AI Engineer

Cape Solutions is seeking a skilled AI Engineer to join our innovative team focused on developing advanced AI solutions. The ideal candidate possesses strong expertise in Python, deep learning, and natural language processing, utilizing frameworks such as PyTorch to create impactful models. This role is crucial for driving our projects forward, facilitating the creation of cutting-edge applications that leverage artificial intelligence for diverse use cases. As an AI Engineer, you will work in a collaborative environment, contributing to all stages of the software development lifecycle, from conception through optimization. We encourage creative problem-solving and the exploration of new techniques to improve algorithms and enhance performance. You will be a part of a dynamic team that values innovation and continuous improvement. You will collaborate closely with data scientists, software developers, and other stakeholders to deliver reliable AI-driven solutions. Your understanding of complex algorithms and passion for AI technologies will play a major role in advancing our applications. We believe in fostering an inclusive workplace that embraces the growth of all team members, allowing you to thrive in your career as you contribute to vital projects at Cape Solutions.

Responsibilities

Design and implement advanced artificial intelligence models using deep learning techniques.
Develop, test, and optimize algorithms to solve complex problems across various domains.
Utilize Python and PyTorch to build robust machine learning applications.
Conduct thorough analysis and experimentation to improve model accuracy and efficiency.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Stay updated with the latest research and advancements in artificial intelligence and machine learning.
Prepare documentation and present findings to stakeholders in a clear and informative manner.
Participate in code reviews and provide constructive feedback to enhance code quality.
Troubleshoot and resolve technical issues in AI models and applications as they arise.
Promote best practices in software engineering and AI development within the team.