AI Engineers i Analytics & AI

The AI Engineer role in Analytics & AI requires a mid-level professional with a solid foundation in artificial intelligence and data analytics. Candidates should possess a bachelor's degree, reflecting a strong academic background in computer science, data science, or related fields. The position demands practical experience, approximately equivalent to 40 experience points, indicating familiarity with designing, developing, and deploying AI models and algorithms. Key technical competencies likely include proficiency in programming languages such as Python or R, experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, and knowledge of data processing tools and techniques. The role involves working with large datasets, performing data analysis, feature engineering, and model evaluation to support business intelligence and decision-making processes. Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) and containerization tools (e.g., Docker, Kubernetes) may also be relevant. Strong analytical skills and the ability to translate complex data insights into actionable recommendations are essential. Candidates should demonstrate experience collaborating within cross-functional teams, applying AI methodologies to solve real-world problems, and maintaining awareness of emerging AI trends and best practices. Overall, the role suits professionals who combine theoretical knowledge with hands-on AI development experience to drive innovation in analytics and artificial intelligence initiatives.