What are the responsibilities and job description for the Senior Data Engineer (MLOps) position at Strider Technologies?
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 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Strider complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
