Airbus is seeking an MLOps Specialist to enhance their team with a focus on Artificial Intelligence and Machine Learning. The role involves working with a multifunctional team to tackle future challenges of the transformation of the scientific computing ecosystem. The successful candidate will have strong knowledge of software development, design concepts, and principles, as well as experience with MLOps infrastructure and services.
Requirements
- Engineering graduate with 5-7 years of experience in engineering software applications
- Strong understanding of software development, design concepts and principles
- Proven track record of building and maintaining applications at scale for end to end implementation
- Strong knowledge with regard to the set-up and operation of MLOps infrastructure and services
- Good Linux skills, preferably on Redhat 7.x, Redhat 8.x, Redhat 9.x, Centos, and Ubuntu
- Advanced knowledge of different AWS Services
- Migrating complex solutions to AWS infrastructure
- Designing cloud & on-premise solutions architecture
- Strong knowledge on Cloud by design, Cybersecurity is a must
- Deep understanding of coupled, decoupled, loosely coupled architectures
- Experience with Continuous Integration and Continuous Deployment processes and tools
- Experience in setting-up of hybrid on-prem/cloud solutions including cloud enabled schedulers and MLOps environments
- Knowledge in working/integration with Large Language Processing(LLM)
- Knowledge on GCP Gemini shall be plus
- Experience in REST API integration within multi-cloud and hybrid environments
- Experience in building solutions with AWS Sagemaker services with ML Workloads is a must
- Working experience on Data Platforms (like Databricks or Snowflake or Palantier) is a must
- Experience in Model Development, model lifecycle management and deployment is a must
- Experience with Scientific Compute platforms architecture (HPC, scientific computing workspaces) is desirable
- Strong willingness to engage internal AI/ML customers and stakeholders
- Knowledge on Agile/ SAFe principle and Service Management best practices
- Experience in working with Version One, JIRA or other equivalent tools for Agile projects
- Experience in working with ServiceNow or other equivalent tools for incident, problem and change management
Benefits
- Extensive dedicated training programs
- Opportunities to travel
- Empowered to make the difference