Responsible for designing, developing, and implementing AI-based solutions, including intelligent agents to automate processes and optimize operational workflows to drive business efficiency and improve client experience.
Responsibilities
Design and develop autonomous AI agents and multi-agent systems to automate complex business processes.
Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs.
Implement client management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.).
Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools.
Develop generative AI solutions to improve communications, insight generation, and repetitive tasks.
Requirements
University degree in Engineering
University degree in Data Science
University degree in Computer Science or similar
Master/specialization in Data Science, AI or Generative AI (valued)
Nice to have: Experience in media agency, digital marketing, or advertising environments
Consultant.e Data Engineer responsible for end‑to‑end data stack deployment, pipeline construction, data modeling, quality assurance and client support.
Responsibilities
Deploy a modern data stack end‑to‑end for clients
Build and maintain robust data pipelines
Model data for usability (SQL, data warehouse, datamarts)
Ensure data quality, reliability and monitoring
Support business teams in data understanding and usage
The analyst will apply experience with Sales Cloud, Revenue Cloud, and Service Cloud to analyze data involving accounts, contacts, opportunities, and other critical business data entities and processes.
Provide sustained reporting and data support for capacity management and patient flow initiatives
Compensation
Pay Range Minimum: $120,000.00 annual
Pay Range Maximum: $146,808.00 annual
Responsibilities
Provide sustained reporting and data support for capacity management and patient flow initiatives
Serve as a key partner with operational stakeholders, translating requirements into actionable dashboards, reports, and data insights
Focus on development and optimization of analytics tools supporting decision-making, capacity monitoring, and patient throughput
Provide the analytic foundation needed for operational teams to take action to improve patient flow and hospital capacity
Collaborate with Analytics leadership, Business Analysts, application analysts, and hospital Patient Flow stakeholders to gather, document, and confirm business requirements
Requirements
Bachelor’s degree in Computer Science, Health Information Systems, Math, Information Technology, Business Administration, or related field or equivalent combination of experience/education
Join an international, cross-functional team to build AI-driven solutions for background screening, splitting time between delivering new products and supporting production ML workloads.
Responsibilities
Work within a Scrum team on new products and initiatives, from design through delivery.
Provide dedicated support for existing production AI/ML workloads, ensuring reliability, performance, and continuity.
Build secure, well-optimized solutions using modern AI tooling.
Develop and productionize ML models, and design end-to-end testing strategies to hold delivered solutions to a high quality bar.
Deliver API integrations and data pipelines, optimizing for latency, throughput, and cost.