ING Hubs Poland is hiring!
The expected salary for:
expert position: 13 000 - 28 000 PLN
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are a dynamic and rapidly growing tech company, seeking a talented Machine Learning DevOps Engineer to join our team. The successful candidate will be responsible for developing platform and implementing fraud detection models within the banking sector.
We are looking for you if:
- You have experience with cloud platforms: GCP, Azure (DevOps).
- You have experience with GitHub, Airflow/Cloud Composer, Spark/DataProc, Terraform, containerization.
- You are proficient in data & software engineering with a special focus on distributed computing (Spark 3.5+).
- You are familiar with 'Clean Coding' paradigms and have programming experience in Python.
- You understand ML Ops and have been involved in ML model deployment.
- You are familiar with model development frameworks (Scikit-learn, Pandas, NumPy).
- You possess excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively.
- You have excellent communication and teamwork skills.
You'll get extra points for:
- Hands-on experience with code/compute optimization and tuning testing.
- Proven capability in handling large data sets for developing fraud detection models.
- Master's degree in computer science, statistics, data science or a related field.
- Experience with other machine learning frameworks and libraries.
- Certifications in relevant fields.
- Experience in the banking sector, particularly with fraud detection systems.
Your responsibilities:
- Code/compute optimizations & (unit) testing.
- Scheduling & distributing code on our data analytics platform.
- Working with shared model development codebase.
- Assist in model development/deployment.
- Collaboration with data scientists in squad.
- Maintenance.
English level: B2
Information about the squad:
Are you interested in becoming an integral part of a pioneering team that cooperates in designing, building, and implementing models in the realm of banking fraud detection? We employ a wide range of technologies. Our team enjoys the flexibility to experiment with cutting-edge technologies and techniques in the field of machine learning.
Our clientele includes various divisions of the ING Group, spanning countries such as the Netherlands, Germany, Spain, Italy, Poland, and Romania. By joining us, you will have the opportunity to implement and optimize machine learning models on a global scale, crafting innovative solutions for customers in diverse countries. We are committed to continuous professional development and offer every team member the chance to expand their skills and pursue their interests in a dynamic and collaborative environment.
Our team operates within a Scrum framework, and we're currently seeking an additional ML DevOps Engineer who will enrich our team.
The role naming convention in the global ING job architecture will be “Engineer IV”
Skills Required
- Experience with GCP and Azure DevOps
- Experience with GitHub, Airflow or Cloud Composer, Spark or Dataproc, Terraform, and containerization
- Proficiency in data and software engineering, particularly distributed computing with Spark 3.5 or newer
- Programming experience in Python and familiarity with clean coding practices
- Understanding of MLOps and experience with machine learning model deployment
- Familiarity with scikit-learn, Pandas, and NumPy
- Strong problem-solving, attention to detail, communication, and teamwork skills
- English proficiency at B2 level
- Experience with code or compute optimization and testing
- Experience handling large datasets for fraud-detection model development
- Master’s degree in computer science, statistics, data science, or a related field
- Experience with additional machine learning frameworks and libraries
- Relevant certifications
- Banking-sector experience, particularly with fraud-detection systems
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
