Build monitoring infrastructure for production ML and GenAI models.
Define and track model health metrics including accuracy, drift, and output quality.
Partner with data scientists and ML engineers to integrate monitoring into deployment lifecycle.
Liberty Mutual is a global insurance company that provides property and casualty insurance. The company values inclusion, professional development, and employee well-being, offering comprehensive benefits and workplace flexibility.
Collaborate with team members to gather business requirements and design robust data models for analytics.
Configure and maintain cloud data warehouses and ELT pipelines to ensure reliable, high-quality data.
Support global reporting by monitoring data quality, improving data flow, and coordinating with data engineering and IT teams.
Hyland is a content services company providing the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations worldwide. With nearly 4,000 employees, Hyland fosters an employee-centric, inclusive culture that supports career development, wellbeing, and community engagement.
Analyze real-world AI interactions to identify opportunities for improving response quality, accuracy, and user experience.
Design and optimize prompt engineering strategies, RAG pipelines, and AI evaluation frameworks.
Collaborate with AI Engineers to deploy validated improvements into production systems.
The company specializes in developing and improving AI-powered products. They maintain a remote-first, international team with a focus on innovation and collaboration.
Extract and analyze client datasets to identify patterns and behaviors.
Communicate findings to business stakeholders and support decision-making.
Work with cross-functional teams to deliver actionable insights.
This company specializes in technology, data, and digital transformation. It fosters a collaborative culture focused on innovation, learning, quality, and business impact.
Define scalable architectures for enterprise data platforms across ingestion, storage, processing, governance, and consumption.
Establish technical standards for data modeling, security, reliability, and lifecycle management.
Mentor engineers and guide architectural direction while partnering with cross-functional teams.
The company is a technology organization focused on building enterprise data platforms. It fosters a culture of innovation and collaboration, with a focus on technical excellence.
Design, build, and maintain scalable event-streaming pipelines that ingest data from client systems and third-party sources.
Develop and operate analytical databases and data models optimized for high-volume event workloads and low-latency access.
Build production-grade services in Elixir and/or Python for event processing, transformation, and integration.
This company is building data infrastructure for high-volume client and internal event data. They are establishing a new data engineering team and offer a remote work environment with significant technical ownership.
Fulfill ad-hoc data requests from Sales and internal teams using SQL, Databricks, Count, and spreadsheets.
Translate ambiguous business questions into clear analytical requirements and deliver accurate, actionable insights.
Investigate data discrepancies, resolve straightforward issues, and escalate complex problems with proper documentation.
The company specializes in data analytics and customer success solutions. They foster a remote-first, inclusive culture with a focus on autonomy and collaboration, and host company offsites twice a year.
Write advanced SQL queries to extract and analyze complex datasets across changing environments.
Design and deliver executive-ready dashboards in Tableau or Sigma, ensuring data accuracy and self-service insights.
Translate complex business questions into data logic and communicate findings clearly to non-technical stakeholders.
Lyra Health is the leading provider of mental health solutions for employers, supporting over 20 million people globally. The company has delivered 13 million care sessions and published over 20 peer-reviewed studies, demonstrating a commitment to clinical effectiveness and innovation.
Design, develop, and maintain SQL-based data solutions supporting client and product needs.
Build and optimize ETL pipelines, stored procedures, and data validation processes.
Partner with delivery, engineering, and client teams to translate requirements into reliable data solutions.
Precision AQ Access Genius builds data-driven solutions at the intersection of healthcare market access, client delivery, and technology. The team values client service, purpose, accountability, mutual respect, and collaboration in a delivery-focused environment.
Design and develop end-to-end data pipelines using Azure Data Factory and Synapse Pipelines.
Manage Azure Databricks workspaces and clusters, optimizing Spark jobs for performance.
Automate infrastructure and deployments with Bicep and Azure DevOps CI/CD pipelines.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and agentic AI. With significant growth since 2016, the company has expanded across the US, Canada, and India, fostering a culture of craftsmanship and collaboration.