AI/ML Solution Architect

4 weeks ago

Old Toronto, Ontario, Canada Nexus Systems Group Inc. Full time
Key Responsibilities

As a seasoned AI/ML Solution Architect, you will be responsible for analyzing complex business requirements and generating technical specifications to design or redesign complex software components and applications. Your expertise in building, architecting, designing, and creating transformation plans to modernize legacy systems to highly distributed global-based systems will be invaluable to our team.

Key Skills
  1. 10+ years of software engineering/data engineering experience in the financial industry
  2. Deep understanding of risk management practices and industry trends on risk management solutions.
  3. Experience in building systems in Google Cloud with cloud-native components with large data sets.
  4. Experience building, architecting, designing, and implementing highly distributed global-based systems. Experience in network infrastructure, security, data, or application development.
Nice-to-Have Skills
  1. Good understanding of risk management function and capital management function.
  2. Experience of architecting a technology solution that will implement the trusted governance framework, policies, and workflows.
  3. Experience with structured architecture practices, hybrid cloud deployments, and on-premise to-cloud migration deployments and roadmaps.
  4. Sound knowledge of various operating systems, databases, and technologies.
  5. Ability to create designs and reference architectures for enterprise.
  6. Been responsible for the implementation of a trusted governance model where architecture assessments are automated based on enterprise standards and policies.
  7. Proven work experience as a Solution Architect or similar role.
  8. Previous project management or business SME/architect experience is an asset.
  9. In-depth understanding of coding languages and logic structures.
  10. Disciplined in development methodology and familiar with software development technologies and concepts. Practical experience with systems design and specification for large-scale applications.

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