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Lead.Net Developer - AI / ML Solutions

Lead.Net Developer - AI / ML Solutions

Velodata Global Pvt LtdCochin
8 days ago
Job description

About the job :

We are seeking a visionary .NET AI Lead / Architect to design and deliver AI-powered enterprise solutions on the .NET ecosystem. This role requires a blend of deep .NET architectural expertise and hands-on AI / ML integration skills, along with leadership to guide teams and stakeholders.

Key Responsibilities :

  • Architect & Design end-to-end .NET solutions with integrated AI / ML components (predictive analytics, NLP, computer vision, recommendation engines, etc.).
  • Collaborate with data scientists / ML engineers to deploy models (TensorFlow, PyTorch, ONNX, ML.NET) into scalable .NET applications.
  • Define AI integration strategies : model serving, inferencing pipelines, continuous learning mechanisms.
  • Lead microservices-based architectures using .NET Core, C#, Azure / AWS cloud services.
  • Ensure solutions meet enterprise-grade scalability, performance, and security standards.
  • Stay ahead of trends in .NET and AI to bring innovation into enterprise systems.
  • Mentor and guide development teams in AI integration and modern .NET architectural practices.
  • Partner with business stakeholders to translate requirements into intelligent, automated solutions.

Required Skills & Qualifications :

  • Bachelors / Masters degree in Computer Science, Engineering, or related field.
  • 10+ years in software architecture and development with .NET / .NET Core (C#).
  • 3+ years integrating AI / ML solutions into enterprise applications.
  • Strong knowledge of ML lifecycle, deployment, and inferencing (REST APIs, ONNX Runtime, Azure ML, ML.NET).
  • Hands-on with front-end frameworks (Angular) and cloud platforms (Azure preferred; AWS / GCP acceptable).
  • Expertise in containerization & orchestration (Docker, Kubernetes).
  • DevOps / CI-CD exposure for AI / ML model deployment pipelines.
  • Familiarity with AI / ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of architecture patterns : microservices, event-driven, domain-driven design (DDD).
  • Excellent communication, leadership, and presentation skills.
  • (ref : hirist.tech)

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