Learning And Development Partner in Noida

ABOUT THE INSTRUCTIONAL DESIGNER ROLE: WIN is looking for experienced Instructional Designers to create engaging, practical, and impactful learning experiences for our franchise owners, external partners, team members, customers, and other stakeholders to support our growth in the U.S. and internationally. You will work closely with subject matter experts and cross-functional teams to transform complex business processes, product knowledge, and operational concepts into engaging and effective learning experiences. From e-learning modules and videos to instructor-led sessions, onboarding programs, job aids, assessments, and product training, you will help determine the right learning approach for different audiences and needs. We are looking for team members who are curious, creative, and passionate about how peoplelearn. You should be excited to experiment, leverage AI, and continuously improve learning content faster and more effectively. KEY RESPONSIBILITIES: Design and develop engaging learning experiences including e-learning modules, instructor-led training, videos, onboarding programs, product training, job aids, SOPs, assessments, quizzes, and other learning resources. Manage learning content from concept through development, review, launch, and continuous improvement. Create learning journeys, course outlines, storyboards, scripts, activities, simulations, and assessments aligned with specific learning objectives. Utilize innovation and AI tools to accelerate research, content development, storyboarding, visual creation, video and voice production, assessments, and rapid prototyping of learning experiences. Design learning experiences for U.S. audiences with strong attention to language, context, examples, and cultural relevance. Collaborate with Product, Operations, Marketing, Technology, and other teams to develop training for new products, processes, systems, and initiatives. Maintain and update existing training programs and learning resources as product

Staff Software Engineer - Testing & Automation Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Staff Engineer within the Verification Platform team at Sumo Logic, you will drive the implementation and optimization for our verification platform as well as the modernization of our CI/CD pipelines. Your mission is to develop and sustain automated tooling for all testing, verification, and functional requirements, leveraging AI reasoning and machine learning models to predict and prevent delivery issues, while integrating advanced security validation and non-functional requirements into our delivery lifecycle. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services, and progressing Sumo Logic’s internal Platform-as-a-Service. This role sits at the intersection of Platform Engineering, Quality Engineering, DevSecOps, and Developer Productivity, helping teams deliver secure, reliable, and independently deployable services at scale. Responsibilities Strategy & Leadership: Drive technical direction and design for a modern Quality Engineering platform, driving the adoption of AI reasoning for enhanced automation of all testing, verification, and functional requirements. Pipeline Modernization: Lead the modernization of CI/CD pipelines to include automated security validation, compliance checks, and other critical non-functional requirements, with a focus on integrating AI/ML for intelligent pipeline optimization and risk prediction. Framework Ownership: Own the delivery pipeline and release automation framework for all Sumo services, ensuring improvements in developer productivity, deployment frequency, and release reliability. Cross-Team Collaboration: Educate and collaborate with teams during design and development phases to ensur

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed. We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award-winning onboarding experience welcomes and supports you from the moment you accept our offer. Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you. #UatInsurity What’s In It For U Work Where You Thrive: Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative Generous Time Off : Our leadership believes in taking the time you need when you need it. Day One Health Benefits + Employer-Matched Retirement Savings : You might think these are table stakes, but we know these matter to you. More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent. Award-Winning Onboarding Program : We set you up from the get-go to make a significant impact from Day One and follow you through your entire first year. Real Career Growth Opportunities

ABOUT THE PRODUCT SUPPORT SPECIALIST ROLE: WIN is looking for Product Support Specialists to provide exceptional support to users of our cloud-based applications and digital products. You will develop a deep understanding of our products, business processes, and user needs to help users navigate features, troubleshoot issues, configure applications, and get the most value from our technology. We are looking for people who are curious, resourceful, and highly user-focused. You should enjoy solving problems, learning how products work, and explaining solutions in a simple and empathetic way. You will also be expected to embrace AI and modern productivity tools to research issues faster, improve documentation, identify patterns, and make support more efficient and scalable. KEY RESPONSIBILITIES: Develop deep product and business knowledge to become a Subject Matter Expert across WIN's cloud-based applications, websites, and internal platforms. Support users by understanding their needs, answering product questions, explaining features, and helping them effectively navigate and utilize applications. Troubleshoot product and application issues, identify root causes, and provide timely and practical resolutions. Configure cloud-based applications and product settings based on user and business requirements. Manage and prioritize requests through the ticketing system, ensuring timely follow-up, accurate resolution, and a positive user experience. Use AI and modern productivity tools to accelerate issue research, summarize information, troubleshoot efficiently, and improve the quality and speed of support. Identify recurring questions, issues, and user pain points and use these insights to recommend improvements to products, processes, and support resources. Create and maintain clear product guides, FAQs, troubleshooting instructions, knowledge-base articles, and issue-resolution documentation. Leverage AI to help organize and improve knowledge content, while ensuring infor

We’re Hiring 3–4 Marketing Associates 🎯 This is a great opportunity to join a fast-growing global team and build your career in digital marketing. About WIN 🌎 WIN is the #1 ranked company in our industry in the US and also the fastest growing. We work with both consumers and businesses, giving you exposure across the full spectrum of marketing: SEO, social, paid ads, content, and more. About the Role Do you wonder how Google decides which brands show up first, why YouTube ads stay stuck in your head, or why some Instagram Reels go viral? If you’re curious about these things and love exploring new marketing trends, this role could be a great fit. We are hiring junior marketers who may not know it all yet, but who are: Honest, reliable, and disciplined Excited to learn by doing from senior mentors Self-starters who research first instead of waiting for instructions If you have 2+ years of professional experience after graduation, are passionate about marketing, and eager to grow your career, you’ll thrive here. What You’ll Do Contribute to real marketing projects by improving franchisee online presence, making updates, and supporting campaigns so they perform better Support initiatives across SEO, social, paid ads, and content with detail and consistency Research marketing trends, test ideas, and apply learnings to live projects Assist with reporting, dashboards, and quality checks Learn directly from senior marketers while being accountable for your own deliverables What We Value Most ❤️ Integrity and honesty in everything you do Work ethic and discipline to finish tasks on time, even when remote Curiosity to keep researching, testing, and asking why Clear, respectful, and professional communication with teammates Bonus Points If You Have Experience in any of SEO, social media, paid ads, content, or analytics Familiarity with tools like Canva, Google Analytics, or Meta Ads Strong written communication skills and attention t