Senior MLOps Engineer
Danske Bank
Dato: for 1 uge siden
By: København, Region Hovedstaden
Kontrakttype: Fuld tid
Job Description
Are you a skilled ML engineer with a proven track record of deploying and managing Machine Learning model in production environments? Do you have a passion for automation, scalability and optimizing AI workflows? If so, we want you to join our team as a Senior ML Engineer.
About The Role
Danske Bank has a clear strategy to remain a leading Nordic Universal Bank. This will be achieved by continuing to develop our digital bank.
As part of the Commercial Data Science Center of Excellence you will be working in our office in Vilnius and sit in central part of Danske Banks commercial organisation. We support all 4 Nordic countries (Denmark Sweden, Norway and Finland) with Machine Learning solutions.
We work closely with the development organization to deliver and integrate Machine Learning solutions in our product offering such as the Mobile Bank, eBank, website and frontline advisors.
We develop a wide range of models that identify customer needs used to present the customer with their Next-Best-Action and optimize our marketing activities. Using data from customer interaction (messages, chats and calls) we develop NLP solutions that help provide automatic replies and digital routing to create a better customer experience and lower costs from manual processes/handling.
Ultimately you will be working towards developing self-running AI and ML software to automate predictive models for recommendation, GenAI customer self-service
We are a diverse team of Data Scientists, Data Engineers and ML Engineers with colleagues in both Denmark, India and Lithuania. We have a very research oriented culture and aim at staying up to date through various research projects with university partnerships across the greater Copenhagen area.
The Commercial Data Science CoE is part of Commercial Excellence where the commercial execution takes place. We play a vital role in developing ML solution that support strategic initiatives and commercial activities.
We aim at creating a good social atmosphere by arranging events such as hackathons, board game nights, team days etc.
About You
Do you recognise yourself in many of these statements?
Please submit your CV and a cover letter outlining your relevant experience. We are processing applications on a continuous basis so please apply as soon as possible. If you have further questions, you are welcome to contact Rasmus Gansted Brink, Head of Commercial Data Science COE on [email protected]
We are looking forward to receiving your application.
Are you a skilled ML engineer with a proven track record of deploying and managing Machine Learning model in production environments? Do you have a passion for automation, scalability and optimizing AI workflows? If so, we want you to join our team as a Senior ML Engineer.
About The Role
Danske Bank has a clear strategy to remain a leading Nordic Universal Bank. This will be achieved by continuing to develop our digital bank.
As part of the Commercial Data Science Center of Excellence you will be working in our office in Vilnius and sit in central part of Danske Banks commercial organisation. We support all 4 Nordic countries (Denmark Sweden, Norway and Finland) with Machine Learning solutions.
We work closely with the development organization to deliver and integrate Machine Learning solutions in our product offering such as the Mobile Bank, eBank, website and frontline advisors.
We develop a wide range of models that identify customer needs used to present the customer with their Next-Best-Action and optimize our marketing activities. Using data from customer interaction (messages, chats and calls) we develop NLP solutions that help provide automatic replies and digital routing to create a better customer experience and lower costs from manual processes/handling.
Ultimately you will be working towards developing self-running AI and ML software to automate predictive models for recommendation, GenAI customer self-service
We are a diverse team of Data Scientists, Data Engineers and ML Engineers with colleagues in both Denmark, India and Lithuania. We have a very research oriented culture and aim at staying up to date through various research projects with university partnerships across the greater Copenhagen area.
The Commercial Data Science CoE is part of Commercial Excellence where the commercial execution takes place. We play a vital role in developing ML solution that support strategic initiatives and commercial activities.
We aim at creating a good social atmosphere by arranging events such as hackathons, board game nights, team days etc.
About You
Do you recognise yourself in many of these statements?
- Deep knowledge (5+ years) of MLOps from previous hands-on roles or solid experience as an ML Engineer
- Ability to set a product vision and deliver on a roadmap
- Self-driven with an ability to work individually and with others in the team and organisation
- Outcome-oriented with a focus on delivering
- Strong communication and collaboration skills, with the ability to bring the right stakeholders together
- Curious about product development, technology trends with a thirst for knowledge and self-improvement
- Deployment and training of LLM’s
- Experience with following or similar:
- Python
- Spark/PySpark
- Airflow
- SQL
- Public Cloud providers (preferably AWS)
- Databricks
- FAST API
- MLFlow
- Monitoring frameworks (Prometheus, Graphana etc.)
- Containerisation (ex. Kubernetees, Docker, Openshift)
- CI/CD pipelines
- Git/Azure DevOps
- Plus: Interest or hands-on experience within ML & AI
- Plus: Ability to navigate in a large global organization
Please submit your CV and a cover letter outlining your relevant experience. We are processing applications on a continuous basis so please apply as soon as possible. If you have further questions, you are welcome to contact Rasmus Gansted Brink, Head of Commercial Data Science COE on [email protected]
We are looking forward to receiving your application.
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