Job Description
The Engineering Manager for AI Insights at Affinity leads and scales a team responsible for developing AI features and services, driving technical strategy, and delivering scalable, reliable AI solutions to enhance customer experiences and support company growth.
Key Responsibilities
- Define and own the technical roadmap for AI feature development from ideation to production.
- Lead the design, development, deployment, and evaluation of AI models and features, including data engineering and model lifecycle management.
- Drive architecture decisions and improve distributed systems to enhance agility and reduce complexity.
- Provide technical leadership in architecture, design, and product discussions.
- Manage, mentor, and scale a high-performing ML engineering team, fostering career development and efficiency.
- Lead Agile processes such as sprint planning, standups, demos, and retrospectives.
- Contribute hands-on to platform development to support team delivery and ensure quality, performance, and reliability.
- Monitor and analyze the impact of AI features on customer outcomes and platform performance.
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
- Passion for contributing ideas to continuously improve the product and company
Benefits & Perks
Extended health benefit premiums covered for employee and dependents
Flexible personal sick days
RRSP retirement plan
Annual education budget and comprehensive learning and development program
Monthly reimbursement for home internet, meals, and wellness memberships
Virtual team-building activities and socials
Ready to Apply?
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