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AI Software Lead
AI Software LeadIronbelly Studios • Waterloo, Ontario, Canada
AI Software Lead

AI Software Lead

Ironbelly Studios • Waterloo, Ontario, Canada
Il y a 10 jours
Type de contrat
  • Temps plein
Description de poste

Musashi AI North America, Inc. is a growing hardware and software focused company that builds smart vision solutions for quality assurance in manufacturing environments. Based in Waterloo, Ontario, Musashi AI North America employs a talented and dynamic team of R&D and Applications Engineers who lead design, prototyping, and testing efforts to drive new technology development, build innovative products, and support our deployed solutions.

The AI Team Lead , responsible for prioritizing team tasks, defining growth plans, and ensuring high team performance, will lead the development, deployment, integration, and ongoing maintenance of AI / ML solutions across the organization. This role focuses on transitioning AI / ML research and prototypes into robust, scalable production systems while ensuring continuous operation, performance optimization, and adaptability to evolving business needs. As a team lead, you will be both a hands-on contributor and strategic leader , managing a high-performing team of AI / ML engineers. You will be responsible for setting the technical direction and AI strategy , prioritizing tasks , defining team structure , establishing KPIs , and driving team growth and development . The role will be roughly 30% leadership and 70% hands-on , balancing technical execution with leadership and mentoring responsibilities. The team lead will collaborate with cross-functional teams including optics, electrical and robotics, and dashboard analytics, and will influence strategic initiatives that drive cost reduction, productivity improvements, and long-term value.

Reports to : Director of Engineering

Qualifications :

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Math, or a related field. Preferably P.Eng or master's in Computer Science, Software Engineering.
  • 10+ years of experience designing, deploying, and maintaining AI / ML solutions in production environments, including 5+ years in technical leadership or architecture roles.
  • Deep experience with state-of-the-art computer vision algorithms and their real-world applications.
  • Proficiency in Python, C, C++, and libraries such as OpenCV and CUDA.
  • Expertise with frameworks such as TensorFlow and / or PyTorch.
  • Experience productizing ML models with tools like CUDA, TensorRT, TFLite, and model quantization.
  • Strong understanding of edge computing technologies (e.g., Nvidia GPUs) and cloud computing platforms.
  • Experience with CI / CD pipelines and MLOps practices for deploying and updating ML systems.
  • Proven ability to create, manage, and deploy deep learning datasets for computer vision tasks.
  • Experience in industrial automation, automated inspection systems, or robotics is a strong asset.
  • Strong mathematical, analytical, and problem-solving skills.
  • Demonstrated ability to lead, mentor, and collaborate effectively in a team environment.

Job Responsibilities :

This role combines both strategic leadership and hands-on execution . To make the blend of responsibilities clear, they are grouped together below, showing how the AI Team Lead balances direction setting, team management, and direct technical contributions.

Strategic Leadership

  • Ability to drive measurable business outcomes and communicating impact to leadership.
  • Define the technical direction and long-term AI / ML strategy for Musashi AI North America.
  • Provide strategic guidance on project planning, cost, risk management, and deployment feasibility.
  • Define team structure, establish performance KPIs, and drive growth strategies for the AI / ML team.
  • Prioritize engineering efforts and balance workloads across projects to meet key milestones.
  • Present project updates, performance metrics, and future plans to internal stakeholders and leadership.
  • Operational & Hands-On Execution

  • Lead the end-to-end deployment and integration of AI / ML models into production systems with a focus on scalability, performance, and robustness.
  • Translate computer vision research and IP into production-ready, maintainable systems.
  • Oversee maintenance and performance monitoring of deployed systems, ensuring minimal downtime and continuous improvement.
  • Define and test models against production metrics and business KPIs.
  • Conduct applied research to support product development and troubleshoot production issues.
  • Monitor and evaluate new trends and technologies in AI / ML to guide internal strategy and tool adoption.
  • Mentor junior engineers and drive team growth through recruitment, training, and performance development, fostering best practices across AI / ML and engineering teams.
  • Travel to client and Musashi locations as needed for project execution and collaboration.
  • Preferred Skills :

  • Experience with system monitoring, alerting, and observability tools for production AI.
  • Understanding of cybersecurity best practices for ML systems in industrial environments.
  • Personal Attributes :

  • Creative and analytical thinker with a proactive and solution-oriented mindset.
  • Strong time management and organizational skills.
  • Confident communicator who can convey complex technical ideas across teams.
  • Professional, mature, and composed under pressure.
  • Initiative-driven and comfortable leading through ambiguity.
  • Collaborative and respectful team member who uplifts peers and contributes to team culture.
  • Musashi AI North America Expectations :

  • Uphold company values, policies, and ethical standards.
  • Be a champion of the Musashi Philosophy and 5S principles.
  • Maintain adherence to all safety protocols and procedures.
  • Contribute to the achievement of company and departmental goals.
  • Engage constructively with peers and cross-functional collaborators.
  • Please note : This job description is not exhaustive. Duties and responsibilities may change at any time based on business needs.

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