IT Platform Engineer for MLOps (Machine Learning) Area

In Data Science Platform 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 Open-Shift to build Containerized platform for Hosting Model execution & Deployment.

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 position is in Denmark and is available in both Aarhus and Copenhagen.

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 to develop 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, implement the infrastructure as code. You will ensure that our machine learning models operate reliably, efficiently and at scale.

Furthermore you will;

• Implement automated pipelines templates for model training, validation and inference full MLOPs platform.
• 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.

What we imagine you bring:

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

You must hold a Danish work permit, as we do not offer relocation.

What we offer

You will benefit from a highly attractive benefits package offering health and dental insurance, pension, phone and other benefits. You will also have flexible work hours, with 6 weeks of vacation and 5 care days to ensure your work-life balance.

Would you like to join us

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