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Ai Engineer

1 month ago

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**Key Responsibilities**:

- **AI Model Development**: Design, build, and refine machine learning models and algorithms to solve specific problems.
- **Data Analysis**: Analyze and preprocess large datasets to extract meaningful insights and features for model training.
- **Collaboration**: Work with product managers, data scientists, and software engineers to integrate AI solutions into products and services.
- **Performance Optimization**: Monitor, evaluate, and improve the performance of AI models through rigorous testing and tuning.
- **Documentation**: Create and maintain comprehensive documentation for models, algorithms, and workflows.
- **Support & Maintenance**: Provide ongoing support for deployed AI systems, addressing issues and implementing improvements as needed.

**Qualifications**:

- **Education**: Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.
- **Experience**: Proven experience in AI/ML engineering, with a strong portfolio of projects or publications.
- **Skills**: Proficiency in programming languages such as Python, Java, or C++. Experience with AI frameworks like TensorFlow, PyTorch, or Keras.
- **Knowledge**: Solid understanding of machine learning algorithms, deep learning, natural language processing, and computer vision.
- **Tools**: Familiarity with data manipulation tools (e.g., Pandas, NumPy) and cloud platforms (e.g., AWS, Google Cloud, Azure).
- **Soft Skills**: Excellent problem-solving abilities, strong analytical skills, and effective communication skills. Ability to work independently and manage multiple projects in a remote environment.