Senior MLOps Engineer

1 maand geleden

Amsterdam, Nederland ING Voltijd

The Team

The Analytics Engineering team is a team of 150+ people (and growing rapidly) that has the mission to make ING data-driven. We do this by combining Big Data technology with Data Science to deliver high-value solutions and products for our organization. We work in a fun and creative environment, and we’re dedicated to bringing out the best in both each other and our projects.

Information about the squad:

We are building cloud ready state of the art Data Analytics Platform to help ING to be even more data driven. This is a joined effort between ING units, and you are going to be part of distributed multi-national and multi-cultural team. There is plenty of work and fun down this road. You can join team of 7 engineers (ML Platform Engineers, MLOps Engineers) that have already delivered Machine Learning Platform on on-prem and starts working on Google Cloud Platform.

Roles and responsibilities

Your passion is to work with the latest and greatest technologies in the field of Machine Learning Engineering. You will work as a machine learning platformengineer on different projects within Analytics Engineering, helpingdata scientists train, deploy, monitor and productionizemodels. You will take part in developing and maintaininga data execution platform, keep an eye on good coding practices, and create re-usable code.

How to succeed

Relevant work experience in ML projects

Hands-on technologies and frameworks used in ML, like sklearn, MLFlow, TensorFlow

Knowledge of MLOps architecture and practices

Familiar with software engineering practices like versioning, testing, documentation, code review

Knowledge of data manipulation and transformation, . SQL

Programming inPython

Experience with Apache Airflow and Mflow

Experience in setting up both SQL as well as noSQL databases

Experience with monitoring and observability

Experience in Kubernetes (deployments and managing Kubernetes applications),Deployment and provisioning automation tools . Docker, Openshift, CI/CD

Affinity with Advanced Analytics, Data Science, NLP

Nice to have :

Experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink)

Hands-on experience building complex data pipelines . ETL

System design and architecture

Bash scripting and Linux systems administration

Programming in a statically typed language, . Scala, Java, Go

Experience with building distributed, large scale and secure applications

Experience working in cloud environment (. GCP)

Good understanding of databases including RDBMS, non-SQL and time-series databases

Experience with working in an agile/scrum way

Being a committer to Open Source projects is a strong plus

Rewards & benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at.

The benefits of working with us at ING include:

A salary tailored to your qualities and experience 

24-27 vacation days depending on contract

Pension scheme

13th month salary

Individual Savings Contribution (BIS), 3.5% of your gross annual salary

8% Holiday payment

Hybrid working to blend home working for focus and office working for collaboration and co-creation

Personal growth and challenging work with endless possibilities

An informal working environment with innovative colleagues

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