Senior Data Engineer (MLOps)

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.

About the Role :

Our methodologies rely on billions of documents we've accumulated since our founding, with tens of millions more added daily. The machine learning models we develop are integral to organizing and processing this data. As a Senior Data Engineer specializing in MLOps, you will :

• Develop large scale data processing pipelines
• Create data assets from unstructured data
• Scale batch and online inference
• Automate and optimize machine learning training workflows
• Enhance and expand our CI / CD processes
• Author design documents
• Participate in code reviews
• Collaborate with a talented cross-functional team of engineers, data scientists and subject-matter experts

What makes you a great fit :

Technologies You'll Work With

At Strider, you'll use a mix of the following tools and technologies :

Benefits

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.