Required skill set:

● 0-4 years experience as a machine learning engineer/data scientist. (0-2 is suggested to be junior while 3-4 year experience is suggested to be intermediate level. However, interview performance will determine the level and is not limited by working years.)

● Strong DL for cases like image/audio/text classification.

● Strong NLP (LLM) knowledge on entity extraction. Multi-lingual LM and multi-modal LM experience are extremely preferred.

● Hands on experience on GenAI (LLM), and experts on prompt engineering.

● Machine learning pipeline knowledge and hands-on experience on Kubeflow or mlflow frameworks. This is highly desirable but not required.

● Strong Python knowledge is essential.

● Experience of training models with accelerators.

● knowledge and/or hands-on experience with performance tuning, like LORA etc, are desirable.

● Experience on deploying models and optimizing tradeoff among throughput, latency and cost, are desirable but not required.

● Exposure to MLOps / Data Engineering is highly desirable but not required.

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.

Requisition: J0073047