Data Scientist

AI Engineer

Strong experience in Python development (mandatory) Hands-on experience in AI/ML development & agentic AI frameworks Expertise in Azure Cloud (IoT Hub, Event Hub, Stream Analytics) Experience with data engineering & streaming pipelines Knowledge of SCADA, MES, Industrial Historians Strong understanding of SQL & NoSQL databases and performance optimization Familiarity with cloud platforms (Azure / AWS / GCP) Experience in authentication, authorization, and secure system design Proficiency in Git/GitHub and CI/CD practices Experience in pharmaceutical, life sciences, or manufacturing environments preferred Knowledge of OT–IT integration and Industry 4.0 concepts Familiarity with GxP compliance and regulated environments is a strong advantage Strong analytical, problem-solving, and debugging skills Excellent communication and stakeholder management abilities Design, develop, and deploy AI/ML solutions for pharmaceutical and manufacturing use cases Build end-to-end data pipelines (batch & real-time) from SCADA, MES, and historians to cloud platforms Implement agentic AI architectures and intelligent workflows Work with Azure services such as IoT Hub, Event Hub, and Stream Analytics Design scalable data models and schemas across SQL and NoSQL databases Ensure secure, reliable, and high-performance systems (AuthN/AuthZ, scalability, resilience) Develop and maintain technical documentation (architecture diagrams, workflows, specifications) Follow DevOps best practices including Git/GitHub, code reviews, and CI/CD pipelines Collaborate with cross-functional teams including data engineers, architects, and business stakeholders