805 Sdk Jobs - Page 3

Experience Level : Senior Level. Position Overview : As our Application Developer (Android), your role is pivotal in ensuring the successful delivery of our app during a launch. You will leverage our Platform as a baseline and customize it to create a tailored client experience. In addition to this, you will be responsible for enhancing and supporting existing features in the production environment. Your focus will be on delivering specific milestones and objectives within a dynamic and fast-paced environment. In this role, you will have the opportunity to contribute to the continuous improvement of our Android app, keeping it at the forefront of technology and user experience. Furthermore, as an Android developer, you will actively collaborate with cross-functional teams to ensure that the app aligns with our product strategy and exceeds client expectations. Your innovation and problem-solving skills will play a vital role in shaping the future of our Android application. If you are passionate about Android development and eager to be part of a dynamic team working on cutting-edge technology, this role offers an exciting opportunity to make a significant impact in the world of mobile app development. Roles and Responsibilities : Technical Design and Development : - Collaborate closely with Engineers to devise the best technical strategies and execute platform enhancements. - Own the delivery of timelines, ensuring high-quality results. - Establish software development best practices and encourage team adoption. Stakeholder Collaboration : - Work with various technical/non technical stakeholders (Product Managers, Designers, Marketing, Operations, API Developers) to align on company objectives and deliverables. Mentoring and Leadership : - Mentor a team of engineers, providing guidance and support. - Foster a culture of excellence and problem-solving within the team. Application Availability and Enhancement : - Ensure top-notch availability and enhance products based on requirements. - Good understanding of mobile application frameworks and stay up to date with the latest Android trends and changes. Engineering Excellence : - Own the engineering excellence and operational readiness of services, meeting SLAs and SLOs for the app. - Drive service quality, security, scalability, and other performance aspects. - Dive deep into issues, providing both reactive and long-term solutions. Support and Mentorship : - Assist other Support Engineers on complex RCA issues. - Provide technical mentoring and guidance to fellow engineers. - Offer L3 engineering support. Must Have Skills : - Overall 7+ years of experience with 5+ years of relevant experience in developing complex, large-scale Android applications. - Excellent proficiency in Kotlin, Android SDK and OOP concepts. - Strong knowledge of Android UI design principles, patterns and best practices . - Good understanding of Android basics like memory management, thread management, networking etc. - Good understanding of android architecture components and Jetpack libraries - Good understanding of Kotlin coroutines and async programming - Hands-on experience with Unit testing and debugging distributed systems . - Good understanding of dependency injection with Dagger2 or Hilt . - Experience in UI Development using Jetpack compose toolkit is an added advantage . - Hands-on knowledge of supporting multiple versions of Android, screen resolutions and device types. - Experience of working with the TIF layer is an added advantage. - Effective communication and soft skills - Working knowledge of tools like Git, Jira. Qualification : A Bachelor's or Master's degree in Computer Science Engineering or technical degree.

We are seeking a Principal Machine Learning Engineer Amgen s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models classical ML, deep learning and LLMs securely and cost-effectively. Acting as a player-coach, you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience. Roles & Responsibilities: Engineer end-to-end ML pipelines data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. Harden research code into production-grade micro-services , packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications. Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency. Optimise performance and cost at scale selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets. Instrument comprehensive observability real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics enabling rapid diagnosis and continuous improvement of live models and applications. Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams. Contribute reusable platform components feature stores, model registries, experiment-tracking libraries and evangelise best practices that raise engineering velocity across squads. Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. Partner with data scientists to prototype and benchmark new algorithms , offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs. Must-Have Skills: 6-8 years in AI/ML and enterprise software. Comprehensive command of machine-learning algorithms regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques with the judgment to choose, tune and operationalise the right method for a given business problem. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong business-case skills able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master s degree in Computer Science and or Data Science Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. Education and Professional Certifications Master s degree with 10-14 + years of experience in Computer Science, IT or related field OR Bachelor s degree with 12-17 + years of experience in Computer Science, IT or related field Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills.

We are seeking a Sr Machine Learning Engineer Amgen s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models classical ML, deep learning and LLMs securely and cost-effectively. Acting as a player-coach, you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience. Roles & Responsibilities: Engineer end-to-end ML pipelines data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. Harden research code into production-grade micro-services , packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications. Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency. Optimise performance and cost at scale selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets. Instrument comprehensive observability real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics enabling rapid diagnosis and continuous improvement of live models and applications. Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams. Contribute reusable platform components feature stores, model registries, experiment-tracking libraries and evangelise best practices that raise engineering velocity across squads. Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. Partner with data scientists to prototype and benchmark new algorithms , offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs. Must-Have Skills: 3-5 years in AI/ML and enterprise software. Comprehensive command of machine-learning algorithms regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques with the judgment to choose, tune and operationalise the right method for a given business problem. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel). Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines). Strong business-case skills able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: Experience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master s degree in Computer Science and or Data Science Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery. Education and Professional Certifications Master s degree with 6-11 + years of experience in Computer Science, IT or related field OR Bachelor s degree with 8-13 + years of experience in Computer Science, IT or related field Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT .

