AI Software Engineer
Summary
An AI Software Engineer builds, tests, and deploys applications that integrate AI/ML models into existing and new products, creating APIs and AI-powered features alongside data scientists. Core stack includes Python/Java/C++, TensorFlow, PyTorch, scikit-learn, and optionally cloud platforms.
About the Role
Our client is seeking a talented and enthusiastic AI Software Engineer to join their innovative team in East London . This role involves developing and implementing software solutions that leverage artificial intelligence and machine learning models. You will work on a variety of projects, integrating AI capabilities into existing products and creating new AI-driven features. This is an excellent opportunity for a software engineer passionate about AI to contribute to cutting-edge technologies in a collaborative and growth-oriented environment. You'll be part of a team dedicated to pushing the boundaries of what AI can achieve.
Key Responsibilities
- Develop, test, and deploy software applications that integrate AI/ML models.
- Work with data scientists and ML engineers to implement and optimize AI algorithms.
- Build APIs and services to support AI-powered features.
- Ensure the scalability, performance, and reliability of AI software solutions.
- Contribute to the design and architecture of AI systems.
- Write clean, maintainable, and well-documented code.
Requirements
- 3+ years of experience in software development.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Understanding of machine learning concepts and model deployment.
- Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
- Strong problem-solving skills and a passion for learning new technologies.
Benefits
- Competitive salary and comprehensive benefits package.
- Hybrid work arrangement offering flexibility for employees in East London .
- Opportunities for professional development and skill enhancement in AI.
- A dynamic and innovative work culture.
- The chance to work on impactful AI projects.
