Key Responsibilities:

Design, implement and maintain scalable and robust AI infrastructure solutions
Collaborate with AI engineers and data scientists to understand their needs and requirements
Develop and maintain tools for data ingestion, storage, and processing
Implement and manage AI-specific hardware and software, such as GPUs and deep learning frameworks
Optimize AI infrastructure for performance, reliability, and cost
Monitor and troubleshoot production systems to ensure maximum uptime and minimal downtime
Stay up-to-date with the latest advancements in AI infrastructure and recommend improvements to the existing infrastructure
Document and communicate AI infrastructure processes and procedures to team members and stakeholders
Collaborate with cross-functional teams to ensure seamless integration of AI solutions into existing systems

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Strong understanding of AI and machine learning concepts and techniques
Experience with programming languages such as Python, Java, or C++
Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud
Experience with containerization technologies such as Docker and Kubernetes
Knowledge of database technologies such as SQL, NoSQL, and Hadoop
Familiarity with version control systems such as Git
Proven experience in designing, implementing, and maintaining AI infrastructure in a production environment
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work in a fast-paced and dynamic environment
Willingness to continuously learn and adapt to new technologies

Join our team and be a part of shaping the future of AI infrastructure.

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