In our always on world, we believe its essential to have a genuine connection with the work you do. How Youll Help Us Connect the World: RUCKUS Networks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. Leveraging network assurance and enterprise-wide automation driven by AI and machine learning (ML), we empower our customers to deliver exceptional experiences for every employee, guest, customer, student, and resident who counts on those networks to connect with their digital lives. We are seeking a Sr Software Engineer to join our dynamic team in Bangalore, India. In this role, you will contribute to the design and development of cutting-edge, carrier-grade wireless access points, enabling enterprises and carriers to stay ahead of the rapidly growing demand for high-bandwidth applications Roles and responsibilities: Design and develop Wi-Fi features that align with evolving standards, focusing on high performance and low latency Collaborate across teams to manage project deliverables, dependencies and milestones Take part in technical reviews and design discussions for adopting the best solutions Interact with system engineers and product managers if required to meet customer requirements Excellent programmer and able to debug complex issues arising in an AP. Required Qualifications Bachelors or Masters Degree in Networking or Wireless with 4 to 8+ years of relevant experience In-depth knowledge of Wi-Fi access point (AP) architecture and Wi-Fi standards Experience in designing and implementing feature specifications into Wi-Fi AP products Expertise in embedded systems, kernel, and device drivers Proven experience with SDK integration across multiple platforms Ability to thrive in a fast-paced, innovative environment, pushing the boundaries of technology Most of all be a strong team player and be focused on continuous innovation and improvement What happens after you apply : Learn how to prepare yourself for the next steps in our hiring process by visiting https: / / jobs.commscope.com / content / How-We-Hire / locale=en_US

The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Your Key Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Your skills and experience that will help you excel Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum. . MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for . Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies . Note on recruitment scams

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC & Summary s Job Title GenAI S/W Engineer Location Bengaluru, Gurugram Job Type FullTime Full Stack Developer with Gen AI & Cloud Expertise Position Title Full Stack Lead Developer Experience 37 Years Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern frontend and backend technologies, cloudbased solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in fullstack development, cloud platforms (preferably Azure), and handson experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikitlearn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. Primary Skills Proficiency in React.js, .NET, and Python. Strong knowledge of Azure Cloud Services, including serverless architectures and data security. Experience with Python Data Analytics libraries o pandas o NumPy o scikitlearn o Matplotlib o Seaborn Experience with Python Generative AI Frameworks o Langchain o LlamaIndex o Crew AI o AutoGen Familiarity with REST API design, Swagger documentation, and authentication best practices. Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas Nice to have Indepth understanding of Machine Learning, deep learning, supervised, unsupervised algorithms. Mandatory skill sets AI, ML Preferred skill sets AI, ML Years of experience required 37 years Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills AI Programming Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more} No

Primary Skills required: BE/Btech or ME/Mtech. 6-10 years of relevant experience. Expertise in kernel internals , general networking and socket programming . Should have worked previously in IP networking or telecom field . A thorough knowledge of networking concepts in L2/L3 protocols . VLAN /OSPP /GRE/RSTP/ TCP/IP Must have experience on BCM-SDK and BCM-XGS chip Strong C/C++, system understanding and debugging skills are required. Experience in chassis-based router/switches will plus Candidate must possess good oral and written communication skills, be highly self-motivated and collaborate as and when required. Should be capable of working on multiple issues by prioritizing activities daily to achieve various milestones. Familiarity with Docker, JIRA , bit-bucket , confluence will be advantageous.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7- 10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents- This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries- You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use- This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments- Your Key Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams- Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers- Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations - Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways- Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows- Your skills and experience that will help you excel Experience building testing, validation, or observability systems in ML or production software environments- Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms- Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments- Familiarity with common agentic development platforms like OpenAI agents sdk , google s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces- Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes- What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing- Flexible working arrangements, advanced technology, and collaborative workspaces- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients- Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups- All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum

