This role offers
fulltime 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 clients dynamic team.
Responsibilities:
- Develop train and deploy machine learning models on AWS.
- Collaborate with crossfunctional teams to gather requirements define project goals and design scalable machine learning architectures.
- Conduct data preprocessing feature engineering and model evaluation to ensure highquality 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 uptodate with the latest advancements in machine learning generative AI and proactively propose innovative solutions to enhance existing systems.
Requirements:
- Bachelors 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 problemsolving 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 nontechnical stakeholders.