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Product Developer (AI Focused)

SSI
Victoria, CAN
Mid
Onsite
Discovered Yesterday

Full Job Posting

Duties and Responsibilities

  • Uphold and demonstrate SSI’s guiding principles in all business activities.
  • Represent ShipConstructor Software Inc. professionally and provide excellent service to internal and external customers.
  • Take initiative, be proactive, and contribute positively within and beyond your team.
  • Clarify requirements and expectations to ensure a thorough understanding of assigned work.
  • Design, develop, test, and maintain software in accordance with SSI coding standards and development guidelines.
  • Identify, troubleshoot, and resolve software defects, performance issues, security concerns, and other technical problems.
  • Complete assigned tasks within agreed timelines and budgets, escalating risks or variances promptly.
  • Document technical issues, resolutions, and development decisions for future reference.
  • Research, evaluate, and recommend tools, technologies, and process improvements that enhance software quality and team productivity.
  • Contribute to the creation, maintenance, communication, and enforcement of development standards and best practices.
  • Demonstrate leadership through collaboration, knowledge sharing, and effective participation in team meetings and discussions.
  • Plan, prioritize, and execute work efficiently with minimal supervision.
  • Perform other duties and responsibilities as assigned.
  • What we look for:
  • Degree in Computer Science, Software Engineering, or related discipline
  • Solid experience in software development with a focus on backend or systems engineering
  • Proficiency in programming languages such as Python, C#, or C++
  • Experience designing and building scalable, distributed systems
  • Experience with AI/ML infrastructure or MLOps tooling (e.g., MLflow, Kubeflow, Azure ML)
  • Great to have:
  • Exposure to data engineering frameworks and streaming technologies
  • Experience working with large datasets, ideally in engineering or CAD-related domains
  • Knowledge of containerization (Docker) and orchestration (Kubernetes)
  • Familiarity with spatial data and CAD systems
  • Please note: The successful candidate must be located in Canada and have Canadian citizenship or hold a valid Canadian Permanent Residency.

Qualifications

  • Experience with AI/ML infrastructure or MLOps tooling (e.g., MLflow, Kubeflow, Azure ML)
  • Familiarity with spatial data and CAD systems

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