Join a team where AI isn't a buzzword-it's the engine of our success. We're looking for a technical leader to bridge the gap between research and reality, productizing sophisticated models that scale. At Movable Ink, you'll advance a world-class ML Platform in a fast-paced environment where every release makes a global impact. If you're ready to shape the intersection of digital marketing and artificial intelligence, this is your next challenge.
Responsibilities:- Deploy robust, commercial-grade AI products that redefine client expectations.
- Seamlessly integrate breakthrough innovations into our core AI models suite.
- Engineer high-performance, scalable ML systems that maintain impeccable reliability under pressure.
- Elevate our ML Platform with industry-leading standards for monitoring, orchestration, and automated testing.
- Drive product adoption and client satisfaction by delivering sophisticated AI-driven insights.
- Ship high-impact AI models that translate directly into tangible business growth.
Qualifications:- 5+ years of experience in AI/ML development, with a focus on architecting deep learning systems and sophisticated model pipelines
- Master's degree or higher in Computer Science, Mathematics, Engineering, or related technical field
- Proven track record of productizing breakthrough AI research into commercial-grade deep learning models
- Deep expertise in neural network architectures, including transformer architecture, computer vision, natural language processing, and multimodal learning
- Experience in model optimization and fine-tuning for high-performance inference at scale
- Advanced proficiency in PyTorch or TensorFlow, with the ability to implement and adapt state-of-the-art research papers
- Proficiency in Python along with experience with machine learning libraries and frameworks (e.g. scikit-learn, XGBoost,...)
- Experience with large-scale data processing frameworks (we use Spark) and cloud computing platforms (we use Google Cloud Platform) is desirable
- Experience designing and maintaining production ML systems at scale requiring complex workflow orchestration, artifact versioning, online/offline evaluation, performance monitoring, and A/B testing
- Strong background in statistical modeling and predictive analytics for recommender systems and propensity scoring
- Strategic understanding of the AI model lifecycle, from discovery and experimentation to production deployment and evaluation
- Strong technical leadership skills and be able to guide and mentor junior engineers on the team
- Able to communicate complex technical concepts to non-technical stakeholders and cross-functional teams
- Work effectively in a fast-paced, deadline-driven environment and handle multiple priorities simultaneously
- Be detail-oriented and have a strong commitment to delivering high-quality solutions
- Be eager to continuously learn and stay up-to-date with the latest advancements in AI and related technologies
The base pay range for this position is CAD$ 140,000 - 180,000/yearly , which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
