Artificial Intelligence (AI) Engineer | Alexandria | On-site

We are looking for a highly skilled Artificial Intelligence (AI)

Engineer to design, develop, and deploy AI-driven solutions that enhance our products and services.

You will be responsible for building machine learning models, developing AI algorithms, and integrating AI capabilities into our existing systems.As an AI Engineer, you will work closely with data scientists, software engineers, and product teams to create intelligent, scalable, and high-performance AI applications.

Key ResponsibilitiesDesign, develop, and implement AI models, machine learning algorithms, and deep learning solutions.Train and fine-tune machine learning models using large datasets to improve accuracy and performance.Utilize and integrate AI APIs such as ChatGPT, Gemini, or other Large Language Model (LLM) services to build intelligent applications.Build and optimize AI-driven applications, including Natural Language Processing (NLP), Computer Vision, Recommendation Systems, and Predictive Analytics.Develop and integrate AI models into cloud-based and edge computing environments.Work with structured and unstructured data, applying data preprocessing, feature engineering, and data augmentation techniques.Design and implement automation workflows using n8n, Zapier, or Make (Integromat) to streamline AI processes and integrations.Collaborate with software engineers, data scientists, and business analysts to align AI solutions with business objectives.Deploy AI models to production environments, monitor their performance, and continuously improve them based on real-world data.Research and stay up to date with the latest AI advancements, frameworks, and best practices.Optimize AI models for efficiency, scalability, and real-time processing.Ensure AI models adhere to ethical AI principles, fairness, bias mitigation, and responsible AI deployment.

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Proven experience in AI/ML model development, training, and deployment.Proficiency in Python.

Knowledge of HTML, CSS, and JavaScript is a strong plus.Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar machine learning frameworks.Strong understanding of Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI models.Experience working with AWS, Azure, or Google Cloud Platform (GCP) for AI model deployment.Experience with MLOps tools for model monitoring, retraining, and continuous deployment.Strong analytical and problem-solving skills with a keen interest in AI-driven solutions.Excellent communication and teamwork skills, with the ability to explain AI concepts to non-technical stakeholders.