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 [email protected] 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.
1 day ago