Develop and maintain C# WinForms desktop applications for seller account management. Integrate Amazon and other eCommerce platform APIs to automate seller operations. Work with SQL Server to handle large-scale data transactions efficiently. Implement inventory, order, and account management features. Optimize database queries and application performance. Troubleshoot and resolve bugs to ensure smooth application functionality. Collaborate with the team to enhance features and ensure application security. Required Skills: Proficiency in C# .NET Framework (WinForms/WPF) Strong SQL Server skills (efficient queries, stored procedures) API integration experience (Amazon Seller API, eCommerce platforms, third-party APIs) Multi-threading & performance optimization in C# Experience with Windows Services & background jobs Understanding of UI/UX best practices for desktop applications Preferred Skills (Nice to Have): Experience with Azure cloud storage Familiarity with Entity Framework & LINQ Experience using logging frameworks (Serilog, NLog, etc)

Role & responsibilities: Looking for 5 to 8 years experience of ML Engineer with strong Azure Cloud DevOps with even stronger DABs DevOps skills with even stronger DABs Databricks Asset Bundles implementation knowledge. 1 Azure Cloud Engineer 2 Azure DevOps CICD experienced in DABs 3 ML Engineer for deployment Translate business requirement into technical solution Implementation of MLOPS Scalable solution using AIML and reduce the risk of Fraud and other fiscal crisis Creating MLOPS Architecture and implementing it for multiple models in a scalable and automated way Designing and implementing end to end ML solutions Operationalize and monitor machine learning models using high end tools and technologies Design implementation of DevOps principles in Machine Learning Data Science quality assurance and testing Collaborate with data scientists engineers and other key stakeholders Preferred candidate profile: Azure Cloud Engineering Design implement and manage scalable cloud infrastructure on Microsoft Azure Ensure high availability performance and security of cloud based applications Collaborate with cross functional teams to define and implement cloud solutions Azure DevOps CICD Develop and maintain CICD pipelines using Azure DevOps Automate deployment processes to ensure efficient and reliable software delivery Monitor and troubleshoot CICD pipelines to ensure smooth operation DABs Databricks Asset Bundles Implementation Lead the implementation and management of Databricks Asset Bundles Optimize data workflows and ensure seamless integration with existing systems Provide expertise in DABs to enhance data processing and analytics capabilities Machine Learning Deployment Deploy machine learning models into production environments Monitor and maintain ML models to ensure optimal performance Collaborate with data scientists and engineers to integrate ML solutions into applications.