Lead Product Engineer

3 weeks ago


Toronto, Ontario, Canada Fusemachines Full time
About Fusemachines

Fusemachines is a leading provider of AI strategy, talent, and education services and products. With a presence in multiple countries and a team of over 400 employees, we aim to democratize AI and bring our global expertise to transform companies worldwide.

Job Description

We are seeking a Lead Product Engineer with strong software engineering experience and some experience with Machine Learning (ML)/ML Operations (MLOps) to spearhead our engineering initiatives for a new product line. The ideal candidate will have a deep understanding of Enterprise Software architecture, design patterns, and modern programming languages, as well as a strong foundation in machine learning algorithms, data modeling, and MLOps practices.

Responsibilities:
  1. Engineering Excellence: Oversee the development, scaling, and optimization of our ML platform and other products while ensuring the software engineering foundations are solid, scalable, and maintainable.
  2. ML/MLOps Innovation: Guide the team in adopting and innovating in machine learning model development, deployment, monitoring, and management.
  3. Software Development Leadership: Champion best practices in software development, including design patterns, code quality, security, and performance.
  4. Team Building and Mentorship: Lead, mentor, and support a diverse distributed engineering team of software developers, ML engineers, and data engineers.
  5. Cross-functional Collaboration: Serve as a bridge between the ML/MLOps and software engineering teams, ensuring tight integration and collaboration.
Qualifications:
  1. Experience: At least 8+ years of technology experience, with leadership roles managing teams that specialize in both ML/MLOps and core software engineering.
  2. Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages, as well as a strong foundation in machine learning algorithms, data modeling, and MLOps practices.
  3. Leadership and Vision: Proven ability to lead, inspire, and grow multidisciplinary engineering teams.
  4. Collaborative Skills: Excellent communication and collaboration skills, capable of fostering positive relationships across engineering teams and with other business units.
  5. Education: Advanced degree in Computer Science, Engineering, or a related field.

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