AI Infrastructure Engineer

At Lobox, we are passionate about using AI to solve real-world problems

Position: AI Infrastructure Engineer

Location: New York, New York, United States

Type: Contract

Salary: $92 Per hour

About the role: We are seeking a highly skilled and motivated AI Infrastructure Engineer to join our dynamic team. As an AI Infrastructure Engineer, you will play a crucial role in designing, developing, and maintaining our AI infrastructure. You will be responsible for creating a robust and scalable infrastructure that supports the development and deployment of cutting-edge AI technologies. This is an exciting opportunity for an experienced engineer to work with the latest technologies in the fast-paced world of AI.

Key responsibilities:

• Design, develop, and maintain our AI infrastructure, including data pipelines, storage systems, and computing clusters
• Collaborate with AI researchers and data scientists to understand their infrastructure needs and provide efficient solutions
• Optimize AI workflows and processes to improve performance and efficiency
• Develop and maintain tools for monitoring and managing our AI infrastructure
• Ensure the security and reliability of our AI infrastructure
• Stay up-to-date with the latest advancements in AI infrastructure and implement best practices
• Work closely with cross-functional teams to integrate AI technology into our products and services
• Troubleshoot and resolve any infrastructure-related issues in a timely manner
• Document and communicate technical solutions and processes to team members and stakeholders

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Minimum of years of experience in designing and maintaining AI infrastructure
• Strong experience with cloud computing platforms such as AWS, Google Cloud, or Azure
• Expertise in programming languages like Python, Java, or C++
• In-depth knowledge of data storage technologies such as Hadoop, Spark, or Cassandra
• Experience with containerization technologies like Docker and Kubernetes
• Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Keras
• Strong understanding of DevOps principles and experience with CI/CD tools
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Strong communication and collaboration skills

Join our team and make an impact: As an AI Infrastructure Engineer, you will have the opportunity to work on cutting-edge projects and contribute to the development of innovative AI solutions. We offer a competitive salary, comprehensive benefits package, and a collaborative and inclusive work environment. Come join us and be a part of our journey towards transforming industries with AI.