Senior Machine Learning Engineer in COO Analytics
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Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Think Forward! Our goal is to help people advance inlifeand 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 byleveragingBig 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 assklearnMLFlow TensorFlow (including those available on GCP)
Understanding ofMLOpsarchitecture 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 likepySpark
Proficiencyin 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 KubernetesOpenshift and CI/CD
Nice to have (but Not Required):Even if youdontmeet every requirement we encourage you to apply. Experience in these areas is a bonus:
Proficiencyin Bash scripting and Linux systems administration
Experience in developing andmaintaininghigh 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 consideredadvantageous
Involvement in the implementation and deployment of cloud solutions incorporating Generative AI and LLM technologies
Rewards and benefits
We want to make sure that its possible for you to strike the right balance between your career and your private life. 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 the recruiter attached to the advertisement. Want to apply directly Please upload your CV and motivation letter by clicking the Apply button.
Required Experience:
Chief
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
ING Global Career Opportunities - Welcome to 'careers at ING'. We give you the space to develop yourself as an intern, trainee and professional. Check out our opportunities. Jump on!
