About this role
We are seeking a highly skilled and experienced Senior AI Infrastructure Engineer to join our innovative Information Technology department. This role is pivotal in designing, building, and maintaining the robust and scalable infrastructure essential for our cutting-edge Artificial Intelligence and Machine Learning initiatives. The successful candidate will play a critical role in enabling our data scientists and AI researchers to efficiently develop, train, and deploy advanced models.
Key Responsibilities:
- Design and implement scalable AI infrastructure solutions that support machine learning workloads.
- Collaborate with data scientists and AI researchers to understand their infrastructure needs.
- Monitor and optimize performance of AI systems and infrastructure.
- Ensure high availability and reliability of AI services and applications.
- Develop automation scripts for deployment and management of AI infrastructure.
- Stay updated with the latest trends and technologies in AI and machine learning infrastructure.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in containerization technologies like Docker and Kubernetes.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with data storage solutions, including SQL and NoSQL databases.
- Knowledge of machine learning frameworks like TensorFlow or PyTorch is a plus.
Experience:
- Minimum of 5-8 years of experience in infrastructure engineering or related fields, with a focus on AI and machine learning.
What we offer:
- Opportunity to work on innovative projects in the AI domain.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.