Overview
We are seeking a highly skilled and innovative Artificial Intelligence (AI) Engineer to join our team and contribute to the development of cutting-edge AI solutions. As an AI Engineer, you will be responsible for designing, developing, and deploying intelligent systems that leverage machine learning and deep learning techniques to solve complex problems. You will work closely with data scientists, software engineers, and domain experts to transform data into actionable insights and drive business growth.
Responsibilities
- Design, develop, and deploy advanced AI algorithms and models, including neural networks, decision trees, and other machine learning techniques.
- Collaborate with cross-functional teams to identify and define AI-driven solutions that address business needs.
- Conduct in-depth data analysis, feature engineering, and model selection to optimize performance.
- Implement and fine-tune AI models on scalable infrastructure, ensuring efficient and reliable performance.
- Stay up-to-date with the latest advancements in AI research and industry trends.
- Contribute to the development of best practices and standards for AI development and deployment.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong proficiency in Python programming and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
- Solid understanding of statistical analysis, data mining, and data visualization.
- Knowledge of cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving, critical thinking, and communication skills.
- Passion for AI and a desire to push the boundaries of innovation.
Please apply for a resume online, and the digitalxnode evaluation team will reach out to you in case your profile gets screen-selected. We will keep your data in our repository, and our team may reach out to you for other positions.