XOPS is a fast-growing startup building the future of observability and automation for IT operations. Our platform unifies complex system data to deliver visibility, control, and intelligent workflows across the enterprise, empowering IT teams to manage the entire employee technology lifecycle with precision. As industries embrace AI to automate cars, rockets, and even farming, IT operations remain stuck in the past, reliant on spreadsheets and manual processes. We believe it is time for a change.
At XOPS, we are pioneering autonomous IT operations, freeing teams from tedious tasks and elevating them into strategic leadership roles. Our mission is to drive operational excellence, financial stewardship, and security across the enterprise, while transforming the employee experience. We are just getting started, and we are looking for exceptional teammates to help shape the future.
XperiencOps Inc. is seeking a talented and experienced Machine Learning Engineer with expertise in graph databases to join our innovative team. As a Machine Learning Engineer, you will play a crucial role in developing and implementing machine learning models and algorithms that drive actionable intelligence.
In this role, you will collaborate with cross-functional teams to analyze complex data sets, design and develop machine learning models, and build scalable solutions. You will also be responsible for optimizing and maintaining graph databases, to ensure high performance and efficient data retrieval.
Responsibilities:
Requirements
For this role, the estimated base salary range is between $157,000 - $193,000 USD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
Benefits
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