
Leading Machine Learning Infrastructure Specialist
2 days ago
We are seeking an experienced Machine Learning Engineer to join our team and contribute to the development of our machine learning pipeline. The ideal candidate will have a strong background in machine learning, software engineering, and cloud infrastructure.
This is a unique opportunity to work on large-scale machine learning projects, leveraging cutting-edge technologies and tools. Our team is passionate about delivering innovative solutions that drive business value.
In this role, you will be responsible for designing, implementing, and maintaining end-to-end ML infrastructure and automation solutions. You will collaborate closely with data scientists and stakeholders to identify infrastructure needs and streamline workflows.
The successful candidate will have a proven track record of experience in MLOps, DevOps, Data Engineering, and/or cloud infrastructure roles. They will also possess expert proficiency in cloud infrastructure management using Terraform and deep hands-on experience with major cloud platforms.
- Key Responsibilities:
- Design, implement, and maintain end-to-end ML infrastructure and automation solutions
- Collaborate with data scientists and stakeholders to identify infrastructure needs and streamline workflows
- Develop and maintain CI/CD pipelines for ML workloads
- BUILD AND OPTIMIZE MONITORING, ALERTING, AND LOGGING SYSTEMS FOR MODEL RELIABILITY AND PERFORMANCE
- Provide mentorship and technical guidance to junior engineers
Requirements:
- 5+ years of experience in MLOps, DevOps, Data Engineering, and/or cloud infrastructure roles
- Expert proficiency in cloud infrastructure management using Terraform
- Deep hands-on experience with major cloud platforms (AWS, Azure or GCP)
- Strong experience in building and maintaining CI/CD pipelines for ML workloads
- Proficiency with containerisation technologies (Docker, Kubernetes)
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