Machine Learning Engineer

1 day ago

Canada Options for Employment. Full time
Job Title: Machine Learning Engineer

Options for Employment is a pioneering company leading the charge in creating AI-focused software solutions tailored for the construction industry.

By leveraging advanced artificial intelligence technologies, we aim to revolutionize how construction projects are planned, executed, and managed, setting new industry standards for efficiency and innovation.

We have a strong work ethic committed to delighting clients and providing them with exceptional service. Our thriving and motivated culture is the heartbeat of our organization.

We are seeking a highly skilled Machine Learning Engineer to join our team. As a key player in driving the development and optimization of our interdisciplinary machine learning projects, you will have the opportunity to work on cutting-edge algorithms and technologies.

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. Utilize Python, TensorFlow, and PyTorch to make significant contributions to our interdisciplinary projects.
  • Optimization and ML Ops 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.
Requirements:
  • 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.
  • ML Ops 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.
Preferred Qualifications:
  • 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.
Your Life and Career at Options for Employment:

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

To learn more about our company, visit our web page: https://www.optionsforemployment.com

We are committed to the principles and practices of employment equity and encourage all qualified individuals, including women, persons with disabilities, visible minorities, and Aboriginal Peoples to apply.

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