At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation. **Job Summary** Iron Mountain is seeking a motivated **Machine Learning (ML) Engineer** to join ourAsia-Pacific (APAC) Solutions Engineering teamon a **1-year fixed-term contract** . In this role, you will be responsible for the end-to-end design, development, and deployment of Machine Learning models—specifically focusing on supervised and unsupervised learning for digital content—to deliver robust solutions on the Iron Mountain Platform. As part of the APAC Solutions Engineering team, you will work at the intersection of innovation and execution, transforming complex customer requirements into functional Proof of Concepts and scalable production services. **What You’ll Do** In this role, you will: + **Responsibility 1:** Design and develop scalable Machine Learning models for classification and entity extraction, ensuring high-quality code and effective integration with back-end components and client-facing applications. + **Responsibility 2:** Collaborate with Project Managers, Solution Architects, and Quality Assurance teams to translate user requirements into technical solutions and ensure the validity of all deliverables. + **Responsibility 3:** Manage the full deployment lifecycle—including testing, debugging, and issue resolution—to ensure compliant and timely implementation across development, Quality Assurance (QA), and production environments. **What You’ll Bring** The ideal candidate will have: + **5+ years** of professional experience as a Machine Learning/Artificial Intelligence (AI) Engineer or Data Scientist, with a proven track record in an Agile environment. + **Strong knowledge** of Python programming, Machine Learning/Deep Learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), and experience fine-tuning Large Language Models (LLM). + **Proven ability** in Cloud Technologies (Amazon Web Services or Google Cloud Platform) and deploying microservices via Python frameworks like Django, Flask, or FastAPI. + **Bachelor’s or Master’s degree** in Computer Engineering or a related technical field. Category: Information Technology Iron Mountain is a global leader in storage and information management services trusted by more than 225,000 organizations in 60 countries. We safeguard billions of our customers’ assets, including critical business information, highly sensitive data, and invaluable cultural and historic artifacts. Take a look at our history here. Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Please see our Values and Code of Ethics for a look at our principles and aspirations in elevating the power of our work together. If you have a physical or mental disability that requires special accommodations, please let us know by sending an email to accommodationrequest@ironmountain.com. See the Supplement to learn more about Equal Employment Opportunity. Iron Mountain is committed to a policy of equal employment opportunity. We recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. To view the Equal Employment Opportunity is the Law posters and the supplement, as well as the Pay Transparency Policy Statement, CLICK HERE **Requisition:** J0097630