GCP DevOps Engineer With AI/ML exp

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Job Overview

Prism IT Corp is seeking a skilled GCP DevOps Engineer with expertise in Artificial Intelligence and Machine Learning to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining infrastructure and deployment pipelines on Google Cloud Platform (GCP) that support AI/ML solutions. You will work closely with development and data science teams to ensure seamless integration and deployment of machine learning models and applications. Your technical proficiency will contribute to optimizing the development lifecycle, driving automation, and ensuring secure and efficient cloud operations.

Job Responsibilities

• Design and implement CI/CD pipelines for AI/ML applications on GCP.
• Collaborate with data scientists and engineering teams to deploy machine learning models.
• Optimize resource utilization and ensure high availability of GCP services.
• Monitor and analyze system performance, security, and reliability metrics.
• Implement infrastructure as code using tools such as Terraform or Cloud Deployment Manager.
• Automate deployment, scaling, and management of containerized applications using Kubernetes.
• Evaluate and improve cloud infrastructure for security, compliance, and cost-efficiency.
• Support incident response and troubleshooting for production systems.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in DevOps or Cloud Engineering roles.
• Proficient in Google Cloud Platform (GCP) services such as GKE, BigQuery, and Cloud Functions.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Strong knowledge of CI/CD tools, preferably Jenkins, GitLab CI, or CircleCI.
• Familiarity with Docker and Kubernetes for container orchestration.
• Solid understanding of networking, security, and cloud architecture best practices.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Technologies & Tools

The GCP DevOps Engineer will utilize a range of technologies and tools, including but not limited to Google Cloud Platform (GCP), Terraform for infrastructure as code, Kubernetes for container orchestration, Jenkins or GitLab CI for continuous integration, Docker for containerization, and AI/ML tools such as TensorFlow, PyTorch, or similar frameworks to develop and deploy machine learning models effectively.

Ideal Candidates

The ideal candidate for this position will demonstrate a blend of technical expertise, innovative mindset, and proactive problem-solving skills. You should possess strong communication abilities to effectively collaborate with diverse teams and present technical concepts to non-technical stakeholders. A passion for continuous learning and staying abreast of industry trends in AI/ML and cloud technologies will be highly valued. Furthermore, successful candidates will exhibit adaptability, resilience, and a commitment to excellence in the rapidly evolving tech landscape.