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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Staff Machine Learning Engineer
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Analyst, Machine Learning Engineering
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Staff Machine Learning Engineer
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Research Associate
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Audio/visual Assistant B
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Machine Learning Engineer - Montréal, QC, Canada - Stay22
Description
Job Title:
Machine Learning Engineer - Montreal/Hybrid
We're a trailblazing Travel Tech startup in Montreal, searching for a Machine Learning Engineer with a specialization in TABULAR PREDICTIONS and Large Language Models (LLMs).
Join us to push the boundaries of predictive modeling and AI in travel technology, offering salaries between $120k and $200k based on expertise.
Stay22 is a fast growing startup that helps content creators to better monetize their platform while improving the overall experience of their end users through different innovative solution that makes it easy to search for travel related services.
We give them what they want: health & dental benefits, learning & development opportunities, social & team building activities including cool retreats...
Expertise in Machine Learning forTABULAR PREDICTIONS:
Strong background in machine learning, especially in developing forecasting and prediction models based on tabular data.
Proficient in Python and familiar with ML libraries (e.g., Experienced in data manipulation and visualization with tools like pandas, matplotlib, and seaborn to derive insights from data.
Skilled in using machine learning as a service platforms such as Google Vertex AI or Amazon SageMaker for model training, deployment, and management, emphasizing cost-efficiency and scalability.
Large Language Models:
Knowledge of Large Language Models (LLMs) and their application in generating insights and enhancing predictions via feature engineering
Understands how to gather data for fined tuning in a scalable way
Data Science and
Statistical Analysis:
Solid understanding of statistics and data analysis techniques.
Ability to communicate complex data findings in a clear and effective manner.
Autonomy and Innovation in ML Projects:
Demonstrated ability to lead ML projects from conception through deployment.
Self-starter with a track record of innovative problem solving and project management.
Strong communication skills and the capacity to translate technical concepts into business value.
Our stack is mostly in NodeJS and Python, so familiarity and ability to deploy, and monitor is key.
Relevant degree or equivalent experience in Machine Learning, Computer Science, or a related field.
Demonstrable projects or contributions applying ML
We are looking for someone who can sort through this data, experiment, fail, wake up, fail again, and then maybe fail one more time ;) Sorting through our billions of row of data, finding patterns and anomolies.