Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Company: Movable Ink Job Category: Machine Learning Roles & Responsibilities: 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. * 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 Work Location: Toronto, Ontario, Canada Availability: Full time

Qualifications: 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. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Computer Vision Salary: $ 140,000