Machine Learning DevOps Engineer
At a glance
Mid-level Machine Learning Engineering role at ING. Warszawa · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Tune code and computing, then add unit tests to check the work
- Schedule jobs and distribute code across the data analytics platform
- Contribute to a shared model-development codebase and help build and deploy models
- Work with data scientists in the squad and maintain the platform
What you bring
- You have Python programming experience and can apply clean-coding practices
- You have worked with cloud platforms such as GCP or Azure, plus the listed engineering tools
- You understand ML operations and have participated in deploying machine-learning models
- You bring data and software engineering skills, particularly in distributed computing with Spark
Who this fits
This mid-level role suits an engineer who can work independently and alongside data scientists in a Scrum team. You need English at B2 level. The work focuses on deploying and optimizing fraud-detection models for banking.
From the employer
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”