Top Tech Jobs & Startup Jobs

As a Senior Business Analyst, you'll gather business requirements, run workshops, analyze processes, manage risks, and ensure project quality in a manufacturing domain.

Design, develop, deploy, and scale enterprise AI and machine learning solutions, including predictive models, recommendation engines, automation, and model-serving APIs. Build data pipelines and MLOps workflows, monitor model performance and drift, troubleshoot production systems, and implement responsible AI practices. Collaborate with technical and business stakeholders, contribute to architecture and code reviews, and mentor junior engineers while applying cloud-native technologies.

Design, build, and maintain secure enterprise ASP.NET Core applications using .NET 8, Razor Pages, MVC, Azure, Entra ID, EF Core, and SQL Server. Own web development, identity integration, data access, cloud workflows, error handling, logging, configuration, scalability, security, and performance optimization. Translate stakeholder requirements into reliable technical solutions and independently manage solution design and delivery.

Designs, develops, and optimizes Salesforce Commerce Cloud headless commerce solutions. Responsibilities include backend development for storefront, checkout, order lifecycle, promotions, catalog, pricing, custom cartridges, APIs, and third-party integrations. The role leads technical architecture, performance optimization, code reviews, CI/CD support, production troubleshooting, and collaboration with frontend, QA, product, architecture, and integration teams.

Develop and enhance full-stack enterprise applications using C#/.NET, ReactJS, and SQL. Responsibilities include designing modules, building user interfaces, managing databases, writing unit tests, debugging, resolving defects, improving code quality, supporting migrations, maintaining technical documentation, and collaborating with project and technical teams. The role also involves using GitHub Copilot agentic capabilities and SpecKit to improve development productivity.

Conducts stakeholder workshops, gathers and documents business and functional requirements, analyzes current and future processes, identifies improvement opportunities, and develops process and requirements artifacts. Supports medicine demand forecasting, inventory optimization, supply planning, allocation, data requirements, KPI dashboards, UAT, defect tracking, and implementation. Bridges business, supply chain, logistics, and technology teams across Agile or Waterfall projects.

Test and validate end-to-end PIM workflows, data ingestion/enrichment, API and database integrations, and outbound catalog syndication. Create and execute test plans (functional, regression, integration, exploratory, security), manage defects, automate API and regression tests, collaborate with stakeholders, and support UAT and release validation.

Develop, validate, and deploy machine learning and AI solutions using enterprise datasets. Perform EDA, feature engineering, predictive modeling, model evaluation, data pipeline construction, and visualization. Collaborate with engineers and business stakeholders to deliver production-ready analytics and dashboards, and research emerging AI techniques.

Design, build, deploy, and maintain production-grade machine learning models and end-to-end pipelines. Perform feature engineering, model evaluation, optimization, REST API deployment, monitoring, and automated retraining. Collaborate with cross-functional teams to translate business requirements into scalable, reliable ML services using cloud, containerization, and CI/CD practices.

Design, develop, train, deploy, and maintain production-grade AI/ML solutions. Build predictive, classification, recommendation, and automation systems; prepare and feature-engineer data; create scalable model-serving APIs; deploy with containers and CI/CD; monitor model performance and drift; apply Responsible AI principles; collaborate with product, engineering, and stakeholders in Agile delivery.