The AI Engineer is responsible for designing, developing, and implementing artificial intelligence solutions that enhance business processes and drive innovation. This role is crucial in leveraging machine learning models to solve complex problems and improve operational efficiency.
- Design and develop AI models using machine learning algorithms.
- Collaborate with data scientists to refine data sets for model training.
- Implement AI solutions into existing systems or new applications.
- Monitor the performance of deployed models and optimize as needed.
- Stay updated with the latest advancements in AI technologies.
- Work closely with software engineers to integrate AI components into products.
- Proficiency in programming languages such as Python or R.
- Strong understanding of machine learning frameworks like TensorFlow or PyTorch.
- Experience with data preprocessing techniques and tools like Pandas or NumPy.
- Excellent problem-solving skills.
The performance of an AI Engineer is evaluated based on successful deployment of scalable AI solutions, improvement in process efficiencies through automation, accuracy of predictive models, and contribution to innovative projects within set timelines.
Model Deployment
Successful implementation of scalable AI solutions.
Process Efficiency
Enhancement through automation using AI technologies.
Predictive Accuracy
Improvement in accuracy rates for predictive modeling tasks
Reports to
Lead Data Scientist
Collaborates with
Data Scientists, Software Engineers
Leads
- TensorFlow
- PyTorch
- Python
Bachelor's degree in Computer Science, Engineering or related field; 2-4 years experience working on machine learning projects.
