AI Software Engineer
SKILLS
FULL DESCRIPTION
Summary
Develop, implement, and optimize AI algorithms and software solutions. Collaborate with data scientists and product teams to integrate AI models into systems. Build scalable and efficient software architectures for AI-driven applications. Troubleshoot and resolve performance issues in AI-powered platforms. Stay updated with the latest advancements in AI and machine learning technologies.
Key Responsibilities/Duties:
- Develop, implement, and optimize AI algorithms and software solutions.
- Collaborate with data scientists and product teams to integrate AI models into systems.
- Build scalable and efficient software architectures for AI-driven applications.
- Troubleshoot and resolve performance issues in AI-powered platforms.
- Stay updated with the latest advancements in AI and machine learning technologies.
Core Requirements/Qualifications/Skills:
- Proficiency in Python and AI/ML frameworks like TensorFlow or PyTorch.
- Strong experience in software engineering principles and system design.
- Familiarity with cloud-based services (AWS, Azure, or Google Cloud).
- Knowledge of databases, APIs, and version control systems (Git).
- Bachelor’s or Master’s degree in Computer Science, AI, or related field.
Responsibilities:
Develop, implement, and optimize AI algorithms and software solutions. Collaborate with data scientists and product teams to integrate AI models into systems. Build scalable and efficient software architectures for AI-driven applications. Troubleshoot and resolve performance issues in AI-powered platforms. Stay updated with the latest advancements in AI and machine learning technologies.
Requirements:
Proficiency in Python and AI/ML frameworks like TensorFlow or PyTorch. Strong experience in software engineering principles and system design. Familiarity with cloud-based services (AWS, Azure, or Google Cloud). Knowledge of databases, APIs, and version control systems (Git). Bachelor’s or Master’s degree in Computer Science, AI, or related field.