Principal Core Infrastructure Engineer

Job summary

As a Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer), you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our customers AI and machine learning initiatives.

Qualifications

• for training, testing, and deploying machine learning models.
• Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity.
• Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques.
• Ensure security and compliance standards are met throughout the AI/ML infrastructure stack, including data encryption, access control, and vulnerability management.
• Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime.
• Stay updated on emerging
• Experience in scripting and automation using
• Strong proficiency in at least one of the programming languages such as Python, Rust, Go, Java, or Scala
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus.
• Familiarity with DevOps practices and
• for a moderately sized project or initiative.

Responsibilities

• Strategic Thought Leadership:
• You should also have a demonstrated ability to think strategically about business, products, and technical challenges.
• Business Experience:
• Understand the challenges in working with large customers.
• Planning & Execution:
• Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to

Skills

Degrees

Work schedule

Industry

Company size