Position Overview
The Machine Learning Engineer – Tribe AI will join the ISPL ITG Fortis ADM unit of BNP Paribas Fortis, operating from the Chennai delivery centre while synchronising with the Brussels‑based AI Tribe. In this role you will be responsible for industrialising AI solutions, turning data‑science prototypes into reliable, scalable, production‑grade machine‑learning services. Acting as the key bridge between Data Scientists, IT Production, and security teams, you will champion MLOps best practices, enforce code‑quality and security standards, and ensure a seamless flow from model development to deployment across the bank’s AI ecosystem.

Job Responsibilities
Design, build, and optimise data‑sourcing pipelines (ETL, CFT, Denodo, Airflow) for AI/ML use cases; integrate new internal/external APIs, databases and streaming sources in line with data‑governance and latency targets.
Maintain and audit Python environments (uv, pip, mamba/micromamba); upgrade obsolete libraries and ensure version compatibility across dev, test and prod.
Conduct regular vulnerability scans,



apply security patches, and automate compliance checks in CI/CD pipelines to block vulnerable code.
Support CI/CD workflows (Jenkins, GitLab CI/CD) for containerised ML models (Docker/Kubernetes); manage versioning, roll‑backs and deployments.
Troubleshoot and resolve incidents in QA/Production, coordinating with the PROD IT team to minimise downtime.
Collaborate with Data Scientists and production teams to define production‑ready architectures that meet real‑time and high‑volume requirements.
Promote software‑engineering standards: code quality, secure coding, comprehensive logging and monitoring.
Stay current on AI/ML advances (LLMs, agentic AI) and propose innovations that accelerate time‑to‑market.

Required Education, Skills, AND Experience (MUST‑HAVE)
Master’s degree (or equivalent) in Computer Science, IT or a related field; minimum 6 years of qualified experience.
≥ 4 years of expert‑l

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