Role & responsibilities Lead end-to-end Android application development using Kotlin, Java, and native C/C++ (via JNI). Architect and maintain high-performance, scalable apps with clean and modular code structures (MVVM/MVC). Collaborate closely with Product, Design, Backend, and Hardware teams to define and implement features. Integrate native libraries and hardware components via JNI and Android NDK. Ensure performance optimization using tools such as logcat, adb, strace, gdb, and memory profilers.Work with REST/SOAP APIs to consume web services and manage data via JSON/XML. Develop background services and manage app lifecycle for real-time applications, including VoIP. Drive CI/CD, unit testing, instrumentation, and automated deployment. Mentor junior engineers and participate in code reviews and technical design discussions. Contribute to secure coding practices, encryption protocols, and enterprise mobility requirements. Package, sign, and distribute apps via managed Play Store, internal tools, or MDM platforms. Troubleshoot production issues on rugged or enterprise Android devices. Publish apps to Google Play Store and manage updates and release cycles. Preferred candidate profile 7+ years of experience in Android development with a strong foundation in Java and Kotlin. Strong understanding of Android SDK, Android Studio, Gradle, and mobile architectural patterns (MVVM, MVP). Proven experience with libraries and frameworks like Dagger, Retrofit, RxJava, Glide, EventBus. Deep knowledge of multithreading, memory management, and lifecycle-aware components. Experience working with RESTful APIs, background services, FCM/GCM notifications. Proficiency with Git or SVN for version control and collaborative development. Experience building and publishing production-grade Android apps (at least 2-3). Strong debugging skills using adb, logcat, and native tools. Exposure to enterprise-grade development, secure coding, and rugged hardware environments. Nice to have skills: Experience in voice application development in Android Experience with Android Enterprise, MDM/EMM platforms. Understanding of cryptographic modules and secure communication protocols. Experience with Google Analytics, Firebase, Jira. Exposure to audio/video streaming or VoIP technologies. Background in working with custom Android builds or hardware interfacing. Prior mentoring experience or team leadership is a strong plus.
Role & responsibilities Develop and maintain scalable, modular UI components using React.js, TypeScript, and ESNext. Design and implement responsive web pages and interfaces that meet product and accessibility standards. Collaborate closely with Product, Design, and Backend teams to define and deliver features. Integrate APIs and dynamic data sources using RESTful services and JSON. Optimize front-end performance using Chrome DevTools and profiling tools. Write and maintain unit and integration tests using Jest or Mocha. Drive UI code quality via code reviews, version control, and best practices. Stay updated with the latest UI frameworks, tools, and trends and incorporate them into team practices. Mentor junior developers and contribute to technical design discussions. Ensure cross-browser and cross-device compatibility for web applications. Preferred candidate profile 6+ years of experience in front-end/UI development using JavaScript (ES6/ESNext) and TypeScript. Strong expertise in React.js, Next.js, HTML5, CSS3, and Bootstrap. Experience working with REST APIs and building responsive web applications. Familiarity with modern development tools like Git, Chrome DevTools, and CI/CD pipelines. Proficiency in writing unit tests using Jest or Mocha. Understanding of browser rendering, web performance optimization, and accessibility best practices. Nice to have skills: Experience with CMS front-end development (AEM/Sitecore) and HTL scripting. Working knowledge of Angular or Java. Experience with Storybook, Cypress, or Playwright for UI testing and automation. Exposure to enterprise web development, secure coding, and SEO optimization.
Job description: We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc. Role & responsibilities: Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred candidate profile Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Bachelor's degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role
Job Description: We are seeking an experienced and analytical Senior Data Analyst to join our team. This role involves leading data-driven initiatives, transforming complex data into actionable business insights, and supporting strategic business decisions. You will collaborate closely with management and cross-functional teams to develop robust data models, uncover trends, and optimize organizational performance Key Responsibilities: Analyze large, complex datasets to identify trends, patterns, and generate actionable business insights Collaborate with stakeholders to identify pain points, discover new business opportunities, and develop effective reporting solutions Partner with the AI team to deploy AI-powered analytics solutions Lead deep-dive data analyses to support business strategies Ensure data accuracy and integrity across multiple systems and platforms Communicate findings clearly to both technical and non-technical audiences Basic Requirements: Bachelor's or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or a related field 3+ years of experience in a data analyst or similar role, preferably in a fast-paced, data-driven environment Exceptional analytical, conceptual, and problem-solving abilities Strong proficiency in SQL Data Analytics tools Hands-on experience with data visualization tools (e.g., Tableau) Strong verbal and written communication skills with an ability to explain complex concepts clearly Experience with customer support and operational procedures is a plus Self-motivated and able to work independently as well as in a team environment