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Senior Mlops Engineer
hace 2 meses
About the Role
Tala is seeking a highly skilled Senior Mlops Engineer to join our team. As a key member of our infrastructure team, you will be responsible for designing, implementing, and maintaining scalable and robust infrastructure for our AI/ML systems.
Key Responsibilities
- Design and build cloud-based environments, containerization, and orchestration platforms for AI/ML systems.
- Develop and implement Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate the deployment, testing, and monitoring of AI/ML models and applications.
- Evaluate and integrate new tools, technologies, and frameworks to improve the efficiency and effectiveness of our MLOps processes.
- Design and manage Continuous deployment using Kubernetes, ArgoCD, and Jenkins.
- Maintain related container registry and model registry.
- Monitor infrastructure utilization and costs pertaining to model training, inference, and GPU utilization.
- Monitor and troubleshoot AI/ML systems to ensure high availability, performance, and reliability.
Requirements
- 4+ years of experience as a DevOps Engineer.
- 1 year of previous experience managing AI/ML infrastructure in public cloud environments.
- In-depth hands-on experience with at least one public cloud platform, preferably AWS.
- Experience with Python or any other programming language.
- Experience with Docker and Kubernetes in production.
- Experience with Continuous Deployment tools such as Jenkins or ArgoCD.
- Experience with Logging and Monitoring tools for SaaS such as Sumo, Splunk, Datadog, etc.
- Proficiency in English.