AI Deep Learning Engineer
We are seeking an experienced AI Deep Learning Engineer to join our team in La-Condamine. In this role, you will be responsible for developing and implementing cutting-edge deep learning algorithms for our AI systems. You will work closely with our data scientists and software engineers to design, train, and deploy deep learning models for various applications.
Responsibilities:
- Develop and optimize deep learning algorithms for our AI systems
- Work with large datasets to train and validate deep learning models
- Collaborate with data scientists and software engineers to integrate deep learning models into production systems
- Stay current with the latest advancements in the field of AI and incorporate them into our systems
- Troubleshoot and debug issues related to the performance of deep learning models
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Proven experience in developing and deploying deep learning models
- Strong knowledge of machine learning techniques, such as neural networks, convolutional networks, and recurrent networks
- Familiarity with popular deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Experience working with large datasets and proficiency in programming languages like Python or C++
- Excellent problem-solving skills and ability to troubleshoot complex issues
Preferred Qualifications:
- PhD degree in Computer Science or a related field with a focus on AI/deep learning
- Hands-on experience with natural language processing (NLP) techniques using deep learning models
- Familiarity with computer vision applications using deep learning algorithms
- Experience working on cloud-based platforms like AWS or Azure
This is a part-time position offering a salary of $1200 per month. Visa sponsorship is available for qualified candidates. We welcome applicants of all genders. If you have a passion for artificial intelligence and want to work on cutting-edge projects, we would love to hear from you.
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views: 134
valid through: 2026-05-15