Senior AI Engineer
Role details
Job location
Tech stack
Job description
As a Senior Machine Learning DevOps Engineer, you will design and build the ML DevOps infrastructure to streamline the deployment of data, models and software in a production-level environment. Be part of a multi-functional team and drive the automation of our development and operations processes thereby ensuring our delivery of AI applications for the Edge is effective and efficient!, * Coordinate the definition of workflows for Edge AI application development and build an end-to-end machine learning pipeline
- Define secure code practices and implement a repository management strategy for proprietary or open-source software
- Use continuous integration / continuous deployment and containerization techniques to deploy Machine Learning models to production
- Collaborate with application and platform developers, data scientists and ML engineers to identify tooling and automation needs and subsequent solutions
- Identify relevant metrics for DevOps and MLOps practices and use supervision tools to safeguard development efficiency and an operation performance
Requirements
- Proficiency with version control systems (e.g. Git), cloud platforms (e.g. AWS, Azure) and Infrastructure as Code tools (e.g. Terraform, Ansible, Packer)
- Strong background in defining a CI/CD/CT pipeline and building and maintaining a CI/CT/CD infrastructure (e.g., Jenkins, GitLab CI, GitHub Actions)
- Robust programming and scripting skills preferably in Python / C / C++, previous experience with Linux Systems and containers (e.g. Docker, Kubernetes)
- Degree or equivalent experience in Computer Science, Electronics, or a related field
"Nice To Have" Skills and Experience:
- Hands-on experience with CI/CT solutions for Embedded Systems (e.g. SiL / HiL) and monitoring tools (e.g. Prometheus/Grafana/ElasticSearch/Kibana)
- Knowledge in repository management tools (e.g. Gerrit, GitLab) and CI/CD pipelines for open-source projects
- Familiarity with ML frameworks (e.g. Pytorch, TensorFlow) and model testing
Benefits & conditions
Please note that no relocation package is available for this role.
Salary Range:$170,900-$231,200 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
About the company
Arm is the industry’s highest-performing and most power-efficient compute platform with unmatched scale that touches 100 percent of the connected global population. To meet the insatiable demand for compute, Arm is delivering advanced solutions that allow the world’s leading technology companies to unleash the unprecedented experiences and capabilities of AI. Together with the world’s largest computing ecosystem and 22 million software developers, we are building the future of AI on Arm.