We are seeking a highly skilled Senior Software Engineer to join our Payment SDK (PSDK) team- In this role, you will be instrumental in designing, developing, and maintaining SDK components that enable seamless integration with Verifone s suite of solutions- You will be involved in the full software development lifecycle from gathering and analyzing requirements to feature development, testing, and supporting customer interactions- The ideal candidate is a self-driven, team-oriented professional with strong technical expertise across multiple programming languages and operating systems- You should thrive in a collaborative, geographically distributed environment and be passionate about delivering high-quality, customer-focused software solutions- Key Responsibilities: Design and develop robust, scalable SDK components for seamless customer integration with Verifone solutions- Analyze and process internal and external customer requirements to define and prioritize technical tasks- Collaborate with project leads and cross-functional teams to define and implement technical designs and development strategies- Support new feature development across multiple platforms and programming environments- Participate in code reviews, documentation, and knowledge-sharing initiatives- Engage with customers and internal stakeholders to resolve technical issues and provide guidance on integration best practices- Contribute to continuous improvement efforts by identifying process enhancements and automation opportunities- Skills and Experience you ll need Bachelor s degree in Computer Science or a related field- Proficiency in C++11/14, including Template Metaprogramming (TMP) and solid knowledge of the STL- Strong experience with Python 3- Proficient with version control systems, particularly Git- Excellent written and verbal communication skills- Demonstrated ability to work effectively within a geographically distributed and culturally diverse team- Strong work ethic and a positive, collaborative attitude- Familiarity with UML or similar modeling/design tools- Additional you ll need (At least one required) Windows (Win32) software development (Most important) C# and -NET platform development (Most important) IOS software development (Swift, Objective-C) Development experience in Scala Experience with API design Knowledge of application-level protocol design, implementation, and verification

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

Join our Team About this opportunity: Join us at Ericsson as a Senior Intelligent Automation and AI Engineer, in this exciting role you will have the chance to craft, build and modify automation applications/solutions. This role empowers you to elevate your programming prowess by writing, debugging, and executing the source code of the application. The continued enrichment of our existing applications will also be part of your responsibility. You will be branded a mentor lending a helping hand to Junior IAE team members on the path to professional growth. Our focus on a range of technologies such as RPA, Low Code, Python, and Shell Scripts will keep your skills constantly innovating. What you will do: - Analyze technical requirements and partake in documentation. - Develop and configure novel functions, codes, objects, and processes for the automation technology. - Perform unit tests, execute code reviews to ensure optimal quality and adherence to best practices. - Engage in Functional testing, User Acceptance Test (UAT) and defect resolution. - Conduct troubleshooting and system debugging. - Collaborate intimately with Technology Solution Designers/Architects to implement efficient and secure end-to-end solutions. The skills you bring: - Automation using Python. - Azure. - Agile Development. - Automation Concepts. - Bots. - Analytics Fundamentals. - Event Driven Programming. - Error Handling. - JavaScript. - AWS SDK. - Robotic Process Automation (RPA). - Unix scripting. - JSON. - HTML5 CSS3. - Application Design.

About this opportunity: Join us at Ericsson as a Senior Intelligent Automation and AI Engineer, in this exciting role you will have the chance to craft, build and modify automation applications/solutions. This role empowers you to elevate your programming prowess by writing, debugging, and executing the source code of the application. The continued enrichment of our existing applications will also be part of your responsibility. You will be branded a mentor lending a helping hand to Junior IAE team members on the path to professional growth. Our focus on a range of technologies such as RPA, Low Code, Python, and Shell Scripts will keep your skills constantly innovating. What you will do: - Analyze technical requirements and partake in documentation. - Develop and configure novel functions, codes, objects, and processes for the automation technology. - Perform unit tests, execute code reviews to ensure optimal quality and adherence to best practices. - Engage in Functional testing, User Acceptance Test (UAT) and defect resolution. - Conduct troubleshooting and system debugging. - Collaborate intimately with Technology Solution Designers/Architects to implement efficient and secure end-to-end solutions. The skills you bring: - Automation using Python. - Azure. - Agile Development. - Automation Concepts. - Bots. - Analytics Fundamentals. - Event Driven Programming. - Error Handling. - JavaScript. - AWS SDK. - Robotic Process Automation (RPA). - Unix scripting. - JSON. - HTML5 CSS3. - Application Design.

