AI Engineer

We are seeking a skilled AI Developer to design, build, and deploy AI-driven solutions for pharmaceutical and manufacturing use cases. The role involves working across AI/ML, cloud platforms (Azure/AWS/GCP), and industrial data systems (SCADA, MES, Historians) to enable scalable and secure intelligent solutions.
This position requires strong expertise in Python, Azure cloud services, and data engineering, along with an understanding of OT–IT integration and regulated environments (GxP).

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

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

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

Education: Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology

• Preferred skills: Technology->AI Engineering->AI/ML Solution Architecture and Design,Technology->Physical AI->Azure IoT,Technology->Open System->Python
• Open System,Technology->Industrial IOT Embedded Software->MES