Top Hybrid Data & Analytics Jobs in Richmond, VA

As a Senior Machine Learning Engineer, you will work on productionizing machine learning applications and systems at scale. You'll participate in the design and implementation of ML applications, collaborating with Product and Data Science teams, and focus on optimizing ML models, building data pipelines, and ensuring high performance and availability of solutions. You will leverage cloud technologies and follow best practices in responsible AI.

The Data Architect will design and implement data architecture strategies, develop data models and flow diagrams, and ensure compliance with governance policies. Responsibilities include managing client relationships, optimizing data processing, ensuring data quality, and leading data strategy engagements. Candidates will collaborate with stakeholders to translate data requirements into technical solutions and implement cloud-based solutions effectively.

The Human Resources Systems Analyst will enhance HR systems and processes, implement new technologies, and optimize data and analytics. Responsibilities include developing automations, building data pipelines, maintaining HR data integrity, and assisting employees with HR system issues.