Jobs 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.

Develop and maintain .NET and .NET Core applications, build RESTful APIs, and design, deploy, and manage solutions on Microsoft Azure. Integrate databases and external services, write testable code, troubleshoot performance issues, and collaborate with QA, UI/UX, and product teams in Agile/Scrum ceremonies. The role also involves Azure services including App Services, Functions, Azure SQL, Storage, and Key Vault, with optional CI/CD, Docker, infrastructure-as-code, monitoring, and AWS experience.

Design, deploy, and maintain scalable machine learning systems on GCP. Build training and inference pipelines, automate CI/CD and model deployment with Vertex AI, manage model versioning and rollouts, monitor drift and performance, and support production troubleshooting. Collaborate with data scientists, engineers, and stakeholders to operationalize models, improve platform reliability, and document production-ready workflows.

Develop and maintain scalable full-stack applications using React.js, TypeScript, and Java. Build APIs and gRPC services, design SQL data models, integrate OpenAI capabilities, and deploy cloud-based solutions on Azure and AWS. Implement Terraform infrastructure, maintain CI/CD pipelines, use Git for version control, and develop automated tests with Playwright. Collaborate with cross-functional teams to deliver features and improve existing systems.

Designs, develops, and maintains scalable full-stack web applications using Node.js, Python, Angular, or React. Builds backend services and RESTful APIs, integrates third-party services, works with relational and NoSQL databases, performs testing and code reviews, deploys to cloud environments, and troubleshoots application performance issues while collaborating with UI/UX, DevOps, and QA teams.