Machine Learning Engineer @ COOA (gen - ai CDD)

Think Forward!

Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a 'no nonsense' getting-things done mentality, please read on!

The Analytics Engineering Team

The Analytics Engineering team is a team of 50+ 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.

Roles and Responsibilities

Your passion is to work with the latest and greatest technologies in the field of Machine Learning Engineering.

• Relevant work experience in ML projects
• Production-grade experience with Python development
• Work experience with distributed software design using Cloud-based managed services (preferably GCP)
• 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
• Experience in setting up both SQL as well as noSQL databases
• Experience with monitoring and observability (ELK stack)
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD
• Relevant work in implementation and productionalization of cloud solutions using Generative AI and LLM technologies.

How to Succeed

We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.

Nice to have:

• Experience working in cloud environment (e.g. GCP)
• Hands-on experience building complex data pipelines e.g. ETL
• Solid understanding of DevOps practices
• System design and architecture
• Bash scripting and Linux systems administration
• Experience with high load API development and maintenance
• Experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink)
• Good understanding of databases including RDBMS, non-SQL and time-series databases
• Experience with working in an agile/scrum way
• Experience or openness to be polyglot, e.g. statically typed language
• Being a committer to Open-Source projects is a strong plus

Rewards and Benefits

We want to make sure that it's possible for you to strike the right balance between your career and your private life. The benefits of working with us at ING include:

• A salary tailored to your qualities and experience
• 25-28 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. Please note, multiple interview steps involving various business stakeholders will be part of the selection process.