Andrew NG Deep Learning Jobs in Noida

AI/ML Engineer Noida 2+ Years Experience Full-Time Location: Noida Experience Level: Minimum 2 years Employment Type: Full-Time Open Positions: 2 Job Overview: We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic technology team in Noida or Indore. If you have a passion for artificial intelligence, deep learning, and machine learning systems, and are excited to work on cutting-edge projects, we want to hear from you. Key Responsibilities: Develop and implement end-to-end machine learning solutions, including proof of concepts (POCs). Design, build, train, and optimize machine learning models for various business use cases. Research and evaluate the latest ML algorithms, frameworks, and tools. Work closely with software engineering teams to deploy AI models in production environments. Required Qualifications and Skills: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 2 years of hands-on experience in machine learning or data science roles. Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, or similar ML frameworks. Proficiency with cloud-based AI platforms (such as AWS SageMaker, Google AI, or Azure ML). Familiarity with Docker, Kubernetes, and modern deployment pipelines. Opportunity to work on impactful, large-scale AI/ML projects. Flexible work locations Noida or Indore. Collaborative work culture with growth and learning opportunities. Apply now and shape the future with intelligent technology. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and revolutionizing how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We know that new ideas can come from anywhere in the organization, and the next big idea could be yours! Excited by AI/ML? Interested in creating innovative solutions using Machine Learning? Join the Document Cloud team in Noida, where we are building PDF solutions across Web, Mobile, Desktop, and Platform APIs. We process billions of PDFs every month, leveraging ML, Deep Learning, and Generative AI at the core. We are looking for experienced individuals who are passionate about researching and developing methods for processing vast amounts of content, and are able to build mashups of Vision, Image Processing, NLP, and Generative Models to solve complex problems. What you get to do in this role: Develop algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision, alongside traditional large-scale, sophisticated solutions/codebases. Design and create experiments, algorithms, and solutions that achieve high accuracy while ensuring they are engineered to scale. Collaborate across multiple research and engineering disciplines to make the tradeoffs necessary to rapidly deliver AI/ML software solutions. Build robust, efficient, and reusable code in Python. Experience with C++ is preferred. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD is preferred. 3+ years of hands-on experience in deep learning, image processing, vision, and/or NLP. Proficiency in writing efficient, clean, and reusable code, with expertise in Python. Knowledge of C++ is a plus. Broad machine learning experience including data modeling, metrics, and result analysis. Experience working with TensorFlow or PyTorch. Exposure to Deep Learning techniques like CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, and multi-task learning. Experience in building solutions from scratch and maintaining large codebases. Strong software development skills that promote code reuse across engineering and research teams. Experience building AI applications for multiple locales is a plus. Pure Innovation: We celebrate those who think critically, take on challenges, and aspire to lead the way. Pure Growth: We offer the space and support you need to grow and contribute meaningfully to something groundbreaking. Pure Team: We believe in building each other up and working collaboratively toward shared goals. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech in Computer Science. MS/PhD preferred.

Job Title: Robot AI Researcher Advanced Robotics Location: Noida Role Overview As a Robot AI Researcher, you will develop and deploy advanced AI algorithms for robotic systems, focusing on vision, perception, and motion planning. You will collaborate with cross-functional teams to optimize AI models and integrate them into real-world robotic applications. This role is part of the Advanced Robotics team, working on innovative projects like Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at shaping the future of robotics. Key Responsibilities Design and implement AI algorithms for robotic systems, focusing on computer vision, perception, motion planning, and reinforcement learning. Develop and deploy machine learning and deep learning models (e.g., CNNs, RNNs, GANs) for applications like object recognition, path planning, and autonomous decision-making. Enhance RL/IL processes to improve sample efficiency, learning speed, and scalability. Apply reinforcement learning techniques to optimize robotic behaviors such as navigation, manipulation, and task execution. Train multimodal robot foundation models using large-scale datasets. Optimize AI models for real-time performance and deployment on robotic platforms. Use data augmentation and simulation techniques to improve model robustness. Leverage CUDA programming for GPU acceleration to enhance model training and deployment speed. Test AI-driven robotic prototypes in real-world scenarios and refine models based on performance analysis. Collaborate with hardware engineers, roboticists, and software developers to integrate AI into fully functional robotic systems. Education & Experience PhD or Master s degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields. 2 to 5 years of experience in AI research and development for robotic systems. Technical Skills Proficiency in Python, C++, and CUDA for AI development and optimization. Experience with AI frameworks and libraries like TensorFlow, PyTorch, OpenCV, and scikit-learn. Strong knowledge of reinforcement learning, deep learning, and general machine learning techniques. Familiarity with Foundation Models, Physical AI, and Visual Language Action (VLA) Models is preferred. Knowledge of robotic sensors (LiDAR, cameras, IMUs) and Robot Operating System (ROS). Hands-on experience developing real-time AI algorithms for robotic platforms. Ability to handle large datasets, perform thorough model evaluation, and optimize for computational efficiency and real-time processing. Qualification : PhD or Masters degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields.

