Looking for an experienced Technical Lead for Computer Vision to lead the design, implementation, validation, and deployment of Computer Vision solutions across AstraZeneca manufacturing environments. The role requires a combination of solid hands-on Computer Vision expertise, experience in manufacturing and industrial environments, knowledge of GMP/GxP and validation requirements, and strong technical leadership capability.

The successful candidate will lead end-to-end delivery of Computer Vision solutions for use cases such as defect detection, inspection, OCR, verification, anomaly detection, and process monitoring, while ensuring solutions are scalable, maintainable, secure, and compliant. The role also requires strong understanding of the broader technology landscape, including computer vision, data engineering, and software engineering, to enable robust production grade solutions across manufacturing sites.

Pharma manufacturing with GMP Validation experience is highly preferred. Key Qualifications

- 10+ years of experience in Computer Vision, AI/ML, Software Engineering, or Industrial Automation, with at least 5 years delivering production-grade vision solutions.
- Strong expertise in Computer Vision and Deep Learning, including defect detection, object detection, OCR, image classification, segmentation, and anomaly detection.
- Hands-on experience with Python, OpenCV, PyTorch, TensorFlow,



and modern AI/ML frameworks.
- Proven ability to lead the end-to-end delivery lifecycle, from use case discovery and solution design to deployment and operational support.
- Experience implementing solutions within manufacturing, industrial, or shop-floor environments.
- Strong understanding of machine vision systems, industrial cameras, quality inspection, and process monitoring.
- Experience integrating solutions with MES, SCADA, Historians, PLCs, and manufacturing data platforms.
- Knowledge of software engineering best practices, including APIs, CI/CD, Docker, Kubernetes, and cloud-native architectures.
- Demonstrated technical leadership, stakeholder management, and team mentoring capabilities.
- Experience working within regulated environments with a solid understanding of GMP, GxP, GAMP5, CSV, and IQ/OQ/PQ validation processes.
- Exposure to Azure, AWS, Databricks, MLOps, and Edge AI is highly desirable.
- Excellent communication skills with the ability to bridge business, manufacturing, quality, and technical teams.

Preferred Candidate Profile A hands-on Technical Lead or Principal Engineer who has successfully deployed Computer Vision solutions in pharmaceutical or highly regulated manufacturing environments and can drive initiatives from concept through validation to global production rollout.

📌 Technical Lead - Computer Vision engineers with Manufacturing Site experience or Quality Check experience (India)
🏢 Cognizant
📍 India