Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Building and maintaining end-to-end ML pipelines and Google Cloud infrastructure with an accent on agentic AI capabilities, tool calling, and orchestration. Focus on bridging the gap between data science and production engineering by transforming prototypes into reliable, high-performance solutions.

Location: Must be based in or able to work from Bucharest or Cluj-Napoca, Romania

Company

hirify.global Romania provides software development, data management, and risk services to ING units worldwide, operating with over 2000 professionals.

What you will do

• Design and maintain end-to-end ML pipelines using Vertex AI.
• Support Google Cloud infrastructure and programs following coding standards.
• Participate in technical analysis, design, and unit testing for tooling.
• Operate within a CI/CD environment and take ownership of code from development to production.
• Provide workshops and training to Data Scientists and Data Analysts.
• Set standards for ML engineering and drive best practices across the organization.

Requirements

• 5+ years of professional experience in software or ML engineering.
• Solid understanding of Python and OOP concepts.
• Experience with infrastructure as code and CI/CD processes.
• Familiarity with ML frameworks (Pandas, Numpy, Scikit-Learn) and Google Cloud tools (VertexAI, DataProc, BigQuery).
• Knowledge of agentic AI architectures and orchestration frameworks.
• Excellent English proficiency (speaking and writing).

Nice to have

• Knowledge of Nifi and Kafka.

Culture & Benefits

• Modern and agile working environment.
• Highly collaborative culture with a focus on constructive feedback.
• Opportunity to work on impactful, innovative banking solutions.
• Flexible way of working.