Role Overview: As a Development Engineer in Adobe's AI Platform team, you'll play a pivotal role in the development, operations, and support of cutting-edge AI and ML solutions. You will be responsible for building new features, maintaining existing ones, and ensuring the successful delivery of high-quality, scalable software. The role requires expertise in Golang/Python, Kubernetes, and cloud platforms, as well as experience in machine learning (ML) solutions and workflow orchestration. Key Responsibilities: Product Development: Hands-on product development and solution implementation. Develop new features and maintain existing ones, from concept to deployment. Responsible for the full development lifecycle, including planning, design, coding, debugging, testing, and deployment. Analyze and implement high-quality software solutions using Golang/Python. Project Planning and Risk Analysis: Plan, estimate, and evaluate project efforts and associated risks. Drive the design and implementation of new layers, solutions, workflows, and features. Optimize solutions for frugality without compromising stability or resiliency. Cloud Infrastructure & ML Solutions: Design, develop, and optimize cloud-scale products and services. Build, deploy, and manage infrastructure in public cloud environments, particularly AWS. Develop solutions using the latest machine learning tools like PyTorch. Collaboration and Optimization: Collaborate with cross-functional teams to ensure the successful deployment and scalability of products. Continuously optimize the solution for performance, scalability, and cost-efficiency. Required Qualifications: Education: Bachelor s or Master s degree in Engineering or a related field. Experience: 9-12 years of relevant industry experience, particularly in cloud-based software development. Proven expertise in building large-scale platforms using Kubernetes. Strong programming skills in Python and Go. Experience with ML development tools, especially PyTorch. Experience in deploying and managing cloud infrastructure, particularly in AWS. Skills: In-depth knowledge of cloud platforms, container runtimes, and Kubernetes. Ability to work with large data-driven products and services used by a wide customer base. Strong problem-solving and debugging skills. Equal Opportunity Statement: Adobe is an Equal Employment Opportunity and affirmative action employer, ensuring all individuals are treated equally without discrimination based on gender, race, age, disability, religion, sexual orientation, or any other protected status. Qualification : Bachelors / Masters degree in engineering.

Deputy General Manager Talent Acquisition (TA Lead) Department: Human Resources Location: Noida Experience: 12 15 Years Business Unit: Avaada Energy Pvt. Ltd. About Avaada Energy Avaada Energy is the flagship entity of the Avaada Group, spearheading India s shift to a cleaner and more sustainable energy future. With a robust presence across solar energy, green hydrogen, and sustainable infrastructure, we are committed to innovation, scalability, and creating large-scale impact through renewable energy solutions. Role Overview We are looking for a strategic and seasoned Talent Acquisition (TA) Leader to head our recruitment function at the Deputy General Manager level. This is a critical leadership role responsible for defining, driving, and scaling recruitment strategies that align with Avaada Energy s aggressive growth plans. The ideal candidate will bring strong expertise in project-based hiring, corporate and leadership recruitment, and a deep understanding of the renewable energy landscape. This is a high-impact role with direct engagement across CXOs, business heads, and project teams. Key Responsibilities Talent Acquisition Strategy & Workforce Planning Develop and execute annual and quarterly manpower plans aligned with the organization s strategic goals. Forecast and manage hiring needs across corporate, site, and EPC functions including engineering, procurement, project management, regulatory, and finance. Build strong talent pipelines for permanent, contractual, and niche technical roles. Conduct competitive benchmarking and track industry hiring trends to proactively identify top talent. Partner with business heads and HRBPs to define workforce metrics and priorities. Leadership Hiring & Stakeholder Management Act as the single point of contact for all recruitment activities across Avaada Energy. Partner with CXOs and senior leadership to drive closure of critical and executive-level roles. Provide strategic counsel to senior stakeholders on hiring best practices, diversity goals, and talent market competitiveness. Process Excellence & Recruitment Operations Oversee end-to-end recruitment lifecycle: job requisition, sourcing, interviewing, offer negotiation, and onboarding transition. Ensure all job postings are up to date across internal systems (Darwinbox, career portal). Establish and track key recruitment SLAs, conversion metrics, and candidate experience benchmarks. Maintain full compliance with company policies, background verification standards, and DEI guidelines. Team Leadership & Capability Building Lead and mentor a high-performing team of recruiters and coordinators across corporate and site locations. Set team KRAs and performance goals, foster a culture of collaboration, and encourage continuous learning. Upskill the TA team in digital hiring tools, AI-enabled recruitment, and employer branding practices. Employer Branding & Campus Hiring Drive campus recruitment for engineering graduates (GETs), diploma trainees, and interns. Collaborate with branding teams to run targeted talent campaigns (job fairs, social media, referral drives). Forge strategic partnerships with placement cells, training platforms, and third-party hiring agencies. Recruitment Analytics & Reporting Publish weekly/monthly dashboards and hiring reports for leadership and board updates. Track and analyze key metrics: TAT, source mix, offer-to-join ratio, cost-per-hire, early attrition, etc. Maintain a centralized repository of interview questions and assessment tools to support standardization and process automation. Ensure recruitment ROI through productivity tracking and continuous process optimization. Required Qualifications & Skills 12 15 years of progressive experience in Talent Acquisition, with at least 3 5 years in a leadership role. Experience in large-scale hiring within EPC, Energy, Infrastructure, or Engineering domains is preferred. Strong track record of executive hiring, project-based recruitment, and talent strategy development. Exceptional interpersonal and stakeholder management skills, with experience working with CXO-level executives. Proficient in ATS platforms (preferably Darwinbox), MS Office, and data-driven recruitment analytics. Demonstrated ability to lead and build high-performing teams. Preferred Education Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred). Opportunity to lead TA for one of India s most ambitious clean energy organizations. High-impact role with exposure to leadership and strategic workforce planning. Collaborative work environment driven by innovation, sustainability, and purpose. Freedom to drive initiatives, build scalable systems, and shape Avaada s future talent landscape. Qualification : Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred)

