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AI Specialist
2 weeks ago
Our organization seeks a skilled Artificial Intelligence Specialist to spearhead the development of advanced machine learning models. As part of this role, you will be responsible for designing and deploying cutting-edge AI solutions that drive innovation and growth.
This is an exciting opportunity for talented individuals who are passionate about harnessing the power of AI to solve complex problems and create value.
- Key Responsibilities:
- Design, develop, and deploy sophisticated machine learning models using various frameworks and tools.
- Collaborate with cross-functional teams to integrate AI solutions into our products and enhance their capabilities.
- Conduct research to stay updated on the latest advancements in AI and apply best practices to improve model performance.
- Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.
- Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.
- Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.
- Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.
- Document model architecture, training processes, and performance metrics for internal and client-facing reports.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in developing and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or similar.
- Strong programming skills in Python and proficiency with machine learning libraries and tools.
- Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models.
- Understanding of ethical considerations and bias mitigation in AI systems.
- Contributions to open-source projects or publications in relevant conferences/journals.
- Experience with MLOps practices and tools for continuous integration and deployment of machine learning models.
We follow a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels.