.Net Architect

2 weeks ago

Kochi, India Velodata Global Pvt Ltd Full time

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 innovative 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 :- Bachelors or Masters 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, ML.NET), 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. (ref:hirist.tech)

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