Teams at Cognine Technologies

Build predictive and customer-satisfaction models, translate business questions into analytics projects, and develop production-grade machine learning solutions. Collaborate with data scientists and stakeholders, communicate analytical insights, and work with R, Python, Hadoop, Redshift, Spark, Azure, Azure ML, Terraform, and CI/CD pipelines. Preferred work includes PyTorch and image-model development and deployment.

Develop and customize Microsoft Dynamics 365 Sales and Power Platform solutions, including PowerApps, Power Automate flows, JavaScript customizations, plugins, integrations, data migrations, and CI/CD deployments. Integrate CRM with Workday, marketing platforms, and other systems. Manage Azure-hosted applications, troubleshoot production issues, support release planning, and collaborate with business and technical stakeholders. Build AI copilots using Microsoft Copilot Studio and apply modern AI-assisted development practices.

Design, develop, and maintain scalable batch and real-time data pipelines using Python and PySpark. Build cloud-based data processing solutions, CI/CD pipelines, and streaming systems while ensuring data quality, performance, and scalability. Collaborate with cross-functional teams to translate business requirements into reliable data architectures. The role involves technologies including Kafka, Flink, Kubernetes, Hadoop, Spark, MongoDB, and cloud platforms such as Azure, AWS, or GCP.