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Azure MLOps Engineer
2 weeks ago
- Automating cloud infrastructure setup to manage Azure tenant and build CI/CD pipelines.
- Building resilient infrastructure to scale up e.g. model training and prediction.
- Building end to end monitoring solutions for machine learning pipelines, and their infrastructure.
- Developing other technical capabilities to enable large scale machine learning solutions.
- Being a key player in enabling and implementing cloud solutions and machine learning across the bank
- Minimum bachelor's degree in Computer Science, Machine Learning or a related field.
- Good knowledge with at least one of the major cloud technologies (e.g. Azure, AWS or GCP), preferably Azure.
- Experience as a Cloud/DevOps Engineer.
- Experience with building continuous integration and deployment pipelines on cloud platforms.
- Preferred experience with Machine Learning/Statistics.
- Has experience with productionizing Analytical models (implementing MLOps preferably with services like - Azure DevOps, Azure Databricks, Azure ML, ACI, AKS)
- Experience in infrastructure management and automation, Ansible (preferred) & Terraform – IaaC
- Preferred experience in Software Development.
- Preferred experience with DevOps in microservice context, familiar with container technologies (e.g. Docker and Kubernetes).
- A good team-player mentality.
- Familiar with technologies such as Databricks, Spark, TensorFlow, Pytorch etc.
- Hands-on experience with logging & visualization tools
- Familiar with agile software development process.
- An open, simple and caring culture
- Opportunity to create the best experience for our customers
- An international, sustainable and inclusive work environment
- Development opportunities and advancement in your career
- Flexible working options
- Access to Group performance program, company pension plan, optional health insurance, and other benefits
be a part of an international, diversified team of ML/Dev Ops Engineer professionals who are jointly building state of the art Advanced Analytics solution for delivering trusted data and analytical capabilities for the whole bank. We work in a collaborative way and we want to be the best at what we do, and we are always willing to learn and be inspired by new ideas. In our team you will play an important role in taking our Stakeholders to the next level in their Cloud and AI journey." Magdalena Zjakic, your future
We look forward to receiving your application byLocation: Stockholm
Contacts
Recruiting manager: Magdalena Zjakic
We may begin the selection during the application period, so we welcome your application as soon as possible.
We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services.
Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.
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