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The Client Services Coordinator will conduct video meetings and manage warm leads to build a client base. You will follow provided processes and coaching to maintain a professional standard of service.
You will conduct video meetings with warm leads to build a client book. You are responsible for following the provided process and coaching to manage client intake effectively.
You will conduct video meetings with clients and manage warm leads to build a professional book of business. The role involves following established processes and coaching to achieve sales goals.
You will conduct video meetings and manage warm leads to build a client book. The role involves following a provided sales process and coaching to achieve performance goals.
The Analyst will conduct research and analysis on illicit economies for the Global Organized Crime Index while overseeing a team of Research Assistants. They will also manage expert verification processes, contribute to the SCAR framework, and support the dissemination of analytical findings.
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The Azure Platform Engineer will design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. Responsibilities include managing the end-to-end cloud engineering lifecycle, including infrastructure-as-code, automation, security hardening, and observability.
The AI Innovation Engineer will bridge applied research and production engineering to design and deploy advanced machine learning systems. This role involves managing the full lifecycle of AI projects, from problem framing and experimentation to scalable production deployment.
Design and optimize compute-intensive workloads on modern accelerator hardware to maximize performance for AI and scientific computing. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The developer will own the full integration lifecycle, including analysis, design, development, deployment, and ongoing support using the Boomi AtomSphere platform. They will collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
The Foundation Model Engineer will design, execute, and operationalize fine-tuning workflows for large language models using supervised and reinforcement learning approaches. They will collaborate with cross-functional teams to translate requirements into production-grade solutions while maintaining rigorous evaluation standards.
The AI Interaction Engineer will define and lead the strategy, patterns, and tooling for prompt design, agentic workflows, and LLM-based application architectures. They are responsible for building reusable design patterns and evaluation frameworks that scale across the organization.
The developer will design, develop, and support customizations and integrations on the Windchill PLM platform. They will also collaborate with cross-functional teams to translate business requirements into technical solutions while mentoring junior engineers.
Architect end-to-end IIoT solutions including edge data acquisition, secure connectivity, and cloud ingestion. Collaborate with cross-functional teams to translate requirements into scalable production systems while mentoring junior engineers.
Lead the design and evolution of large-scale microservices ecosystems using cloud-native technology stacks. Oversee service decomposition, distributed data management, and ensure system resilience, observability, and security.
The Senior MuleSoft Developer will own the integration lifecycle, including API design, flow development, deployment, and ongoing optimization. They will collaborate with cross-functional teams to translate requirements into secure, reliable, and reusable integration solutions.
Design, build, and operate high-performance inference platforms for serving large machine learning models in production. Manage system components including request routing, batching, caching, autoscaling, and GPU utilization.
The AWS Platform Specialist will design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. They will collaborate with application, security, and SRE teams to deliver resilient, cloud-native solutions that scale with business needs.
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Provide deep technical leadership across multiple teams to drive the design and execution of complex engineering initiatives. Collaborate with cross-functional partners to translate ambiguous requirements into well-engineered solutions while mentoring junior engineers.
The Principal Software Engineer will lead enterprise-wide architectural initiatives and define long-term technology strategy for scalable distributed systems. This role involves serving as a technical authority across multiple teams while mentoring senior engineers to elevate organizational technical standards.
Design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, and data domains. Partner with business stakeholders and engineering leaders to translate strategic objectives into scalable and maintainable technology solutions.
Design, train, and deploy reinforcement learning-based systems to solve high-impact decision-making problems. Manage the engineering complexity of training and evaluating policies at scale while ensuring stability and safety in production environments.
The PLM Engineer will own the technical operation of the PLM platform, including installation, configuration, performance tuning, and upgrades. They will partner with functional, engineering, and manufacturing teams to ensure a reliable, performant, and secure PLM ecosystem.
The Model Optimization Engineer will focus on maximizing throughput and minimizing latency for large neural network systems. They will work across the full stack, from low-level kernel optimization to distributed system tuning, while collaborating with cross-functional teams.
The teacher is responsible for delivering tailored, dynamic, and engaging Italian language lessons to students while developing curricula based on individual proficiency levels. They must also monitor student progress and maintain professional communication with learners and their families.
The AI Engineer will develop and implement AI and machine learning solutions, focusing on Generative AI and LLM architectures. They will also manage MLOps pipelines and integrate cloud-based AI services to support FinOps and data engineering initiatives.
The Staff Performance Marketing Manager will own multi-channel demand generation programs to drive pipeline for the Mid-Market business. This role involves diagnosing funnel stall points, executing lifecycle campaigns, and managing cross-functional creative and technical projects.
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The Staff Performance Marketing Manager will own multi-channel demand generation programs to drive pipeline for the Mid-Market business. This includes strategy, execution, testing, and optimization of lifecycle and account-growth initiatives to improve funnel progression.
The Staff Performance Marketing Manager will own multi-channel demand generation programs to drive pipeline for the Mid-Market business. This role involves diagnosing funnel stall points, executing lifecycle campaigns, and managing cross-functional creative and technical projects.
The Staff Performance Marketing Manager will own multi-channel demand generation programs to drive pipeline for the Mid-Market business. This role involves diagnosing funnel stall points, executing lifecycle campaigns, and optimizing program performance through data-driven testing and cross-functional collaboration.
The Staff Performance Marketing Manager will own multi-channel demand generation programs to drive pipeline for Mid-Market audiences. This role involves diagnosing funnel stall points, executing lifecycle campaigns, and optimizing program performance through data-driven testing.
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