Current jobs related to Machine Learning Engineer - Canada - Options for Employment.
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Machine Learning Engineer
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Canada Pythian Full timeUnlock Your Potential as a Machine Learning Engineer at PythianAre you a skilled machine learning engineer looking to take your career to the next level? Do you have a passion for building and optimizing machine learning pipelines, deploying models to production, and ensuring their scalability and reliability? If so, we want to hear from you!What You'll Be...
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Canada Pythian Full timeJob Title: Machine Learning EngineerAbout the Role:We are seeking a highly skilled Machine Learning Engineer to join our team at Pythian. As a Machine Learning Engineer, you will be responsible for designing, developing, and maintaining machine learning pipelines for internal and client-driven projects.Key Responsibilities:Design and develop machine learning...
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Machine Learning Engineer
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Canada Advanced Micro Devices Full timeTransforming Lives with AMD TechnologyWe are passionate about harnessing the power of innovation to enrich our industry, communities, and the world. Our mission is to create groundbreaking products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems.We...
Machine Learning Engineer
2 months ago
Options for Employment is seeking a highly skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for developing and training advanced machine learning models, leveraging cutting-edge algorithms such as RCNN, LSTM, and Transformers across different data modalities.
Responsibilities:- Development of Advanced ML Models: Take part in the development and training of advanced machine learning models, emphasizing cutting-edge algorithms such as RCNN, LSTM, and Transformers across different data modalities.
- Optimization and MLOps Application: Assist in refining our codebase and adopting MLOps practices to improve the machine learning lifecycle across modalities, from data preparation to deployment and monitoring.
- Interdisciplinary Model Integration: Collaborate with cross-functional teams to integrate interdisciplinary machine learning models that span various modalities, including text and vision, into our application ecosystem.
- Deep Learning Expertise Across Modalities: Strong knowledge and experience with deep learning algorithms such as RCNN, LSTM, and Transformers, particularly applied to various modalities like text and vision.
- Experience with Interdisciplinary CV and NLP Models: Demonstrated experience working with machine learning models in computer vision and NLP, showcasing the ability to tackle complex, interdisciplinary problems through innovative ML solutions.
- MLOps Platforms Proficiency: Familiarity with MLOps platforms such as AWS SageMaker, Databricks, and Weights & Biases, with a competency in leveraging these tools to streamline the ML lifecycle across various data modalities.
- Document Processing Expertise: Experience with technologies related to PDFs, Document AI models, and OCR is highly valued, particularly in the context of processing and analyzing information across different modalities.
Options for Employment is a dynamic, industrious, innovative, and collaborative company. We believe diverse and inclusive organizations create work environments that are inventive and open-minded, where people spark new ideas and explore alternatives. At Options for Employment, we offer the following to make sure you have a rewarding and enjoyable experience:
- Competitive salary
- Career advancement opportunities
- Benefits package for all eligible full-time employees (including medical, vision and dental)
- A culture that promotes a healthy, fulfilling work-life balance
- Free parking
- Foosball, Ping Pong Table & basketball net
- Gym facilities
- Epic year-round employee events
