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Job Title


Senior AI Engineer


Company : MIR Digital Solutions


Location : Toronto, Ontario


Created : 2026-01-22


Job Type : Full Time


Job Description

Overview Join to apply for the Senior Machine Learning Engineer role at MIR Digital Solutions Direct message the job poster from MIR Digital Solutions About MIR Digital About MIR Digital: At MIR Digital, were more than a company - were a collective of innovators, builders, and change-makers. We believe in empowering our team members to shape their own success while contributing to meaningful projects that drive business transformation. With a growing network of skilled professionals, were committed to delivering impactful digital solutions that empower our clients to excel in an ever-evolving world. Founded with a mission to redefine the digital landscape, MIR Digital has become a trusted partner for organizations seeking cutting-edge IT and business solutions. Our team thrives on collaboration, expertise, and a shared vision for achieving exceptional results. This is your opportunity to join a forward-thinking team and build your career with MIR Digital. About the Role We are seeking a skilled Machine Learning Engineer to join our team and build production-grade ML systems at scale . The ideal candidate is hands-on with deep learning frameworks and experienced in deploying end-to-end machine learning solutions in cloud-native environments. You will collaborate closely with data scientists, software engineers, and product teams to design, deploy, and optimize ML-powered applications that deliver real business impact. Key Responsibilities Design, build, and maintain scalable ML systems for production environments. Implement and optimize deep learning models using PyTorch and TensorFlow . Collaborate with cross-functional teams to integrate ML models into business applications and workflows. Develop and manage data pipelines, leveraging BigQuery and Cloud Composer . Utilize LangGraph and LangChain to build advanced AI applications and workflows. Containerize and orchestrate ML applications using Docker and Kubernetes . Deploy and monitor ML solutions in Google Cloud Platform (GCP) with a focus on scalability, performance, and cost efficiency. Ensure high availability, reliability, and maintainability of ML systems in production. Proven hands-on experience with production-grade ML systems at scale . Expertise in PyTorch and TensorFlow . Familiarity with BigQuery, LangGraph, and LangChain . Strong experience with Kubernetes, Docker, and Cloud Composer . GCP experience preferred Strong problem-solving skills, ability to work in fast-paced environments, and excellent communication skills. Why Join Us? Be part of a dynamic and fast-growing technology company. Work closely with innovative teams delivering cutting-edge software and technology solutions. Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries Retail Referrals increase your chances of interviewing at MIR Digital Solutions by 2x Get notified about new Machine Learning Engineer jobs in Toronto, Ontario, Canada . Related Jobs Software Engineer, Backend (All Levels / All Teams) Machine Learning Developer Intern (4 month term - Toronto or Montreal) Data Scientist, Decisions - New Product Development Applied Machine Learning Scientist (Early Career) Data Scientist, Algorithms Pricing (Optimization) Data Scientist - Data-Driven Global Investment Firm Data Scientist - Data Analytics and Infrastructure Senior Software Engineer I - New Product Data Scientist, Decisions - Rider Applied AI Data Scientist, Causal Inference - New Product Development Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr