Machine learning engineer • toronto on
Senior Machine Learning Engineer.AI and machine-learning solutions using modern MLOps practices.The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable... Voir plus
Analytics, Insights, & Artificial Intelligence .CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.TD is committed to providing fair a... Voir plus
Despite massive investments in planning, forecasting, and analytics, retailers still face the same operational issues—out-of-stocks, bad master data, margin leakage, and inconsistent execution acro... Voir plus
About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider.Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizin... Voir plus
Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring and observability.Strong Pytho... Voir plus
We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.Layer 6 is the AI center of excell... Voir plus
We are looking for a Machine Learning Engineer to join our Toronto team and help us take our products to the next level in terms of visual intelligence.Invision AI is building a universal AI platfo... Voir plus
Aptos,sans-serif"><b>TWC Global Services is Hiring.Aptos,sans-serif"><b>TWC Global Services is seeking a Senior Machine Learning Engineer who will deploy, integrate, mon... Voir plus
Tiger Analytics is an advanced analytics consulting firm.We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.Our consultants b... Voir plus
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis.That moment inspired Fred to build a company that could do that for everyone—freeing peopl... Voir plus
Wiser Solutions is hiring a Senior ML Engineer to help build our customer-facing AI platform and get the first features into customers' hands.Our data runs at real scale: well over 100 million prod... Voir plus
Stripe is a financial infrastructure platform for businesses.Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their reve... Voir plus
Senior Software Engineer, Machine Learning.Toronto, Ontario, in office ~4 days/week (.Technical CEO, working directly with our Founding Engineer and Founding Data Scientist.Chorus is the marketing ... Voir plus
Mandatory Experience:</b></div> <ul> <li>Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automa... Voir plus
We are seeking an experienced Senior Machine Learning Engineer to deploy, integrate, monitor, and operationalize enterprise AI and machine learning solutions using modern MLOps practices.In this ro... Voir plus
AI Software Test / Validation Engineer.Technology / AI / Semiconductor.Our client is a global technology leader developing next-generation AI and machine learning solutions for on-device applicatio... Voir plus
The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using modern MLOps practices. The role will establish reusable deployment patterns, tooling, monitoring, and automation that enable AI solutions to move reliably from development into production and scale across the enterprise. Responsibilities: Creates machine learning models and utilizes data to train models Focuses on analyzing data to find relations between the input and the desired output Understands business objectives and develops models that help achieve them, along with metrics to track their progress Designs and develops machine learning and deep learning systems Runs machine learning tests and experiments Implements appropriate machine learning algorithms General Skills: Experience managing available resources such as hardware, data, and personnel so that deadlines are met Experience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probability Experience exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Experience verifying data quality, and/or ensuring it via data cleaning Experience supervising the data acquisition process if more data is needed Experience finding available datasets online that could be used for training Experience defining validation strategies Experience defining the preprocessing or feature engineering to be done on a given dataset Background in statistics and computer programming A team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience
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