Artificial Intelligence Architect

Job Description:

  • Design and Implement Artificial Intelligence and Data Science solutions on Cloud at enterprise scale.
  • Contextual understanding of customer requirements with visions, strategies, and roadmaps for implementation.
  • Collaboration with solution architects, business analysts and partner architects/stakeholders in Global Delivery model for AI Solution development.
  • Play a key role in defining AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
  • Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement
  • Understand the workflow and pipeline architectures of ML and Deep Learning workloads.
  • Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).
  • Hands-on programming skill on at least one language – C#.net or node.js or python.
  • – Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components.
  • Contextual Conversation design (Azure BOT service/Amazon Lex/ Google Dialog flow) – for personalized and humanized interaction with end user for complex business cases.
  • Natural Language Processing model – design, training and publishing for multiple languages.
  • Custom Speech model – Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocab.
  • Computer vision – OCR, Face Recognition, Custom model for Object detection and classifications.
  • Document/Form Entity Extraction.
  • Cognitive Search on heterogeneous unstructured data.
  • Enterprise Channel Integration for AI.
  • Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes.
  • Azure/ AWS/ GCP/ Watson certifications on AI & Data Science like AI 102, DP 100.

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