Machine Learning Engineer

• REQ
• 20/01/2026
• IT Engineering
• Makati City, Filipijnen
• ING Hubs

Machine Learning Engineer (MLE)

Background on what ING is about:

ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.

At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.

ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking

Job Overview

We are seeking a passionate professional eager to work with cutting-edge technologies in the dynamic field of Machine Learning Engineering. This role offers the opportunity to innovate, build, and deploy advanced solutions that leverage the latest advancements in AI and ML, driving impactful outcomes across our organization.

Key Responsibilities

E

• perience in creating, training, evaluating, and fine-tuning AI models (including working with vectorizers, embeddings, etc.).
• Understanding of MLOps architecture and methodologies (e.g., CI/CD or pipeline automation).
• Applied software engineering best practices, including version control, testing, documentation, and code review.
• Data Collection and Preparation: Gather, clean, and preprocess large datasets for training and testing and ensure data quality, representation, and compliance with governance standards.
• Staying updated on emerging ML technologies, frameworks, and best practices.
• Collaborative: Can work closely with data scientists, software engineers, and product teams.

Key Capabilities/Eperience

Hands-on development e

• perience with Python.
  E- perience designing distributed software using cloud-based managed services (preferably GCP or Azure).
  E- perience implementing deployment and provisioning automation tools such as Docker, Kubernetes, OpenShift, and CI/CD pipelines.
• Familiarity with machine learning technologies and frameworks, such as Scikit-learn, MLflow, TensorFlow (including those available on GCP).
  E- perience building data pipelines, including ETL processes and data processing frameworks like PySpark.
• Proficiency in data manipulation and transformation using tools such as SQL.

Minimum Qualifications:

Hard skills: E

• perience in using Python, GCP or Azure, Scikit-learn, MLFlow, Openshift or Kubernetes, ETL development using SQL or Pyspark, worked with CICD pipelines.

• Soft Skills: Communication skills, Collaborative attitude, Socially Aware/Intelligent

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ING Recruitment team

Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.