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.Net Architect - C# Programming

.Net Architect - C# Programming

Velodata Global Pvt LtdKochi
21 days ago
Job description

About the job :

Job Title : .NET AI Lead / Architect

Location : Cochin Special Economic Zone, Kerala

Experience : 10+ years

Employment Type : Full-time | Onsite

About the Role :

We are seeking a highly skilled and visionary .NET AI Lead / Architect to design, build, and lead the integration of AI-powered solutions within enterprise-grade .NET applications. The ideal candidate will combine deep expertise in .NET architecture with hands-on experience in AI / ML integration, driving innovation and scalability in next-generation intelligent applications.

Key Responsibilities :

  • Architect and design end-to-end .NET solutions with integrated AI / ML components (predictive models, NLP, computer vision, recommendation systems).
  • Collaborate with data scientists and ML engineers to integrate models (TensorFlow, PyTorch, ONNX, ML.NET) into .NET production environments.
  • Define and implement AI integration strategies, including model deployment, inferencing pipelines, and continuous learning mechanisms.
  • Lead the development of microservices-based architectures with AI-driven services using .NET Core, C#, and Azure / AWS cloud services.
  • Ensure security, performance, and scalability of AI-enhanced enterprise applications.
  • Stay updated with emerging trends in .NET, cloud, and AI / ML technologies to drive innovation.
  • Mentor development teams on .NET architectural best practices and AI integration approaches.
  • Collaborate with business stakeholders to translate requirements into intelligent, automated solutions.

Required Skills & Qualifications :

  • Bachelors / Masters in Computer Science, Engineering, or related field.
  • 10+ years of experience in software architecture & development using .NET / .NET Core (C#).
  • 3+ years of proven experience in AI / ML solution integration within enterprise applications.
  • Strong knowledge of ML lifecycle and model deployment (REST APIs, ONNX Runtime, Azure ML, ML.NET).
  • Hands-on experience with cloud AI services (Azure Cognitive Services, AWS SageMaker, etc.).
  • Proficiency in containerization & orchestration (Docker, Kubernetes).
  • Experience with DevOps / CI-CD pipelines for AI / ML deployments.
  • Familiarity with front-end technologies (Angular preferred).
  • Strong understanding of enterprise architecture patterns (microservices, DDD, event-driven).
  • Excellent problem-solving, communication, and leadership skills.

    • (ref : hirist.tech)

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