Relyance Inc is hiring for the following in San Mateo, CA: Director, Data Engineering and Machine Learning Operations

Job Duties: Lead Machine Learning infrastructure components with data-centric mindset to ease iteration, evaluation, and deployment of machine learning models. Partner with machine learning and platform engineers to deliver scalable, performant, highly available data ingestion and processing pipelines to drive business impact. Construct foundation on which global data infrastructure is built. Specific job duties include:

-Design, architect, manage and hire Data Engineering and Machine Learning Operations Team.

-Develop scalable and reliable machine learning infrastructure components to ease iteration, evaluation, and deployment of machine learning models.

-Participate in ensuring compliance with privacy by design principles (e.g. design data de-identification pipelines to develop systems that preserve customer privacy protections).

-Design data ingress, egress, and processing ETL pipelines for scale and validate their reliability.

-Design and evolve data models according to business and engineering needs.

-Design, implement, and maintain ML model’s “explainability” (or ability to understand) and decision-making infrastructure.

-Design and develop web scraping and data hygiene quality check data pipelines.

-Collaborate with our machine learning and core platform teams to drive maximum impact across organization.

-Follow and promote software engineering and data engineering best practices across the organization.

-Stay current with development in data engineering, open-source frameworks, and machine learning operations.

-Shape direction of data engineering and build cohesive team.

Requirements: Master’s degree in Computer Science, Computer Engineering or Data Science + 3 years’ experience as computer engineer, information systems engineer, data engineer or machine learning operations.

Special Requirements: 3 years of experience with the following: designing large scale enterprise applications, designing and implementing autonomous data processing systems, designing and developing tools for rapid experimentation and deployment of machine learning models with tight security controls.

Salary: $211,120.00/year