameworks MLOps pipeline management and deployment best practices Strong business alignment and executive communication

Title- Growth Management- Mutual Funds About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role: Drive user acquisition, engagement, and retention for our Mutual Funds platform, accelerating growth and increasing market share in the mutual fund investment space. Responsibilities: - Develop and execute data-driven growth strategies to boost user adoption and transaction volume for mutual fund products, with a primary focus on driving SIP registrations. - Design and implement A/B tests and experiments to optimize user journeys, improving key metrics such as conversion rates, SIP sign-ups, and customer retention. - Analyze investor behavior and identify opportunities for product enhancements, marketing campaigns, and customer segmentation. - Collaborate with marketing, product, and engineering teams to launch and refine growth initiatives focused on mutual fund investors. - Monitor and report on key performance indicators (KPIs) such as SIP registrations, assets under management (AUM), customer acquisition cost (CAC), and customer lifetime value (CLTV), providing actionable insights to stakeholders. - Identify and leverage new distribution channels, partnerships, and digital platforms to expand reach among mutual fund investors. - Plan and execute promotional campaigns in collaboration with Asset Management Companies (AMCs) to promote specific mutual fund schemes and drive targeted investments. - Implement user feedback loops to improve product experience, enhance investor satisfaction, and increase loyalty. - Focus on increasing repeat investments and enhancing overall investor lifetime value. Requirements: - 4-6 years of experience in growth marketing, product growth, or related roles. - Proven track record in driving growth, preferably within the fintech, investment, or financial services sectors. - Strong analytical skills with proficiency in tools such as Clevertap, Google Analytics, SQL, or similar platforms. - Hands-on experience with A/B testing and experimentation frameworks. - Deep understanding of user acquisition, engagement, and retention strategies specific to financial products or investment platforms. - Familiarity with digital marketing channels, campaign management, and performance marketing techniques. - Prior experience or understanding of the mutual funds industry or broader financial services is highly preferred. - Experience working with AMCs or managing promotional partnerships is a plus. - Excellent communication, collaboration skills, and a data-driven, results-oriented approach. Why join us? A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Respect, that is earned, not demanded from your peers and manager Compensation : If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 17 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Title- Growth Management- Mutual Funds About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role: Drive user acquisition, engagement, and retention for our Mutual Funds platform, accelerating growth and increasing market share in the mutual fund investment space. Responsibilities: - Develop and execute data-driven growth strategies to boost user adoption and transaction volume for mutual fund products, with a primary focus on driving SIP registrations. - Design and implement A/B tests and experiments to optimize user journeys, improving key metrics such as conversion rates, SIP sign-ups, and customer retention. - Analyze investor behavior and identify opportunities for product enhancements, marketing campaigns, and customer segmentation. - Collaborate with marketing, product, and engineering teams to launch and refine growth initiatives focused on mutual fund investors. - Monitor and report on key performance indicators (KPIs) such as SIP registrations, assets under management (AUM), customer acquisition cost (CAC), and customer lifetime value (CLTV), providing actionable insights to stakeholders. - Identify and leverage new distribution channels, partnerships, and digital platforms to expand reach among mutual fund investors. - Plan and execute promotional campaigns in collaboration with Asset Management Companies (AMCs) to promote specific mutual fund schemes and drive targeted investments. - Implement user feedback loops to improve product experience, enhance investor satisfaction, and increase loyalty. - Focus on increasing repeat investments and enhancing overall investor lifetime value. Requirements: - 4-6 years of experience in growth marketing, product growth, or related roles. - Proven track record in driving growth, preferably within the fintech, investment, or financial services sectors. - Strong analytical skills with proficiency in tools such as Clevertap, Google Analytics, SQL, or similar platforms. - Hands-on experience with A/B testing and experimentation frameworks. - Deep understanding of user acquisition, engagement, and retention strategies specific to financial products or investment platforms. - Familiarity with digital marketing channels, campaign management, and performance marketing techniques. - Prior experience or understanding of the mutual funds industry or broader financial services is highly preferred. - Experience working with AMCs or managing promotional partnerships is a plus. - Excellent communication, collaboration skills, and a data-driven, results-oriented approach. Why join us? A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities A solid 360 feedback from your peer teams on your support of their goals Respect, that is earned, not demanded from your peers and manager Compensation : If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 17 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

At Urban Talkies, we're on the lookout for a passionate and detail-driven Creative Design Associate who can turn concepts into striking visual stories. This role is ideal for someone who loves design, understands digital communication, and wants to grow in a fast-paced, creative environment. If you're someone who thinks visually, stays updated with the latest design trends, and thrives on creating content that stands out, we want to hear from you. About Urban Talkies: Urban Talkies is a dynamic video production and social media marketing agency based in New Delhi. Our expertise lies in creating professional videos and developing effective digital strategies for businesses of all sizes across various industries. With a focus on maximizing the impact of visual content, we help companies and brands become visually better and digitally stronger. Additionally, we proudly serve as an extended video production partner for leading creative and marketing agencies in India. To learn more about us, please visit www.urbantalkies.com. What We’re Looking For: Visually Strong & Conceptual: You have a sharp design sense and can create compelling visuals that align with a brand’s voice and objectives. Digitally Minded: You understand how design functions across different platforms and know how to tailor visuals for different target audiences. Collaborative Spirit: You enjoy working closely with teams across departments to bring campaigns to life. Fast & Flexible: You're comfortable managing multiple projects, meeting deadlines, and adapting to creative feedback. Creative Thinker: You bring originality and innovation to your work, with a solid understanding of design fundamentals and storytelling. Key Responsibilities: Design and produce on-brand visual content for social media, campaigns, and client projects. Develop creative concepts, layouts, and graphics in line with brand guidelines and project goals. Collaborate with content, video, and marketing teams to elevate the visual output. Participate in brainstorming sessions and contribute visual ideas that enhance the creative strategy. Stay updated with design trends, digital formats, and platform-specific visual nuances. Handle multiple projects simultaneously, maintaining both quality and speed. Requirements: 1– 3 years of experience in graphic design (internship or agency experience preferred). Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign; After Effects is a bonus). Prior marketing agency experience is an added advantage. Understanding of design principles, typography, and layout. Strong attention to detail with a passion for creativity and originality. Good communication and presentation skills. Eagerness to learn, grow, and contribute actively to a creative team. Open to working from the office 5 days a week (South Delhi). Incentives: Supportive and collaborative team culture Flexible working hours Opportunity to work on diverse brands and creative campaigns Real-time learning through hands-on projects and mentorship Space for creative experimentation and growth To apply, you can share your resume at hr@urbantalkies.com. Feel free to reach out for any queries.