The Senior Machine Learning Engineer will deploy, integrate, monitor, and operationalize AI and machine-learning solutions using contemporary 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 modelsFocuses on analyzing data to find relations between the input and the desired outputUnderstands business objectives and develops models that help achieve them, along with metrics to track their progressDesigns and develops machine learning and deep learning systemsRuns machine learning tests and experimentsImplements appropriate machine learning algorithmsGeneral Skills: Experience managing available resources such as hardware, data,



and personnel so that deadlines are metExperience analyzing the machine learning algorithms that could be used to solve a given problem and ranking them by their success probabilityExperience 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 worldExperience verifying data quality, and/or ensuring it via data cleaningExperience supervising the data acquisition process if more data is neededExperience finding available datasets online that could be used for trainingExperience defining validation strategiesExperience defining the preprocessing or feature engineering to be done on a given datasetBackground in statistics and computer programmingA team player with a track record for meeting deadlines, managing competing priorities and client relationship management experience

📌 Senior Machine Learning Engineer Jp245 (Winnipeg)
🏢 Pathlion
📍 Winnipeg