
Machine Learning Engineer
at ING Bank
Posted 6 days ago
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- Compensation
- Not specified
- City
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Join ING Hubs Turkiye in Istanbul as a Machine Learning Engineer working with data scientists to streamline taking ML models to production, maintain and monitor them, and participate in designing models and data preprocessing. You will tune performance of ML models, build data pipelines, and contribute to MLOps practices in a cross-functional, semi-remote team. The role requires hands-on ML experience and familiarity with frameworks like scikit-learn and MLFlow, and a strong software engineering mindset.
About ING Hubs
Following INGโs strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
๐๐๐๐ ๐๐๐ก ๐๐ ๐๐๐๐๐๐, ๐ ๐๐๐๐๐๐, ๐๐๐๐ฃ๐๐๐๐, ๐กโ๐ ๐โ๐๐๐๐๐๐๐๐๐ ๐๐๐ ๐๐ข๐๐๐๐ฆ๐, ๐ผ๐๐บ ๐ป๐ข๐๐ ๐๐๐๐๐๐ฆ ๐๐๐๐ ๐กโ๐๐ 11,000 ๐๐๐๐๐๐ ๐ ๐๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐ ๐ ๐ข๐โ ๐๐ ๐ ๐๐๐ก๐ค๐๐๐ ๐๐๐ฃ๐๐๐๐๐๐๐๐ก, ๐๐๐ก๐ ๐๐๐๐๐๐๐๐๐๐ก, ๐๐๐๐๐๐ก๐๐๐๐ ๐๐ ๐๐๐-๐๐๐๐๐๐๐๐๐ ๐๐๐ ๐.
ING Hubs Turkiye core capabilities, ๐๐๐ญ๐๐ข๐ฅ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐๐ง๐ ๐๐๐๐ก, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
๐๐ข๐ฌ๐๐จ๐ฏ๐๐ซ ๐๐๐ ๐๐ฎ๐๐ฌ ๐๐ฎฬ๐ซ๐ค๐ข๐ฒ๐
ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
We value strong work ethics, knowledge sharing and flexibility in our way of working โ it is both our promise to you and what we look for in new colleagues. Letโs meet!
The Team
Within ING, there is ING Analytics (INGA) - a major driving force in its digital transformation of the bank.
By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING to become a leader in data-driven decision-making. Among others, INGA delivers call & speech analytics, generative AI in risk summarization, insights into portfolio performance, advanced ESG data insights (commercial purposes), data analytics platforms (cloud and on-premises), and many more.
Roles and Responsibilities
We are looking for a MLE to join us in Istanbul. In this role, together with the data scientists, you will be responsible for streamlining the process of taking machine learning models to production, maintaining, and monitoring them. You will participate in designing and building the models, data pre-processing, performance tuning of ML models, and more.
We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills. We hire people based on an evaluation of their potential and support them throughout their time in Katowice. Come join us!
A working day in the life of a Machine Learning Engineer
A typical day for a machine learning engineer starts with coffee, catching up with colleagues, and drafting a plan for the coming day. After the standup, you may start analyzing algorithms to identify which of them works well with the problem you are trying to solve. For the rest of the morning, you could experiment in Jupyter notebook using Scikit Learn or use IDE to continue developing a class that implements a model or interfaces with the database.
After lunch, meet with the team to discuss the next iteration of the product, or go over new features that need to be implemented and discuss how to create or calculate those features. Wrap up the day working on the monitoring tool for machine learning models.
How to succeed
Minimum Qualifications
- Bachelor's degree or equivalent practical experience.
- Excellent communication skills, capable of working collaboratively in a semi-remote, globally distributed team.
- Hands-on experience building complex data pipelines (e.g., in Apache Spark).
- Hands-on experience with technologies and frameworks used in ML (e.g., sklearn, MLFlow, etc.)
- Knowledge of software engineering best practices (versioning, testing, documentation, etc.)
Preferred Qualifications
- Curious mindset; you are collaborative and passionate about helping others to grow and improve.
- Knowledge of MLOps architecture and practices.
- Experience with monitoring and observability.
- Experience with deployment and provisioning automation tools and concepts, e.g., Docker, Openshift, CI/CD.
- Good understanding of different data storages (e.g., RDBMS, non-SQL, and time-series databases).
What We Offer at ING Hubs Turkiye
At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Hereโs what you can expect when you join our organization:
Be Yourself, Be an ING'er
- Welcome Leave:Enjoy 14 days of welcome leave, even in your first year! Donโt postpone your dreams.
- Career Opportunities:We provide self-driven career paths where you can navigate your professional journey.
- Personal Growth:Engage in challenging work with endless opportunities to achieve your ambitions.
- Dynamic Environment:Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
- Innovation Culture:Share your innovative ideas while exploring PACE methodology with us.
- Global Exposure:Participate in global projects and expand your career opportunities.
- Communication & Celebrations:Enjoy various communication activities and celebrations that promote a friendly work environment.
- Health Care:Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
- Private Pension Plan:Secure your future dreams with our private pension plan.
At ING Hubs Turkiye, your growth and happiness are our priorities. Join us and unlock your true potential in a fulfilling workplace!

