Location: Vilnius, Lithuania

In AI services Enablement Squad, we Build and maintain a generic, scalable and govern platform for Data Science model of online models to enable an automated, compliant and efficient Model Life Cycle process. We use technologies like AWS , Databricks , pyspark, MLflow , Github actions.  

Our squad is responsible for hosting Python statistical and machine learning models, primarily serving the Data Science communities who develop these models on behalf of various enterprise domains within the bank.  

We manage AAPF (Advanced Analytical Platform for Fraud), which works alongside CMDEP (Containerized Management Deployment and Execution platform) to execute machine learning models for scoring payment transactions for fraud, including e-banking domestic/international and District International models deployed in CMDEP.  

Additionally, we are tasked with transforming the current On-Prem infrastructure into a Cloud-Native platform. 

The workplace is located in Vilnius. Danske Bank supports workplace flexibility (we currently use a hybrid work model, where we work at least 3 days in the office). 

This role does not include a relocation allowance.  

What will you be doing:  

As a MLOps IT Platform Engineer, you will work closely with the Product Owner and Chapter Lead, using agile methodologies. You will be responsible for developing and maintain scalable ML pipelines on futured MLOps platform built on AWS and Databricks.  

You will be tasked with ensuring seamless and automated transition of models from development to production using CICD workflows, implementing the infrastructure as code. You will ensure that our machine learning models operate reliably, efficiently and on a scale. 

Furthermore, you will:  

• Implement automated pipelines templates for model training, validation and inference full MLOPs platform using databricks asset bundles. 
• Build and maintain CI/CD workflows using Github actions and databricks jobs to ensure model code is versioned and seamlessly deployed to production. 
• Utilize tools like MLflow for model tracking, versioning and deployment. 

About you:  

• Minimum of 2 years of practical experience in MLOps platform to build model development deployment, execution and maintenance of ML pipelines using databricks. 
• Handson experience in – Databricks asset bundles, Databricks MLFlow, Databricks MLOps stack customization, GitHub Actions for Databricks model deployments, Data bricks Unity Catalog, databricks asset bundle, foundational LLM , Agentic AI  Terraform and YAML 
• Experience in Python, Pyspark.  
• Experience in GitHub and GitHub actions. 
• Problem-solving and debugging skills. 
• Good to have knowledge on managing scalable secure infrastructure required for ML workloads on databricks. 
• Understanding of Leveraging build, deploy and manage ML models using databricks as platform. 

We offer: 

Monthly salary range from 2720 EUR to 4080 EUR gross (based on your competencies relevant for the job). 

Additionally, each Danske Bank employee receives employee benefits package which includes: 

• Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities. 
• Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms. 
• Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience. 
• Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank. 
• Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution. 

See all the benefits HERE. 

Your job function (position) in the job contract will be Platform Engineering. 

We will conduct interviews on an ongoing basis, so if this has peaked your interest, don't hesitate to apply as soon as possible. 

Should you need more information about the position, please reach out to Chapter Lead, Dinesh Chunilal Chaudhari on dinc@danskebank.dk

In AI services Enablement Squad, we Build and maintain a generic, scalable and govern platform for Data Science model of online models to enable an automated, compliant and efficient Model Life Cycle process.