Senior MLOps Engineer

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 platform engineer on different projects within Analytics Engineering, helping data scientists train, deploy, monitor and productionize models. You will take part in developing and maintaining a 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, e.g. SQL 

• Programming in Python 

• 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 e.g. 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 e.g. ETL 

• System design and architecture 

• Bash scripting and Linux systems administration 

• Programming in a statically typed language, e.g. Scala, Java, Go 

• Experience with building distributed, large scale and secure applications 

• Experience working in cloud environment (e.g. 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 https://www.ing.jobs/netherlands/Why-ING/benefits.htm.

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

About us
With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

Questions?
Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.