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Title
Text copied to clipboard!Deep Learning Trainer
Description
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We are looking for a Deep Learning Trainer who will be responsible for developing, training, and optimizing deep learning models for various artificial intelligence applications. The ideal candidate will have a strong technical background in machine learning, experience with neural networks, and the ability to implement real-time solutions. This position requires the ability to analyze large datasets, design model architectures, and optimize their performance for specific tasks. The Deep Learning Trainer will work closely with data scientists, software developers, and product teams to develop innovative AI-based solutions.
Key responsibilities include designing and implementing deep learning models, selecting appropriate algorithms, tuning hyperparameters, and ensuring the scalability of solutions. The candidate should be familiar with libraries such as TensorFlow, PyTorch, Keras, and have experience working in cloud environments like AWS, GCP, or Azure. Knowledge of natural language processing (NLP), computer vision, or generative models is a plus.
In addition to technical skills, we expect the ability to communicate results and recommendations to non-technical audiences, as well as the ability to document and present research findings. The Deep Learning Trainer will also be responsible for staying up to date with the latest trends in AI and applying them within the organization.
Responsibilities
Text copied to clipboard!- Design and train deep learning models for various tasks
- Analyze and preprocess large datasets
- Optimize model architectures and hyperparameters
- Collaborate with development and research teams
- Implement solutions in production environments
- Monitor model performance and suggest improvements
- Ensure documentation and presentation of results
- Track new trends and technologies in AI
- Utilize cloud platforms for model scaling
- Test and validate models on real-world data
Requirements
Text copied to clipboard!- University degree in computer science, mathematics, or related field
- Experience with libraries such as TensorFlow, PyTorch, or Keras
- Knowledge of machine learning and deep learning algorithms
- Experience working in cloud environments (AWS, GCP, Azure)
- Ability to analyze and visualize data
- Proficiency in Python and other programming languages
- Experience with NLP, computer vision, or generative models is a plus
- Ability to work independently and in a team
- Strong communication and presentation skills
- Technical proficiency in English
Potential interview questions
Text copied to clipboard!- What deep learning models have you trained in the past?
- Which libraries and tools do you use most frequently?
- How do you approach hyperparameter optimization?
- Do you have experience deploying models to production?
- How do you stay updated with AI trends?
- What challenges have you faced working with large datasets?
- Which cloud platforms have you used?
- How do you ensure model interpretability?
- What metrics do you use to evaluate model performance?
- How would you explain model results to a non-technical audience?
