Senior Machine Learning Engineer in COO Analytics

Think Forward! Our goal is to help people advance in life and business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you. 

What department?  

The Analytics Engineering Center of Excellence team, with over 50 members and expanding, aims to make ING data-driven by leveraging Big Data and Data Science to deliver impactful solutions. We foster a collaborative and creative work environment focused on supporting our people and projects. 

Role description  

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

Do you recognize yourself in this profile:  

• Experience working on machine learning projects 

• Practical experience developing with Python 

• Experience designing distributed software with cloud-based managed services (preferably GCP) 

• Familiarity with machine learning technologies and frameworks, such as sklearn, MLFlow, TensorFlow (including those available on GCP) 

• Understanding of MLOps architecture and methodologies 

• Knowledge of software engineering practices including version control, testing, documentation, and code review 

• Experience building data pipelines, including ETL processes and data processing frameworks like pySpark 

• Proficiency in data manipulation and transformation using tools such as SQL 

• Background in monitoring and observability with tools like the ELK stack 

• Experience implementing deployment and provisioning automation tools including Docker, Kubernetes, Openshift, and CI/CD 

Nice to have (but Not Required): Even if you don't meet every requirement, we encourage you to apply. Experience in these areas is a bonus: 

• Proficiency in Bash scripting and Linux systems administration 

• Experience in developing and maintaining high load APIs 

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

• Experience working within an agile/scrum framework 

• Willingness or ability to use multiple programming languages, such as statically typed languages 

• Contribution to open-source projects is considered advantageous 

• Involvement in the implementation and deployment of cloud solutions incorporating Generative AI and LLM technologies 

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. https://careers.ing.com/en/benefits-NL

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract

• Pension scheme

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