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Cloud Devops Engineer (Large Language Models)
Company | BASF |
Address | Mississauga, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Plastics Manufacturing,Chemical Manufacturing |
Expires | 2023-07-18 |
Posted at | 10 months ago |
You can be part of an inclusive team of diverse talent and character. In this diversity lies our greatest strength.
Description
Create Your Own Chemistry: What We Offer You
At BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world’s leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation.
Cloud DevOps Engineer (Large Language Models) (2300954)
Working Model: Hybrid
Location: Mississauga, ON
Where the Chemistry Happens…
Formula for Success: You Will…
- Share your knowledge and expertise with colleagues and promote a culture of innovation and excellence within the organization.
- Collaborate with AI researchers, data scientists, and other stakeholders to understand infrastructure requirements and optimize resource utilization.
- Design, implement, and maintain cloud-based infrastructure for fine-tuning, (re)train and deploy large language models and other state-of-the-art AI models.
- Automate and streamline the deployment, monitor, and scale of AI models and AI applications within Microsoft Azure.
- Continuously improve and optimize the infrastructure to support the development and deployment of state-of-the-art AI models.
- Ensure the security, reliability, and performance of the infrastructure, including data storage, compute resources, and network configurations.
Qualifications
Ingredients for Success: What We Look for in You…
- Excellent problem-solving, critical thinking, and communication skills.
- Strong experience with cloud platforms, preferably Microsoft Azure, including services such as Azure Machine Learning, Azure Kubernetes Service, and Azure Storage.
- Solid experience with script languages like Bash or Python.
- Familiarity with containerization technologies such as Docker, and orchestration tools like Kubernetes or Docker Swarm.
- Continuous learning to keep up with the rapid technological developments in the field.
- Solid understanding of DevOps principles, practices, and tools, including continuous integration, continuous deployment, and monitoring.
- Degree in Computer Science, Information Technology, or a related field.
- Proficient in infrastructure as code (IAC) tools, such as Terraform or ARM templates, and configuration management tools like Ansible or Chef.
Nice-to-have:
- Familiarity with AI ethics and responsible AI practices.
- Experience with other cloud platforms, such as AWS or Google Cloud.
- Relevant certifications, such as Microsoft Certified: Azure DevOps Engineer Expert or Azure Administrator Associate.
- Knowledge of data engineering and preprocessing, including handling large datasets and ensuring data quality.
- Proven track record of successful infrastructure operations, preferably in an industrial or corporate research setting.
- Prior experience working with large language models or AI infrastructure.
Create Your Own Chemistry: What We Offer You
Inclusion and Equal Opportunity Employment
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