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sre - ai&ml
1 week ago
Site Reliability Engineer (SRE) - Machine Learning and AI Platform
Are you interested in playing a crucial role in designing and maintaining a top-notch infrastructure to support machine learning and artificial intelligence initiatives? Join our team as a Site Reliability Engineer (SRE) specializing in Machine Learning and AI Platform and work closely with data scientists, software engineers, and product managers to ensure the reliability, availability, and efficiency of our ML/AI platform.
Key Responsibilities:
- Design and implement robust, scalable, and automated infrastructure solutions.
- Identify and address performance bottlenecks, reliability issues, and security vulnerabilities.
- Collaborate with AI engineering teams to define best practices for deploying and managing machine learning models.
- Optimize infrastructure components for cost-effectiveness, scalability, and performance.
- Ensure platform performance, security, and compliance standards are met.
- Troubleshoot and resolve platform-related issues.
- Provide technical guidance and mentorship.
- Improve automation framework and scripts for company-wide solutions.
- Support top priority initiatives and maintain technical standards.
- Ensure delivered solutions align with enterprise standards and quality requirements.
Deliverables:
- Architect and deploy highly available infrastructure for hosting machine learning models.
- Implement automated deployment pipelines for ML/AI models.
- Develop monitoring and alerting systems for platform health and performance.
- Create documentation and provide training on best practices.
- Contribute to internal tools and frameworks development.
Qualifications:
- 5-10 years of experience.
- Academic Degree in BE, BTech, MCA, or M.Sc.
- Extensive experience in cloud-based infrastructure solutions.
- Proficiency in Docker, Kubernetes, Python, and Terraform.
- Experience with Prometheus, Grafana, and ELK stack.
- Strong problem-solving and communication skills.
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