Senior Machine Learning Engineer II Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe Adobe is revolutionizing the way the world creates and communicates. From individuals to global enterprises, our tools empower people to design and deliver stunning digital experiences. We re driven by creativity, fueled by innovation, and committed to creating an inclusive culture where every employee has access to equal opportunity and respect. About the Team The Adobe Express team is building a transformative all-in-one creative application for web, desktop, and mobile platforms. By combining Adobe s core creative technologies with intelligent, AI-enhanced workflows, Adobe Express empowers anyone from casual creators to professionals to create standout content quickly and effortlessly. The Opportunity We are seeking a highly experienced and visionary Senior Machine Learning Engineer II to develop next-gen AI-powered features focused on image editing, generative AI, and multimodal creative experiences within Adobe Express. You will drive cutting-edge ML and AI workflows, including personalized assistants, intelligent editing tools, and LLM-integrated creative workflows. Experience Requirements 12+ years of hands-on experience in machine learning, computer vision, NLP, or related domains. Track record of delivering production-grade ML models and scalable AI systems. Experience with LLMs, agent-based systems, and generative AI models is strongly preferred. Responsibilities Design, develop, and deploy scalable ML pipelines across the entire lifecycle training, inference, and optimization. Build generative AI features and intelligent assistants for Adobe Express, particularly in the image editing domain. Integrate Large Language Models (LLMs) and AI agents to support dynamic and multimodal creative workflows. Collaborate across product, design, and engineering to translate user needs into AI-powered features. Architect sub-agent frameworks to modularize tasks such as content generation, smart editing, and design assistance. Contribute to experimentation infrastructure, including A/B testing, performance tracking, and continuous learning. Stay current on research in generative AI, federated learning, and optimization techniques for low-latency inference. Champion AI-first practices and mentor peers to foster a culture of experimentation, learning, and innovation. Required Skills Programming: Proficient in Python (for model development) and C++ (for performance-sensitive systems). Frameworks: Deep experience with TensorFlow, PyTorch, and modern GenAI toolkits. AI Expertise: Practical experience with LLMs, computer vision, NLP, multimodal models, and agent-based design. Systems: Proven ability to build ML pipelines at scale both in cloud and on-device environments. Preferred Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Published research or patents in AI/ML, especially in generative modeling or AI-assisted creativity. Experience with federated learning, RAG (retrieval-augmented generation), and real-time inference optimization. Lead the development of creative AI technologies that impact millions of users globally. Work in a collaborative, inclusive, and high-performing team culture. Access world-class learning, research, and innovation resources. Enjoy excellent employee benefits, flexibility, and career growth opportunities. Adobe is proud to be an Equal Opportunity Employer. We believe that diversity makes us stronger and we encourage all qualified individuals to apply. Qualification : Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.

Gen AI Engineer Location: Noida Experience: 2+ years Openings: 2 Roles & Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Required Skills: 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.

Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field

Job Title: Performance Marketing Manager Location: Noida Experience Required: 3 to 8 years Employment Type: Full-Time About the Role As a Performance Marketing Manager at EaseMyTrip, you will play a key role in maximizing our digital presence and customer acquisition through targeted advertising and strategic marketing initiatives. This role involves designing, executing, and optimizing multi-channel performance marketing campaigns, analyzing data insights, and continuously adapting strategies to improve ROI. You ll leverage emerging digital technologies and market trends to maintain a competitive edge and drive measurable results. Key Responsibilities Strategy Development: Build and implement a comprehensive performance marketing strategy aimed at maximizing visibility and driving customer acquisition. Channel Management: Plan, execute, and optimize campaigns across digital platforms including Google Ads, Bing Ads, and social media channels such as Facebook, Instagram, LinkedIn, and Twitter. App Marketing: Enhance app downloads, engagement, and retention through targeted in-app marketing initiatives. Data Analytics: Use tools like Google Analytics and Google Tag Manager to collect data, analyze campaign performance, and make data-driven decisions for optimization. Budget Management: Efficiently allocate and manage marketing budgets to optimize cost per acquisition (CAC) and overall ROI. Campaign Optimization: Conduct continuous A/B testing, performance analysis, and refinement of campaigns to meet key performance indicators (KPIs). Innovation & Testing: Explore new digital marketing channels and technologies to improve campaign effectiveness. Cross-functional Collaboration: Partner with management and other teams to align marketing efforts and share insights. Reporting: Prepare detailed reports on campaign performance, providing actionable insights for future marketing strategies. Market Awareness: Stay current with digital marketing trends, tools, and best practices to keep the company competitive. Preferred Candidate Profile Education: Bachelor s or Master s degree in Marketing, Business Administration, or a related field. Experience: Proven track record managing multi-channel digital marketing campaigns, including PPC, SEO, and social media marketing. Analytical Skills: Strong ability to analyze data, interpret metrics, and make informed marketing decisions. Technical Proficiency: Skilled in digital marketing tools such as Google Analytics, Google Tag Manager, and mobile marketing platforms. Strategic Thinker: Capable of developing clear, goal-oriented marketing strategies. Communication: Excellent verbal and written communication skills to effectively engage with teams and leadership. Problem Solver: Creative and resourceful in overcoming marketing challenges. Adaptability: Willingness to experiment, learn, and adjust to evolving digital marketing landscapes. Goal-Oriented: Driven to meet and exceed performance targets. Team Player: Collaborative mindset to work effectively within cross-functional teams. Work with one of India s fastest-growing travel-tech platforms. Be part of a dynamic, innovative, and supportive team. Competitive salary and benefits. Opportunity for professional growth and continuous learning. Qualification : Bachelors or Masters degree in Marketing, Business Administration, or a related field.

