Senior MLOps Automation Engineer - AV Infrastructure

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Job Overview

The Senior MLOps Automation Engineer for AV Infrastructure at NVIDIA plays a pivotal role in streamlining machine learning operations to enhance the performance and reliability of AV systems. In this position, you will work closely with cross-functional teams to design, implement, and optimize automation frameworks that support the deployment and scaling of ML models in a production environment. The role requires a solid understanding of both machine learning principles and the intricacies of automation processes, ensuring that NVIDIA remains at the forefront of AV infrastructure innovation.

Job Responsibilities

• Design and implement MLOps frameworks to automate the deployment and monitoring of machine learning models.
• Collaborate with data scientists and software engineers to streamline model development and production processes.
• Manage and optimize CI/CD pipelines to facilitate rapid and reliable model deployment.
• Analyze system performance metrics to ensure optimal functioning of AV infrastructure.
• Develop and maintain tools and scripts to automate routine tasks related to model lifecycle management.
• Implement robust logging and alerting systems to monitor ML workflow performance.
• Participate in code reviews and contribute to best practices for software development and automation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in an MLOps or automation engineering role, preferably within machine learning environments.
• Strong programming skills in Python, along with experience in scripting languages such as Bash.
• Proficient in cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with containerization and orchestration technologies like Docker and Kubernetes.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Sound understanding of CI/CD pipeline tools, including Jenkins, GitLab CI, or similar tools.

Technologies & Tools

The Senior MLOps Automation Engineer will utilize a variety of technologies and tools, including but not limited to Python for automation scripts, cloud services (AWS, Azure) for deployment and scaling, Docker for containerization, and Kubernetes for orchestration. Additionally, familiarity with CI/CD tools such as Jenkins and version control systems like Git will be essential for effective collaboration and efficiency.

Ideal Candidates

An ideal candidate for the Senior MLOps Automation Engineer position at NVIDIA will possess a strong blend of technical expertise and problem-solving abilities. They will be detail-oriented, able to prioritize effectively in a fast-paced environment, and demonstrate excellent communication skills for collaboration across teams. A proactive mindset, enthusiasm for innovative technologies, and a commitment to continuous learning are essential traits for success in this role.