Senior DevOps Engineer for AI Model Training [Remote]
$20 - $70 per hourSaidGig
Remote
- Remote job
As a Senior DevOps Engineer, you will play a pivotal role in shaping the future of AI systems by designing and maintaining scalable infrastructure solutions. Your expertise will directly influence how models learn and perform, utilizing real-world input to enhance AI capabilities. This position is fully remote and offers a flexible contract arrangement. Key Responsibilities:
- Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
- Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
- Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
- Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
- Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.
- Document processes, architectures, and solutions clearly for technical and non-technical audiences.
- Champion a culture of transparent communication and knowledge sharing within the customer''s team.
- Expertise in Kubernetes orchestration and management of containerized applications.
- Hands-on experience with both AWS and GCP cloud platforms.
- Proven ability to develop automation scripts and tools using Python.
- Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.
- Excellent written and verbal communication skills and a collaborative mindset.
- Experience with monitoring, logging, and proactive system management.
- Strong problem-solving abilities in complex, distributed cloud environments.
- Certifications related to Kubernetes, AWS, or GCP.
- Prior work in AI/ML infrastructure or data-intensive environments.
- Familiarity with additional programming languages or automation frameworks.
Contract position with flexible hours, fully remote.
Compensation:Hourly pay ranges from $30 to $130.
Eligibility:No prior experience in AI is required; your domain knowledge is what matters.
Vacancy posted 7 days ago
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