Agency Engagement Manager Paytm Ads Location: Noida, Uttar Pradesh (On-site) Department: Business Paytm Ads Type: Full-time Employment About Paytm Paytm is India s leading mobile payments and financial services platform. As the pioneer of mobile QR payments in India, our mission is to bring half a billion Indians into the mainstream economy through the power of technology. With over 500 million registered users and 21+ million merchants, we re reshaping the way India transacts. About Paytm Ads Paytm Ads is our cutting-edge digital advertising vertical that enables brands to engage with a 300+ million strong user base through precision targeting and innovative ad formats. By analyzing transactions and user behavior across 200+ services within the Paytm ecosystem, we deliver highly personalized campaigns that drive real business outcomes for brands. Role Overview: Agency Engagement Manager (West Market) As an Agency Engagement Manager, you will be responsible for building, scaling, and nurturing strategic partnerships with advertising agencies. You ll serve as a key connector between agency stakeholders and Paytm Ads, ensuring seamless collaboration, product adoption, and revenue growth. This is a high-impact role requiring deep industry insight, strong relationships, and a consultative sales mindset. Key Responsibilities Develop and grow strong relationships with key agency stakeholders, from CXOs to execution-level teams. Act as a trusted advisor, helping agencies leverage Paytm Ads solutions to grow their clients businesses. Execute Paytm Ads go-to-market strategy for agency partnerships, ensuring sustained revenue growth. Co-create innovative programs and initiatives that align with agencies value propositions and drive business outcomes. Own the agency training, education, and product evangelism strategy, ensuring platform understanding and engagement. Collaborate cross-functionally with internal teams (Sales, Marketing, Product) to ensure coordinated and effective campaign execution. Serve as the internal voice of agency partners, contributing insights to product development and marketing strategies. What You ll Need to Succeed 5+ years of experience in marketing, digital advertising, media sales, or agency management. Deep understanding of India s digital ad ecosystem and agency landscape. Proven track record in relationship management, strategic planning, and delivering measurable growth. Strong communication, presentation, and negotiation skills. Existing network of senior agency and brand decision-makers is highly preferred. Ability to manage multiple stakeholders and projects in a fast-paced, cross-functional environment. Bachelor s degree is mandatory; additional certifications in marketing or advertising are a plus. Be at the forefront of ad tech innovation with one of India s largest and most data-rich ecosystems. Shape the future of digital advertising across fintech, retail, eCommerce, and more. Enjoy a collaborative, output-driven culture focused on growth and continuous learning. Be a part of India s biggest digital lending and monetization story. Compensation & Perks If you re the right fit, we believe in creating wealth for you not just a paycheck. Join a company where your impact is visible, valued, and celebrated. Apply now and take the next big leap in your digital advertising career. Qualification : Bachelors degree is mandatory; additional certifications in marketing or advertising are a plus.

The Role We are seeking a Senior Business Analyst to support our Fixed Income Pricing business within the Market, Data, and Valuations (MDV) division, based in Noida, India. The Team This role is part of the Product Development team within Fixed Income Pricing. The team drives product development execution across the pricing business, covering asset classes such as Credit, Bonds, and Loan Pricing. The Impact This position is crucial for delivering product roadmaps that drive revenue growth and business success. The role involves collaboration with cross-functional teams to define, execute, and track roadmaps. Opportunity to work with a highly focused team that innovates, defines, and delivers new initiatives while maintaining existing business. Exposure to a wide range of S&P Fixed Income products. Collaboration with stakeholders across various levels and functions. Significant learning and career growth opportunities within S&P Global. Responsibilities Collaborate with a cross-functional and geographically dispersed team to ensure timely and effective delivery of key project milestones. Act as a product owner/business analyst for multiple high-impact initiatives. Define and maintain product roadmaps in partnership with cross-functional stakeholders. Facilitate requirement-gathering sessions and deliver detailed business and functional requirements, user stories, and feature files. Resolve ambiguities in scope and requirements to ensure successful delivery. Conduct User Acceptance Testing (UAT) and provide regular status updates to senior stakeholders. Manage internal communications on project milestones, issues, and risks to keep business stakeholders and leadership informed. Educational Background: BA/BS/MBA in finance, business, or computer science. Experience: 5+ years as a product owner or business analyst, preferably in an Agile/Scrum environment. Familiarity with geographically dispersed, large teams. High-level understanding of databases and programming concepts. Strong knowledge of product lifecycles, creating specifications, and designing mockups. Proven ability to interface with both technical and non-technical teams. A professional, detail-oriented, energetic personality with a strong commitment to teamwork and success. Qualification : BA/BS/MBA in finance, business, or computer science

