Summary
We are looking for an experienced and talented Artificial Intelligence Engineer to join our team. The ideal candidate will have a strong understanding of artificial intelligence (AI) principles and technologies. They will be able to use their skills to design, develop, and deploy AI-powered solutions that solve real-world problems.
Responsibilities
- Design and develop AI-powered solutions: AI engineers need to be able to design and develop AI-powered solutions that solve real-world problems. This can involve using machine learning, deep learning, and natural language processing to create algorithms that can learn from data and make predictions.
- Implement and deploy AI solutions: Once an AI engineer has designed an AI-powered solution, they need to be able to implement and deploy it in a production environment. This can involve working with software engineers to integrate the AI solution into existing systems, and with data scientists to collect and prepare the data that the AI solution will need to train and operate on.
- Gather and analyze data to improve AI solutions: AI solutions are constantly learning and improving. To ensure that AI solutions are performing at their best, AI engineers need to gather and analyze data to identify areas where the solutions can be improved. This can involve using statistical analysis and machine learning to identify patterns in the data and make recommendations for how to improve the AI solution.
- Collaborate with engineers, scientists, and other stakeholders: AI engineers need to be able to collaborate effectively with a variety of stakeholders, including engineers, scientists, and other business professionals. This is important to ensure that AI solutions are aligned with the needs of the business and that they are developed in a way that is feasible and scalable.
- Stay up-to-date on the latest AI trends: The field of AI is constantly evolving, so it is important for AI engineers to stay up-to-date on the latest trends. This can involve reading research papers, attending conferences, and networking with other AI professionals.
Qualifications
- Master’s degree in computer science, data science, or a related field
- Experience in AI development
- Strong programming skills in Python, Java, or C++
- Experience with machine learning, deep learning, and natural language processing
- Strong problem-solving and analytical skills
- Excellent communication and teamwork skills
- Ability to work independently and as part of a team