Job Title: Machine Learning Engineer – Tribe AI

Department: ISPL ITG Fortis ADM

About Business Line/Function

BNP Paribas Fortis is a key player on the Belgian market and a driver of economic growth. Within the entity The Tribe Artificial Intelligence aims to deliver an effective and seamless banking experience for our customers and empower our employees through AI. Our expert team of approximately 90 experts includes Data Scientists, Machine Learning Engineers, Business Analysts, Scrum Masters, Product Owners and Managers. We develop AI applications to address various business challenges, including virtual assistants to enhance client experiences, advanced AI tools to support employee efficiency and creativity, and automation to optimize internal processes.

Position Purpose

You will drive the industrialization of AI solutions, ensuring they are reliable, scalable, and aligned with technical best practices. You will act as the key bridge between Data Scientists and IT Production team,



translating business needs into production-ready ML pipelines while anticipating technological advancements.

As part of the Machine Learning Engineers Chapter, you will collaborate closely with Brussels-based teams, maintaining seamless Data sourcing for the Tribe’s AI use cases, and help the teams maintain a high level of obsolescence management and security in the python environments. Your role is both strategic and operational, transforming prototypes into high-performance AI services while fostering excellence in MLOps, code quality, and cross-team collaboration.

Responsibilities

Direct Responsibilities

As a ML Engineer you will be part of a team that is responsible of the following operational activities:
Design, Maintain and optimize data sourcing pipelines using ETL, CFT, Denodo (data virtualization), and Airflow to ingest, transform, and expose data for AI/ML use cases. Ensure seamless integration of new data sources (internal/external APIs, databases, or streaming plat

📌 Machine Learning Engineer (India)
🏢 BNP Paribas
📍 India