Lead Dotnet Developer

2 days ago

Ernakulam, India Velodata Global Pvt Ltd Full time

Job Title: .NET AI Lead / Architect

Location: Cochin Special Economic Zone, Kerala

Experience: 10+ years

Budget: ₹30–40 LPA (based on role & experience)

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

Bachelor's/Master's 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.

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