MLOps/Cloud Engineer
hace 3 días
Galeo develops projects for clients, focusing on public cloud and IoT platforms. We are looking for MLOps engineers with experience in automating ML model lifecycles, running training jobs, drifting detection, and batch predictions. You will work with AWS, Azure, and GCP, implementing MLOPS projects and collaborating with DevOps colleagues. Our ideal candidate has at least 2 years of experience with MLOPs, knowledge of Azure Machine Learning and AWS SageMaker, and expertise in log collection and infrastructure monitoring.
**Company Overview**: Galeo is a project development company that designs, develops, deploys, and maintains projects for clients. We focus on public cloud and IoT platforms, and our forte lies in Big Data platforms. We like to be innovative and try new technologies, including automation of project components.
**Salary**: Our competitive salary is complemented by an attractive performance-based bonus. Your annual training and certification objectives will be customized and designed together with the company. You will have real access to certifications such as AWS, Azure, GCP, Kubernetes, Terraform, Confluent, and DataBricks.
**Job Description**: As an MLOps engineer, your main functions will be working in the systems and devops team, servicing diverse projects and technologies. You will be the reference in the implementation of MLOPS projects, being able to delegate work to other DevOps colleagues if necessary. You will work in AWS, Azure, and/or GCP, mainly complementing us on Azure and AWS. Other traditional DevOps tasks will include Terraform, Cloudformation, Jenkins, Code Pipelines, and Azure Devops.
**Required Skills and Qualifications**: To succeed in this role, you should have at least 2 years of experience with MLOPS. Experience in public cloud, mainly AWS and Azure, is required. Knowledge of Azure Machine Learning and related tools, as well as AWS SageMaker and related tools, is also essential. Valuable skills include experience in log collection and infrastructure monitoring.
**Benefits**: At Galeo, we offer a competitive salary, a performance-based bonus, and a training and professional growth plan. All GALEO engineers have annual training and certification objectives, customized and designed together with the company. You will have real access to certifications such as AWS, Azure, GCP, Kubernetes, Terraform, Confluent, and DataBricks. We also offer an informal, flexible, and friendly work environment, with options for teleworking or working from our office in Madrid.
**Others**: We value what is not written here, and what matters to us is your ability to absorb new knowledge and grow with the company. If you are passionate about innovation and technology, and want to join a dynamic and growing company, apply now
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