The Team: The Enterprise Data Management team centralizes and manages diverse data on a single, resilient platform, delivering a unified version of the truth for trade, operational, risk, financial, and customer data. Through smooth data integration, validation, and distribution, Enterprise Data Management strengthens data governance, quality, and transparency, enabling firms to maintain ongoing compliance and control. Our award-winning platform is essential for large financial institutions, backed by a dedicated team focused on continuous improvement and successful client deployments. We are committed to enhancing the platform's capabilities, keeping it at the forefront of industry standards while providing exceptional support for client implementations. The Role: We are seeking a seasoned Enterprise Data Management Technical Specialist to join our dynamic team in Gurgaon, India, reporting directly to Raj Ethiraj. In this crucial role, you will lead the design, implementation, and configuration of sophisticated EDM solutions, ensuring data accuracy, consistency, and regulatory compliance. The Impact: As a key member of the Product Management team, you will play an essential role in steering the Agile development process, overseeing complex projects from inception to completion, and maintaining modules to ensure smooth functionality. What s in for you: You will collaborate closely with cross-functional teams, mentor junior team members, and contribute to the timely delivery of impactful product enhancements that drive business profitability. The ideal candidate will have a strong technical background, with a minimum of 6 years of hands-on experience in Enterprise Data Management, a deep understanding of financial data and capital markets processes, and exceptional communication and product management skills. Join us to drive the success of our award-winning Enterprise Data Management platform within the financial services industry. Key Responsibilities: Design, implement, and configure Enterprise Data Management solutions to align with client and product requirements. Lead complex Enterprise Data Management projects from inception to completion, ensuring timely delivery and high-quality results. Provide expert guidance on data management best practices, with a focus on accuracy, consistency, and regulatory compliance. Develop and optimize data matching and validation rules to enhance data integrity. Configure data integration processes from various sources, ensuring smooth and efficient data flow. Troubleshoot and resolve complex data issues, delivering effective solutions to minimize impact. Collaborate with cross-functional teams to ensure successful project delivery and alignment with business goals. Develop use cases, requirements, and user stories for product development. Mentor junior team members on Enterprise Data Management best practices and methodologies, promoting a culture of continuous learning and improvement. Work with Product Business Analysts and Project Managers to deliver on product requirements and implement client feedback. Establish key metrics to measure product success and propose new features that enhance the implementation process and improve efficiency. Contribute to an environment that encourages innovation, high productivity, and high quality. Work closely with UX processes and the UX team to conceptualize and visualize features to be delivered. Engage frequently with the development team to ensure alignment and effective communication throughout the project lifecycle. What We re Looking For: Minimum of 6 years of hands-on experience in configuring and implementing Enterprise Data Management solutions or similar platforms, with a deep understanding of financial data and capital markets processes. Strong technical background in software development and platform architecture, with proficiency in SQL and database management. Demonstrated leadership in shaping and delivering product strategies through close collaboration with various stakeholders, including Product, Commercial, Project Managers, and QA engineers. Expertise in agile methodologies and project management, with hands-on experience using tools like Azure DevOps and Confluence. Experience with multi-cloud deployments, particularly on AWS and Azure. In-depth knowledge of regulatory requirements in financial services, including ESG, Security, Party, Price, and Ratings Master. Certifications in data management or relevant technologies are highly desirable. Comfortable working closely with UX teams, contributing to the conceptualization and visualization of product features. Proven ability to lead and manage project teams across diverse geographies, juggling multiple priorities and meeting tight deadlines. Exceptional communication, negotiation, and interpersonal skills, with a proven track record of influencing cross-functional teams and delivering results without formal authority. Strong background in data governance and quality management, with familiarity with key market data providers such as Bloomberg, Reuters, and SIX. Excellent problem-solving abilities and a keen attention to detail, ensuring the delivery of high-quality, effective solutions to complex data challenges. Proficiency in writing clear and detailed User Stories, Use Cases, and acceptance criteria. A collaborative mindset, thriving in cross-functional teams that value innovation, productivity, and quality. Strong client-facing skills, capable of delivering successful projects and ensuring client satisfaction.

Position: Fintech Academic Expert Location: Noida, Uttar Pradesh Department: Analytics Education Employment Type: Full-time About Paytm Paytm is India's leading mobile payments and financial services platform. As the pioneer of mobile QR payments in India, we build technologies that empower small businesses with seamless payment and commerce solutions. Our mission is to bring half a billion Indians into the mainstream economy through the power of technology. About the Role We are seeking a seasoned Fintech Academic Expert to drive educational innovation and thought leadership across our organization. This role blends domain expertise with instructional design, aimed at building internal capabilities, supporting product development, and engaging the broader fintech ecosystem. You will be at the forefront of Paytm s knowledge initiatives crafting cutting-edge learning content, delivering impactful training, and translating emerging fintech trends into actionable insights for our teams and partners. Key Responsibilities Content Development Design and deliver high-impact educational content, including case studies, technical guides, and hands-on modules across fintech domains. Research & Industry Trends Continuously track global fintech innovations and incorporate relevant insights into training programs and strategic discussions. Training & Enablement Lead in-depth training sessions for employees, partners, and student cohorts on fintech products, technologies, and regulatory frameworks. Product & Innovation Support Act as a subject matter expert to assist product and tech teams in developing user-centric fintech solutions through workshops and feedback loops. Required Skills & Tools Must-Have: Advanced Excel Prompt Engineering and Agentic AI Frameworks MCP (Model Context Protocol) Programming in Java / Python / R (with hands-on experience) Good to Have: Bloomberg Terminal knowledge Ethereum/Blockchain development exposure TensorFlow or other AI/ML tools Familiarity with Agile & Kanban methodologies Core Competencies: Excellent verbal and written communication Ability to simplify complex concepts into engaging learning materials Passion for fintech education, transformation, and innovation Domain Expertise Areas Digital Wallets & Payment Systems Blockchain & Cryptocurrency Fundamentals Artificial Intelligence, Machine Learning, and Big Data Analytics Cybersecurity, APIs, and Open Banking InsurTech & RegTech Qualifications & Experience Minimum 5 years of professional experience in fintech, banking, or financial services Previous experience in teaching, mentoring, or training is highly preferred Background in fintech product development or product management is a significant plus At Paytm, you ll be part of a mission-driven team building technology for scale and impact. If you're passionate about financial innovation and want to shape the next generation of fintech learning, we invite you to join us and make a lasting difference.

