Key Responsibilities:

Design, develop, and maintain AI infrastructure solutions for our AI research team
Collaborate with cross-functional teams to understand their infrastructure needs and provide solutions accordingly
Develop and maintain tools and processes for automated deployment and scaling of AI models
Monitor and optimize the performance of AI infrastructure to ensure high availability and scalability
Troubleshoot and resolve any infrastructure-related issues in a timely manner
Stay up-to-date with the latest AI technology trends and make recommendations for continuous improvement
Work closely with data engineers to ensure efficient data storage and retrieval for AI models
Mentor and guide junior team members in AI infrastructure best practices and technologies

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum of 5 years of experience in designing and implementing AI infrastructure solutions
Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud
Experience with containerization technologies such as Docker and Kubernetes
Proficient in programming languages such as Python, Java, or C++
Hands-on experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
Experience with DevOps practices and tools like Jenkins, Git, or Chef
Excellent communication and collaboration skills
Strong problem-solving and troubleshooting abilities
Ability to work in a fast-paced, dynamic environment

We offer a competitive salary, comprehensive benefits package, and opportunities for growth and development. Apply today and take the next step in your career as a Senior AI Infrastructure Engineer at Lobox.

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