Job Title: Technical Business Analyst Location: Bengaluru Job Type: Full-time Experience: 3+ years Industry: SaaS / Reg Tech / Enterprise Tech Job Summary We are looking for a Technical Business Analyst to lead and manage end-to-end customer integrations for Contract360. You will be the bridge between client teams, internal engineering, product management, and QA owning the integration lifecycle from sales handover to production go-live. Your role will be critical in ensuring clients integrate smoothly with Contract360 APIs and SDKs, configuring product features to meet use-case needs, and ensuring timely and successful deployments. Key Responsibilities Integration Planning & Execution Act as the single point of contact for client integrations post-sales. Create and manage implementation plans, timelines, and milestones. Collaborate with client tech teams to assist in SDK/API integration, sandbox testing, and production readiness. Client Onboarding & Go-Live Drive requirement gathering and solutioning sessions with clients. Manage the onboarding lifecycle including configuration of stamping, signing, and workflows. Ensure timely go-live, monitoring SLAs and project health throughout. Technical Solutioning Translate client business requirements into product configurations or custom API flows. Coordinate with product/engineering teams on any change requests, enhancements, or escalations. Stakeholder Management Work cross-functionally with Product, QA, Engineering, Customer Success, and Sales Communicate progress, risks, and blockers transparently with internal and external stakeholders. Post Go-Live Support Support early adoption and transition to long-term support teams. Track post-go-live issues and ensure swift resolution. Qualifications & Skills Bachelor s degree in Engineering, Computer Science, or related fields. 3+ years of experience in product implementation / integration / project management roles. Strong understanding of API-based SaaS platforms; experience with REST APIs is a must. Experience with B2B enterprise onboarding, preferably in BFSI or RegTech domain. Excellent communication and stakeholder management skills. Ability to manage multiple parallel client integrations with a detail- and deadline-oriented mindset. Familiarity with digital signing (eSign), eStamping, or contract lifecycle management is a strong plus. PMP or Agile certification is an advantage. What s in it for You Be part of a fast-growing, product-first organization solving a mission-critical digitization problem for the Indian lending ecosystem. Opportunity to work on integrations that impact thousands of users and billions in loan disbursals. Flexible work environment and high ownership culture. Exposure to top banks, NBFCs, and fintechs in India. Apply Now Interested in building the digital infrastructure of tomorrow s contractsApply today and join us in driving transformation at scale.

Job Summary We are looking for a skilled and forward-thinking Mobile App Developer with 3 4 years of experience in Flutter and either Native Android (Kotlin) and basic iOS (Swift). The ideal candidate is not only a strong mobile developer but also demonstrates the ability to handle client communications, contribute to project coordination, and stay current with modern development tools, including AI-enhanced workflows. This role combines hands-on development with responsibilities typically associated with a Team Lead. Key Responsibilities Technical Responsibilities Design, develop, and maintain robust mobile apps using Flutter and native platforms (Kotlin/Swift). Ensure optimal performance, low memory usage, and high responsiveness across platforms. Collaborate with designers to create intuitive and visually appealing UIs. Integrate RESTful APIs, GraphQL, Firebase, and third-party SDKs. Write clean, testable, and maintainable code. Implement features such as push notifications, in-app purchases, and platform-specific services. Utilize version control systems (Git) for collaborative development. Handle deployments on Google Play Store and Apple App Store. Client & Project Coordination Attend and lead client calls, gather and translate requirements, and ensure timely updates. Work alongside the Project Manager to coordinate sprints, tasks, and team deliverables. Act as a communication bridge between clients, design, and dev teams. Essential Skills Hands-on experience in Flutter and Dart (minimum 3+ years). Strong proficiency in Kotlin or Swift for native mobile development. Expertise in state management: Provider, Riverpod, Bloc, or similar. In-depth knowledge of Firebase services (Firestore, Authentication, Messaging, etc.). Familiarity with API integration, app architecture, & debugging across platforms. Strong understanding of Material Design and Apple HIG. AI & Modern Tools Experience using AI-assisted development environments like GitHub Copilot, Codeium, or Cursor IDE. Ability to leverage AI tools for: Code completion and optimization API schema generation Automated testing and documentation Familiarity with prompt engineering basics and integration of AI/ML services (e.g., OpenAI, Firebase ML, or custom models) is a plus. Preferred Skills Native module development and platform-specific SDK integrations in Flutter. Familiarity with CI/CD tools like Codemagic, Bitrise, or GitHub Actions. Experience with SwiftUI, UIKit, or Jetpack Compose. Knowledge of unit testing, UI testing, and Agile methodologies. What We re Looking For A strong coder with an evolving project mindset. Comfortable in both technical deep-dives and client-facing conversations. Eager to explore and implement AI-powered productivity tools. Aspiring leader who wants to grow into a Project Manager role.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7- 10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.

About The Role PRIMARY SET Adobe launch/AEP WEB SDK, Adobe Analytics & Project Management (Must Have) Experience Level 7 -10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 6-7 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.