AI/ML Infrastructure Engineer

4 weeks ago


Canada Avenue Code Full time

About The Opportunity About the job The team is dedicated to developing a robust platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models. Responsibilities Contribute to the client's ML Platform SDK and build tools for various ML operations. Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements. Work independently and collaboratively on squad projects that often requires learning and applying new technologies that may go beyond existing skillsets. Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops. Design, documents and implements reliable, testable and maintainable solutions ML infrastructure capabilities. Required Qualifications You have 6+ years of hands‑on experience implementing production ML infrastructure at scale in Python, Go or similar languages. You have knowledge of deep learning fundamentals, algorithms, and open‑source tools such as Huggingface, Ray, PyTorch or TensorFlow. You have an understanding of distributed training leveraging GPUs and Kubernetes. You have a general understanding of data processing for ML. You have experience with agile software processes and modular code design following industry standards. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Avenue Code by 2x. Get notified about new Infrastructure Engineer jobs in Toronto, Ontario, Canada . #J-18808-Ljbffr


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