NET AI Lead

1 day ago

Ernakulam, India Velodata Global Pvt Ltd Full time

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.

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:

  • 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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