Job Description
An Engineering Manager for the AI Platform at Affinity leads and scales a team responsible for developing AI features and services, shaping technical strategy, and delivering scalable, reliable AI solutions to enhance customer experiences and drive company growth.
Key Responsibilities
- Define and own the technical roadmap for AI feature development from ideation to production.
- Lead architecture, design, and implementation of AI features and services, including data processing, model deployment, and observability.
- Drive technical decisions and advance distributed systems architecture to improve platform agility and reduce complexity.
- Manage, mentor, and scale a high-performing ML engineering team, fostering career development and efficiency.
- Coordinate cross-team collaboration to deliver scalable, reliable AI capabilities through rapid development cycles.
- Contribute hands-on to platform development to support team delivery and ensure quality and performance of AI solutions.
Requirements
- 8 years in software engineering and machine learning roles, building and delivering scalable applications with large data volumes in cloud environments AWS, Azure, or GCP, with focus on NLP and or Computer Vision
- 3 years in engineering management, providing formal mentorship and coaching
- Proven experience as an engineer bringing ML products to production or as an Applied Machine Learning Engineer
- Experience working with distributed systems at scale, consuming high volumes of data in batch or real-time for the purpose of building AI data sets
- Experience working with complex SaaS platforms
- Track record of managing technical roadmaps to improve platform performance, reliability, and drive toward a technical vision
- Demonstrated success mentoring junior engineers and advancing their careers
- Excellent communication skills with the ability to influence across functions
- Strong examples of collaborating with UX engineers, application developers, and product managers to influence roadmaps, UX decisions, and feature prioritization
Benefits & Perks
Health Benefits: Extended health benefit premiums covered for employee and dependents, flexible personal sick days
Retirement Planning: RRSP plan
Learning Development: Annual education budget and comprehensive learning and development program
Wellness Support: Monthly reimbursements for home internet, meals, wellness memberships, and equipment
Team Connection: Virtual team-building activities and socials
Salary Range: 200,000 to 250,000 CAD
Ready to Apply?
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