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.NET AI Lead / Architect

10 years

0 Lacs

kochi kerala india

Posted:9 hours ago| Platform: Linkedin logo

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Skills Required

.net ai design development integration architecture learning ml vision data tensorflow pytorch onnx drive model microservices azure aws security scalability engineering software deployment rest ml.net gcp sagemaker containerization orchestration docker devops communication leadership

Work Mode

On-site

Job Type

Full Time

Job Description

Job Description

.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.


.NET AI Lead/ Architect

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:

  • 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, 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.

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