Senior MLE/MLOps Engineer

About ING Hubs

Following ING’s strategic ambition to deliver a superior eperience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated epertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.

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ING Hubs Turkiye core capabilities, , have us looking for data eperts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.

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ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an eisting 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 fleibility in our way of working – it is both our promise to you and what we look for in new colleagues. Let’s 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 eperiment 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 net 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

• perience.
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• cellent communication skills, capable of working collaboratively in a semi-remote, globally distributed team.
Hands-on eperience building comple
• data pipelines (e.g., in Apache Spark).
Hands-on e
• perience 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.
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• perience with monitoring and observability.
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• perience 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 eperience is rewarding. Here’s what you can epect when you join our organization:

Be Yourself, Be an ING'er

• Welcome Leave:Enjoy 14 days of welcome leave, even in your first year! Don’t 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 eploring PACE methodology with us.
• Global Eposure:Participate in global projects and epand 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.

Questions? Just ask
ING Recruitment team