AI Engineer

Strong hands-on experience in Python development (mandatory) Experience in AI/ML solution development Hands-on expertise in Azure Cloud services (IoT Hub, Event Hub, Azure ML, Stream Analytics) Experience with data engineering (batch & streaming pipelines) Knowledge of industrial systems: SCADA, MES, Historians Strong understanding of SQL and NoSQL databases Experience in data modeling, performance tuning, and optimization Knowledge of security best practices (AuthN/AuthZ) Familiarity with cloud platforms (Azure/AWS/GCP) and distributed systems Proficiency in Git/GitHub and CI/CD pipelines

Design, develop, and test end-to-end AI solutions for pharmaceutical use cases Build and manage batch and real-time data pipelines integrating SCADA, MES, and industrial historians with cloud platforms Work with Azure services such as IoT Hub, Event Hub, Azure ML, and Stream Analytics Develop scalable and efficient data models, schemas, and pipelines across SQL and NoSQL systems Implement secure and reliable architectures ensuring authentication, authorization, scalability, and cost-efficiency Follow best development practices including Git/GitHub (branching, code reviews, CI/CD) Create and maintain architecture diagrams, workflows, and technical documentation Collaborate with cross-functional teams including engineering, data, and business stakeholders

Experience in pharma, life sciences, or manufacturing environments Exposure to OT–IT integration and industrial data flows Familiarity with GxP regulations, compliance, and enterprise data governance frameworks