AI/ML Engineer

As an **Artificial Intelligence Engineer**, you will play a crucial role in designing, developing, and deploying AI systems. Your work will involve translating complex data into AI-driven solutions that can operate autonomously in real-time environments. You'll be responsible for writing code, deploying models to production, and continuously monitoring and updating them as needed.

Responsibilities
- **Algorithm Development**: Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes.
- **Model Creation**: Develop and validate algorithms, neural networks, and other machine learning models.
- **Generative AI**: Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music.
- **Machine Learning**: Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation.
- **Natural Language Processing (NLP)**: Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT.
- **Data Management**: Handle data pre-processing, augmentation, and synthetic data generation.

Qualifications
To excel in this role, you should possess the following skills:
Hard Skills
1. **Advanced Programming**: Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras.
2. **Generative Models**: Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
3. **NLP**: Familiarity with NLP techniques for text generation.
4. **Data Management**: Knowledge of data pre-processing, augmentation, and synthetic data generation.

Soft Skills
1. **Creativity**: Ability to think creatively and solve complex, creative challenges using AI.
2. **Collaboration**: Work effectively with researchers, engineers, and other team members.
3. **Continuous Learning**: Stay updated with evolving AI technologies and applications.

Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields.
- Proven experience in machine learning, generative AI,