Position: Manager, Statistical Analysis Work Type: Onsite Location: Noida, Uttar Pradesh, India About Fiserv: Fiserv is a global leader in fintech and payments, moving money and information millions of times daily quickly, reliably, and securely. Whether you swipe a card, pay via mobile app, or withdraw cash, Fiserv plays a vital role. Join us and make an impact on a global scale. Role Overview: As a Manager, Statistical Analysis, you will be a key driver of enterprise automation projects at Fiserv. This role requires developing detailed project plans, mentoring teams, managing resources, engaging stakeholders, and proactively mitigating risks to ensure alignment with strategic business objectives. What You Will Do: Project Planning and Management Develop comprehensive project plans covering timelines, budgets, resources, and milestones. Ensure all project activities align with corporate goals and strategies. Continuously monitor progress and adjust plans as needed. Team Leadership and Coordination Lead, mentor, and foster collaboration within project teams. Organize regular meetings to address issues and provide constructive feedback. Clarify roles and responsibilities to promote cohesive teamwork. Stakeholder Management Engage senior stakeholders to provide strategic updates and gather feedback. Identify and mitigate significant risks throughout the project lifecycle. Ensure deliverables meet Fiserv s quality standards. Resource Allocation Secure and optimize resources for maximum efficiency. Manage budgets to prevent overspending. Risk Management Proactively identify potential risks and implement effective mitigation strategies. Deploy contingency plans to maintain project momentum. What You Will Need: Education Bachelor s or Master s degree in Computer Science or a related field. Experience 10+ years leading delivery teams, especially in implementing automation solutions. Technical Skills Deep understanding of development and test automation technologies. Leadership Skills Strong leadership and team management capabilities across cross-functional groups. Communication Excellent ability to communicate complex ideas to technical and non-technical stakeholders. What Would Be Great to Have: Familiarity with the Banking and Payments domain. This role offers an exciting opportunity to lead innovation in enterprise automation while promoting a culture of collaboration and excellence at Fiserv. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Assistant Manager - HR (Learning & Development) | Training & Development | LMS Management Location: Noida, Uttar Pradesh, India Position: Assistant Manager - HR (Learning & Development) Department: Human Resources Job Description: We are seeking an experienced Assistant Manager - HR (Learning & Development) to join our dynamic team in Noida. In this role, you will be responsible for identifying training needs across various departments, planning and executing training interventions, and maintaining detailed records of training activities using the Learning Management System (LMS). You will collaborate with key stakeholders to ensure the timely delivery of training programs, generate insightful reports, and support the continuous development of employees through effective learning initiatives. Key Responsibilities: Identify Training Needs: Conduct Training Needs Analysis (TNA) in collaboration with department heads to determine skill gaps and development requirements across the organization. Plan Training Interventions: Design and implement tailored training interventions that meet organizational needs and improve employee performance. Training Calendar Management: Prepare, communicate, and manage the training calendar on a quarterly basis, ensuring that all training activities are aligned with business goals and delivered on time. Maintain Training Records: Oversee the recording and tracking of all training activities in the LMS, ensuring accurate data entry and up-to-date records. Reporting & Dashboards: Generate monthly and quarterly reports, training dashboards, and training MIS to evaluate the effectiveness of training programs and identify areas for improvement. Feedback & Evaluation: Roll out feedback forms post-training to assess the effectiveness of training programs and ensure continuous improvement. New Joiner Induction Program: Plan, coordinate, and execute the new joiner induction program, ensuring a smooth onboarding experience for new employees. Batch Training for New Hires: Organize and execute batch training programs for new hires as needed, ensuring comprehensive onboarding and skills development. Compliance Training Management: Track and maintain records for compliance e-courses for new joiners, annual refreshers for existing employees, and the completion of compliance courses for exiting employees via the LMS. Required Skills and Experience: Strong experience in Learning and Development (L&D) with a focus on training need analysis, LMS management, and training program execution. Expertise in identifying training needs across departments and designing appropriate development plans. Proficient in managing and maintaining Learning Management Systems (LMS) to record and track training activities. Excellent report generation and data analysis skills, including the ability to create training dashboards and MIS reports. Strong organizational and communication skills, with the ability to plan, coordinate, and execute training programs effectively. Ability to handle administrative tasks like tracking compliance e-courses and managing the new joiner induction program. Experience in gathering feedback and continuously improving training programs based on participant insights. Preferred Skills: Experience with training tools and software for LMS, feedback management, and reporting. Ability to work in a fast-paced environment and manage multiple training initiatives simultaneously. Knowledge of compliance training and regulatory requirements for various sectors.

