Software Developer with Ai Skills
3 weeks ago
**AI System Development**:
- Utilize machine learning, deep learning, and other AI techniques to create predictive models, classifiers, and recommendation systems.
**Algorithm Design**:
- Develop and optimize AI algorithms and models to process data, extract insights, and make informed decisions.
- Fine-tune and adapt algorithms based on real-world data and user feedback.
**Data Preprocessing and Analysis**:
- Collect, clean, preprocess, and analyze large datasets to extract meaningful patterns and features for AI model training.
**Model Training and Evaluation**:
- Train and evaluate machine learning and deep learning models using appropriate libraries and frameworks.
- Implement validation techniques to ensure the accuracy, robustness, and efficiency of AI models.
**Integration with Software Systems**:
- Collaborate with cross-functional teams to ensure seamless integration and compatibility.
**Natural Language Processing (NLP)**:
- Implement techniques for entity recognition, text classification, and language understanding.
**Computer Vision**:
- Utilize frameworks and libraries for image processing and feature extraction.
**Continuous Learning and Research**:
- Stay updated with the latest AI and machine learning advancements and trends.
- Conduct research to identify new AI technologies and best practices for implementation.
**Collaboration and Communication**:
- Work closely with multidisciplinary teams, including data scientists, designers, and domain experts.
- Communicate technical concepts effectively to non-technical stakeholders.
**Code Documentation and Testing**:
- Write clear and well-documented code, adhering to coding standards and best practices.
- Conduct unit tests and integration tests to ensure the functionality and reliability of developed software.
**Qualifications and Skills**:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Strong programming skills in languages like Python, Java, or C++.
- Proficiency in AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with machine learning algorithms, neural networks, and deep learning architectures.
- Experience with NLP libraries (NLTK, spaCy) and computer vision tools (OpenCV).
- Knowledge of data preprocessing, feature engineering, and model evaluation.
- Ability to work with large datasets and cloud platforms (AWS, Azure, GCP).
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Adaptability to rapidly changing AI technologies and techniques.
Ability to Commute:
- Abu Dhabi (required)
Ability to Relocate:
- Abu Dhabi: Relocate before starting work (required)
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