Net AI Lead Architect Job location Kochi Budget 30-40L leads architects based on role and experience Experience- 10 yrs Candidates should be good to communicate and presentable Stable profiles no job hoppers We are seeking a highly skilled and visionary NET AI Lead Architect to lead the design development and integration of AI-powered solutions within our enterprise NET applications This role requires a deep understanding of NET architecture and hands-on experience in integrating artificial intelligence and machine learning models into scalable secure and performant applications Key Responsibilities Design Architect end-to-end NET solutions with integrated AI ML components e g predictive models NLP computer vision recommendation engines Collaborate with data scientists and ML engineers to integrate trained models TensorFlow PyTorch ONNX etc into NET-based production environments e g via APIs containers or embedded libraries Define and drive AI integration strategies including model serving inferencing pipelines and continuous learning mechanisms Lead the development of microservices-based architectures with AI-driven services using NET Core C and Azure AWS services Ensure security scalability and performance of AI-enhanced solutions Stay up to date with emerging trends in AI and NET ecosystem and bring cutting-edge ideas to the team Mentor developers on best practices in AI integration and NET architectural design Collaborate with stakeholders to translate business requirements into technical designs involving intelligent automation Required Skills Qualifications Bachelor s or Master s degree in Computer Science Engineering or related field 10 years of experience in software architecture and development using NET NET Core C 3 years of hands-on experience integrating AI ML solutions into enterprise applications Strong understanding of ML lifecycle model deployment e g REST APIs ONNX Runtime Azure ML and inferencing in NET applications Good working experience in front end technologies like Angular Experience with cloud platforms Azure preferred AWS or GCP acceptable especially AI-related services Azure Cognitive Services AWS SageMaker etc Proficiency in containerization and orchestration technologies like Docker and Kubernetes Experience in DevOps and CI CD pipelines for AI ML deployment Familiarity with ML frameworks e g TensorFlow PyTorch Scikit-learn and data handling in enterprise environments Strong understanding of software architecture patterns microservices event-driven domain-driven design DDD etc Excellent problem-solving communication and leadership skills

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