Senior Machine Learning Engineer in COO Analytics at Ing Firm

, , Netherlands -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Cloud Computing, GCP, MLOps, Software Engineering, Data Pipelines, ETL, SQL, Monitoring, Observability, Docker, Kubernetes, CI/CD, Bash Scripting, APIs, Agile

Industry

Banking

Description

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 13th month salary 8% Holiday payment Hybrid working Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues About us Curious about how ING empowers people and businesses to move forward? https://careers.ing.com/en/working-in-the-netherlands Questions? Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button. We hire people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on more responsibility. In return, we’ll back you to develop into an even more awesome version of yourself. With around 57,000 employees in over 40 countries, there is no shortage of opportunities. Show us initiative and we’ll let you make a difference. ING is a great place to join. We work in a highly dynamic environment where people are trusted to make decisions and every voice gets heard. If you have an idea how to make things better, you’ll be encouraged to make it happen – regardless of your position. We’d love to meet you.

Responsibilities

The role involves working with the latest technologies in Machine Learning Engineering to develop impactful solutions. The focus is on leveraging Big Data and Data Science within a collaborative and creative environment.