Role Overview: The Adobe Express Content Team is looking for a passionate and motivated Full Stack Engineer to help build a scalable and responsive design application. As part of the team, you ll work on creating intuitive design tools that enable fast and easy content creation for users across web and mobile platforms. Key Responsibilities: UI and Service Development: Build new UI components and optimize scalable backend services and APIs to enhance user workflows. End-to-End Engineering: Architect and implement modern front-end and back-end solutions, handling upstream and downstream dependencies. Collaboration & Design: Work closely with UI/UX designers, architects, and product managers to create modern and intuitive features that deliver seamless user journeys. Performance Optimization: Extend, optimize, and future-proof parts of both front-end and back-end stacks. Production Support: Build and support production services and ensure smooth operations. Key Skills and Experience Required: Experience: 5+ years of experience in developing sophisticated web applications with responsive designs, modular and loosely coupled code. Technical Proficiency: Experience with JavaScript frameworks like TypeScript, React, ES6, and architectures like MVC/Flux/Redux. Knowledge of web standards, modern browsers, and performance optimizations (e.g., JS engines, CSS, reflow, repaint). Backend Services & Cloud Technologies: Familiarity with backend services, ElasticSearch, Node.js, Python, AWS services (Lambda, API Gateway, DynamoDB), Kubernetes, and Elastic Containers. Testing & Debugging: Strong knowledge of algorithms, data structures, and distributed systems design/implementation. Experience with unit, integration, and end-to-end testing. Production Maintenance: Experience with maintaining and debugging production environments and participating in on-call rotations. Internal Opportunities: At Adobe, creativity and constant learning are integral to career growth. Join us for an exciting journey of innovation and opportunity!

Position Title: Executive / Senior Executive Inside Sales (B2B) Location: Noida Employment Type: Full-Time About DPD Technologies At DPD Technologies, we are the creators of QueueBuster , a powerful Mobile POS solution built to serve businesses of all sizes from large-format retail chains to street-side kiosks. QueueBuster enables seamless management of billing, inventory, CRM, loyalty, and online orders through a single platform, anywhere and anytime. We foster a collaborative, flexible, and empowering work environment where innovation thrives and individuals grow. If you re passionate about sales and excited by the fast pace of a growing tech startup, you ll feel right at home with us. Role Overview We are seeking dynamic and driven Inside Sales Executives / Senior Executives to join our high-performing B2B sales team. In this role, you will be responsible for lead generation, client outreach, relationship management, and closing new business deals. You will be the first point of contact for potential clients and play a pivotal role in driving our growth. Key Responsibilities Manage end-to-end inside sales cycle from lead generation to closing deals. Reach out to prospective B2B clients via cold calls, emails, and follow-ups to generate interest and qualify leads. Conduct introductory calls and product demos to understand client needs and position QueueBuster as the right solution. Consistently achieve or exceed daily outreach targets (120 150 calls/day). Maintain detailed and accurate records of interactions in the CRM/database. Build and nurture strong client relationships by providing an exceptional customer experience. Clearly communicate the product s value proposition and address objections confidently. Coordinate with cross-functional teams to ensure smooth onboarding and customer satisfaction. Go the extra mile to meet sales quotas, follow up on leads, and facilitate future sales opportunities. Required Qualifications & Experience Bachelor s degree in Business, Sales, Marketing, or a related field (MBA preferred). 2+ years of experience in Inside Sales, B2B Sales, or Business Development. Proven track record of lead generation, prospecting, and closing deals. Strong understanding of the sales process, from prospecting to negotiation and closure. Excellent verbal and written communication and presentation skills. Strong interpersonal skills and ability to build rapport quickly with clients. Highly target-driven, self-motivated, and results-oriented. Strong negotiation skills and a competitive, confident approach. Comfortable working in a fast-paced startup environment with a focus on execution. Who You Are A creative thinker with a growth mindset and strong problem-solving skills. A self-starter who thrives with minimal supervision. Able to manage time effectively and handle multiple priorities. Highly data-driven, with the ability to analyze and optimize performance. Eager to take on new challenges, learn continuously, and grow rapidly within the organization. Be a part of a rapidly growing SaaS product company with a national presence. Opportunity to work with cutting-edge technology and a passionate team. Great workplace culture that fosters learning, ownership, and innovation. Performance-driven incentives and opportunities for career growth. Qualification : Bachelors degree in Business, Sales, Marketing, or a related field (MBA preferred)

Position Title: DevOps Engineer Location: Noida Experience: 4 8 Years Employment Type: Full-Time Must-Have Skills: AWS, Azure, Jenkins, Docker About DPD Technologies QueueBuster QueueBuster , developed by DPD Technologies, is India s leading Mobile POS Solution, built to simplify business operations across sectors. From large format retailers to small kiosks and carts, our Android-based platform supports Billing, Inventory, CRM, Loyalty, Online Store, and more all from one centralized system. Trusted by over 75,000+ merchants, QueueBuster helps businesses scale smartly and efficiently. At DPD, we foster a collaborative, innovative, and empowering work culture, where teams thrive and grow together. Role Overview: DevOps Engineer We are looking for an experienced DevOps Engineer who will work closely with our software development teams to automate, optimize, and streamline our infrastructure and deployment processes. You ll play a critical role in ensuring system reliability, performance, and scalability across production and staging environments. Key Responsibilities Collaborate with developers to deploy and operate scalable, secure, and resilient systems. Automate and manage CI/CD pipelines using Jenkins or equivalent tools. Build and maintain tools for deployment, monitoring, and infrastructure automation. Manage containerized applications using Docker and container orchestration. Monitor infrastructure health, perform root cause analysis, and resolve production issues quickly. Administer and optimize Linux/Unix servers and ensure system uptime and performance. Set up and manage web servers including Nginx and Apache, including load balancing and multi-site hosting. Implement robust backup and recovery strategies for high-availability environments. Work with AWS and Azure cloud services to manage infrastructure, networking, and application hosting. Maintain and optimize relational and non-relational databases including MySQL, PostgreSQL, MongoDB, Cassandra, Redis, and Elasticsearch. Ensure robust log management, monitoring, and alerting for applications and infrastructure. Maintain security best practices across environments (firewall configs, access management, SSL, etc.). Required Skills & Qualifications 4 8 years of experience in Linux system administration, cloud platforms (AWS, Azure), and DevOps practices. Strong experience in virtualization, containers, and container orchestration. Proficient with CI/CD tools such as Jenkins, Git, and shell scripting. Experience deploying and managing applications built on Node.js, PHP/LAMP, WordPress, and Java (J2EE) stacks. Solid knowledge of web server configuration, DNS, SSL, and load balancing. Familiar with infrastructure-as-code (IaC) and high-availability architecture. Strong grasp of networking concepts, firewalls, and security configurations. Hands-on experience with system and application monitoring tools. Strong troubleshooting and performance tuning skills. Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Good to Have Experience with container orchestration tools like Kubernetes. Exposure to infrastructure automation tools such as Terraform, Ansible, or Puppet. Familiarity with SOA, microservices architecture, and serverless deployments. Be part of a fast-growing tech product impacting thousands of businesses. Work with cutting-edge DevOps tools and cloud infrastructure. Thrive in a startup environment with ownership, learning, and flexibility. Collaborate with a talented and passionate team focused on innovation and scale.

