AI Engineer

Overview

As an AI Engineer at CloudClinic, you will be at the forefront of cutting-edge AI technology, working on diverse projects that push the boundaries of what’s possible. You will collaborate with a talented team of engineers, data scientists, and domain experts to develop and deploy AI solutions that solve complex business challenges and drive meaningful impact.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and design AI solutions.
• Develop and implement machine learning algorithms and models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Explore and experiment with new AI techniques and technologies to improve model performance and scalability.
• Build and maintain data pipelines and infrastructure for AI model training and deployment.
• Work closely with stakeholders to gather feedback and iterate on AI solutions to meet evolving needs.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong programming skills in languages such as Python, Java, or C++.
• Solid understanding of machine learning, deep learning, and natural language processing concepts.
• Experience with AI model development and deployment using cloud platforms (e.g., AWS, Azure, Google Cloud).
• Excellent problem-solving skills and attention to detail.
• Ability to work effectively in a fast-paced, collaborative environment.