Parent Organization – Machine Learning Enginner – Toronto, ON

Company: Parent Organization

Location: Toronto, ON

Expected salary:

Job date: Wed, 20 Nov 2024 23:28:35 GMT

Job description: This role offers full-time or contract engagement with 100% remote flexibility. Join a Fortune 500 multinational project in Canada as a Machine Learning Enginner!Take the lead in developing innovative solutions and driving key technology initiatives.Send your application to and become a key member of the client’s dynamic team.Responsibilities:

  • Develop, train, and deploy machine learning models on AWS.
  • Collaborate with cross-functional teams to gather requirements, define project goals, and design scalable machine learning architectures.
  • Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality and reliable models.
  • Implement and optimize machine learning algorithms and pipelines.
  • Explore and experiment with generative AI techniques, including large language models, to solve complex problems.
  • Monitor and maintain deployed models, ensuring performance, scalability, and reliability in production environments.
  • Stay up-to-date with the latest advancements in machine learning, generative AI, and proactively propose innovative solutions to enhance existing systems.

Requirements:

  • Bachelor’s or advanced degree in Computer Science, Engineering, or a related field.
  • Strong experience in machine learning engineering, with a focus on developing and deploying models in production environments.
  • Proficiency in using AWS tools and services for machine learning.
  • Solid understanding of deep learning architectures, natural language processing (NLP), and generative AI models.
  • Proficiency in Python and experience with relevant libraries and frameworks, such as TensorFlow, PyTorch, or Keras.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with MLOps practices, version control, and CI/CD pipelines for machine learning.
  • Strong problem-solving skills and the ability to work on complex projects independently or collaboratively.
  • Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.