Position Title: Technical Support Engineer / Sr. Technical Support Engineer Location: Noida Position Type: Full-Time Experience: 0 3 Years About DPD Technologies QueueBuster QueueBuster , a flagship product of DPD Technologies, is India s fastest-growing Mobile POS solution powering over 75,000+ merchants across industries like retail, restaurants, FMCG, electronics, and more. Our all-in-one POS platform simplifies business operations with features like Billing, Inventory, Khata (Digital Ledger), CRM, Loyalty Programs, and eStore integration. At DPD Technologies, we foster a culture of collaboration, creativity, and continuous learning, enabling teams to thrive and innovate in a fast-paced environment. Role Overview We are seeking a Technical Support Engineer / Sr. Technical Support Engineer who will be the first line of defense for resolving customer issues. You will work closely with our customers to understand their problems, troubleshoot software or hardware issues, and provide quick, effective resolutions. Your role is critical in ensuring a positive customer experience and maintaining high customer satisfaction. Key Responsibilities Respond promptly to merchant queries through email, phone, or Google Meet. Diagnose and troubleshoot POS software or hardware issues. Conduct online meetings with customers for issue resolution and product walkthroughs. Assist with merchant onboarding, including installation, configuration, and product training. Provide real-time support during and after deployment of POS solutions. Document technical issues and resolutions for future reference. Collaborate with internal teams (product, engineering, QA) to resolve complex issues. Be available for 24x7 support rotations (shifts/weekend coverage as required). Visit client locations for troubleshooting and escalated support (when necessary). Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field. 0 3 years of experience in Technical/Application Support or a related customer-facing technical role. Strong problem-solving skills with the ability to troubleshoot complex software/application issues. Excellent written and verbal communication skills. Strong interpersonal skills with a customer-centric mindset. Ability to manage multiple tasks and work independently in a fast-paced environment. Willingness to travel for on-site support, when required. Preferred Qualifications Prior experience supporting POS software or retail tech products. Familiarity with mobile apps, Android-based systems, or cloud-based applications. Knowledge of ticketing tools and support documentation systems. A collaborative, growth-driven work environment. Exposure to cutting-edge retail tech. Opportunities to interact with diverse businesses and industries. Flexible and empowering company culture. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field

Assistant General Manager Analytics (Risk Product) Location: Noida, Uttar Pradesh (Onsite) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, revolutionizing the digital economy with mobile QR payments. Our mission is to bring half a billion Indians into the mainstream economy using cutting-edge technology. Join us to be part of India s largest fintech lending revolution. Role Overview We are looking for an experienced Assistant General Manager Analytics to lead data analysis and reporting efforts for our lending verticals. This role demands strong expertise in SQL, dashboarding tools, and a passion for using AI to automate repetitive data workflows. You will collaborate with multiple stakeholders, deliver actionable insights, and drive data quality improvements across lending products. Key Responsibilities Develop, maintain, and automate comprehensive reports and dashboards tracking KPIs across lending verticals. Manage and prioritize data and analytics requirements from multiple lending teams. Analyze lending data trends to provide insights and actionable recommendations. Ensure data quality, accuracy, and integrity through robust methodologies. Present findings effectively to both technical and non-technical audiences. Identify opportunities to apply AI for automating repetitive data processes and improving efficiency. Stay current with industry trends in data analytics, AI, and fintech lending. Qualifications Bachelor s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.). 5 7 years of hands-on experience in data analytics, preferably in lending or financial services. Strong proficiency in SQL and PySpark for data manipulation and analysis. Expertise with data visualization tools such as Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple projects and collaborate across teams. Self-driven with a demonstrated passion for AI implementation and automation. Preferred Skills Experience with statistical modeling and data mining techniques. Familiarity with cloud data warehousing platforms like Snowflake, BigQuery, or Redshift. Programming experience in Python or R. Proven track record of implementing AI-driven automation in business analytics. Be part of India s largest fintech lending platform with 500+ million users and 21+ million merchants. Work in a high-energy, innovative environment that fosters career growth and excellence. Opportunity to contribute to democratizing credit and financial inclusion in India. Play a critical role in shaping the future of digital lending in the country. Qualification : Bachelors degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.)