Retail is at an inflection point. Fragmented systems, reactive operations, and siloed teams hinder the ability of modern retailers to adapt, innovate, and meet rising customer expectations. At Thri5, we believe the time has come to fundamentally reimagine how retail operates---one where operators are empowered with Data, Insights, and AI to drive productivity and agility to grow business value. Our vision is: to become the trusted AI-powered operating system for retail, empowering every operator---from store managers to headquarters---with smart insights, collaboration, and streamlined execution. With Thri5, retailers gain a transformative platform designed to make every operator 10x more productive, freeing them to focus on what matters most: delivering exceptional customer value and driving long term success.
Founded by a team with deep retail and retail technology experience, Thri5 is venture-backed by some of Canada's most prominent VC and angel investors.
As our Senior AI / Machine Learning Engineer , you will help lead and develop our AI vision and initiatives, driving both architectural and hands-on development efforts. You'll build multi-agent Co-pilot systems that orchestrate complex workflows and automate operational tasks at scale - and also develop cutting-edge LLM-based solutions to generate highly personalized alerts, recommended actions, and insights. You'll collaborate with the founding team to design and deploy AI-driven features that transform how retailers manage operations at scale.
Key Responsibilities:
- Design and build core framework that power Agents to optimize multi-step processes, orchestrate tasks across operators, and automate actions through external systems and tools
- Develop and fine-tune AI models leveraging LLM to enhance discovery of anomaly and opportunities that impact commercial and operational performance
- Build and optimize pipeline to leverage real-time customer data to enhance AI recommendations
- End-to-end ownership of ML models---data preprocessing, feature engineering, training, and inference in production
- Implement a robust MLOps approach for continuous integration, continuous deployment, and monitoring of AI models
- Monitor and enhance AI performance by continuously iterating models to improve performance, accuracy, and scalability
Requirements
- AI Fluency: 5+ years of experience in software development with expertise related to latest AI/ML frameworks and understanding of LLMs, GPTs, and agent-related technologies
- ML Proficiency: Solid background in supervised/unsupervised learning, time series forecasting, anomaly detection, and recommendation systems
- Programming: Proficient in Python and experience with ML frameworks (PyTorch, TensorFlow) and GenAI technologies
- Data Handling: Expertise in processing and managing large-scale datasets with advanced SQL querying
- Startup Mindset: Enjoy working in fast-paced environment and effective at brining clarity to ambiguous problem spaces. Holistic problem solver who enjoys high accountability and end-to-end ownership
- Teamwork: Collaborates effectively across a small and high-performing team
- Industry Knowledge: Experience in supply chain management, retail, predictive analytics and forecasting, or related industries is a plus
- Educational Background: Bachelor's, Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
