Drive compliance programs across multiple frameworks including ISO and SOC 2 while automating manual GRC processes. The role involves assessing security architectures, managing business continuity, and ensuring AI security alignment with the EU AI Act.
The role involves performing data imports and extracts using Talend and Python to support customer migrations and integrations. You will build data import applications and optimize data services processes in collaboration with the Professional Services team.
The role involves performing data imports, extracts, and building integrations between external web applications using ETL tools and Python. You will collaborate with the Professional Services team to automate manual processes and optimize data services for customers.
Drive compliance programs across multiple frameworks including ISO and SOC 2 while automating manual GRC processes. The role involves assessing security architectures, managing business continuity, and ensuring AI security alignment with the EU AI Act.
Drive compliance programs across multiple frameworks including ISO and SOC 2 while automating manual GRC processes. Provide technical guidance on AI security, business continuity, and cloud compliance to engineering teams.
Architect and build agentic workflows and conversational systems using LLMs and reasoning components to optimize recruiting. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Architect and build agentic workflows and autonomous AI systems to create intelligent conversational recruiting experiences. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Architect and build agentic workflows and conversational systems using LLMs and reasoning components to optimize recruiting. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Drive compliance programs across multiple frameworks including ISO and SOC 2 while automating GRC processes to reduce manual effort. Provide technical guidance on AI security, business continuity, and cloud compliance to engineering teams.
Drive compliance programs across multiple frameworks including ISO and SOC 2 while automating manual GRC processes. Provide technical guidance on AI security, business continuity, and cloud compliance to engineering teams.
Drive compliance programs across multiple frameworks including ISO and SOC 2 while automating GRC processes to reduce manual effort. Provide technical guidance on AI security, business continuity, and cloud compliance to engineering teams.
Design and develop AI agentic systems and Python-based microservices to connect people to jobs at scale. Collaborate with AI/ML engineers and product managers to implement data-driven recruiting products on AWS/Kubernetes infrastructure.
Design and develop AI agentic systems and Python microservices to connect people to jobs at scale. Collaborate with AI/ML engineers and product managers to implement data-driven recruiting products on AWS/Kubernetes infrastructure.
Design and develop AI agentic systems and Python-based microservices to connect people to jobs at scale. Collaborate with AI/ML engineers and product managers to implement data-driven recruiting products on AWS/Kubernetes infrastructure.
Design and develop AI agentic systems and Python microservices to connect people to jobs at scale. Collaborate with AI/ML engineers and product managers to implement data-driven recruiting products on AWS/Kubernetes infrastructure.
Architect and build agentic workflows and conversational systems using LLMs and reasoning components to optimize recruiting. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Architect and build agentic workflows and conversational systems using LLMs and reasoning components to optimize recruiting. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Architect and build agentic workflows and conversational systems using LLMs and reasoning components to optimize recruiting. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Architect and build agentic workflows and conversational systems using LLMs and reasoning components to optimize recruiting. Lead the design, development, and deployment of advanced ML/NLP products from ideation to production.
You will design and develop intelligent AI agent-powered solutions using Python and modern cloud infrastructure. You will collaborate with cross-functional teams to integrate these services into the existing platform to connect people to jobs at scale.
You will design and develop AI agent-powered services using Python, Kubernetes, and AWS to connect people to jobs at scale. You will collaborate with cross-functional teams to implement and maintain data-driven recruiting products throughout the full product life-cycle.
You will architect and develop agentic workflows that integrate large language models and reasoning components to create adaptive conversational systems. Additionally, you will lead the end-to-end development of ML/NLP products, from ideation and model training to production deployment.
You will architect and build agentic workflows that integrate large language models and reasoning components to create adaptive conversational systems. Additionally, you will lead the development of ML/NLP products from ideation to production while mentoring engineering peers.
Architect and develop agentic workflows that integrate large language models and reasoning components into conversational recruiting systems. Lead the end-to-end development of ML/NLP products while mentoring team members and defining best practices for scalable AI systems.
Architect and develop agentic workflows and conversational AI systems using large language models and advanced ML techniques. Lead the end-to-end development of ML products while mentoring team members and defining best practices for scalable systems.
You will architect and develop agentic workflows that integrate large language models and reasoning components into conversational recruiting systems. Additionally, you will lead the end-to-end development of ML/NLP products while mentoring team members and defining best practices for scalable AI systems.
You will design and develop AI agent-powered solutions using Python and modern cloud infrastructure to connect people to jobs at scale. You will collaborate with cross-functional teams to implement and maintain high-traffic services while ensuring enterprise-level reliability and security.
You will architect and develop agentic workflows that integrate large language models and reasoning components into conversational recruiting systems. Additionally, you will lead the end-to-end development of ML/NLP products, from ideation and model training to production deployment.
You will architect and develop agentic AI workflows that integrate large language models and reasoning components to create adaptive conversational systems. Additionally, you will lead the end-to-end development of ML/NLP products and mentor engineering peers to ensure scalable and maintainable AI solutions.
You will design and develop intelligent AI agent-powered solutions using Python and modern cloud infrastructure. You will also collaborate with cross-functional teams to scale applications and ensure enterprise-level service reliability.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products through to production, including experimentation with new agentic reasoning approaches.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. You will lead the design and development of advanced ML/NLP products through the entire lifecycle, from ideation to production deployment.
The engineer will be responsible for implementing and maintaining AI agentic systems that connect people to jobs at scale, collaborating with the platform team to ensure seamless integration into existing infrastructure with enterprise-level reliability and security. Key tasks include participating in the full product life-cycle, designing and developing Python services on Kubernetes/AWS, connecting to persistence layers, and building developer-friendly RESTful APIs.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. The engineer will lead the design and development of advanced ML/NLP products from concept through production, including model training, optimization, and deployment.
The engineer will be responsible for implementing and maintaining AI agentic systems that connect people to jobs at scale, collaborating with the platform team to ensure seamless integration into existing infrastructure with enterprise-level reliability and security. Key tasks include participating in the full product life-cycle, designing and developing Python services on Kubernetes/AWS, connecting to persistence layers, and building developer-friendly RESTful APIs.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products from ideation through to production deployment.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products from concept through production, including training, optimization, and deployment.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products through to production, including training, evaluation, and deployment.
The role involves participating in the full product life-cycle, designing and developing Python services on Kubernetes/AWS infrastructure, and building RESTful APIs and high-traffic AI agents. The engineer will collaborate with AI/ML teams to scale applications powered by NLP and AI agents.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. You will lead the design and development of advanced ML/NLP products from ideation through to production, including experimentation with new agentic reasoning approaches.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. The engineer will lead the design and development of advanced ML/NLP products from concept through production, including model training, optimization, and deployment.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products through to production, including experimentation with new agentic reasoning approaches.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products from ideation through production, including training, optimization, and deployment.
The role involves participating in the full product life-cycle, designing and developing Python services on Kubernetes/AWS infrastructure, and building RESTful APIs and AI agents capable of handling high traffic loads.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products from ideation through to production deployment.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. The engineer will lead the design and development of advanced ML/NLP products from concept through production, including model training, optimization, and deployment.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. The engineer will lead the design and development of advanced ML/NLP products from concept through production, including experimentation with new agentic approaches.
The Strategic Account Director will manage and grow large global customer relationships, ensuring customer satisfaction and driving strategic value. This role involves acting as the primary executive contact and collaborating across various internal teams to deliver a seamless customer experience.
The Strategic Account Director will manage and grow large global customer relationships, ensuring customer satisfaction and driving strategic value. This role involves acting as the primary executive contact and collaborating across various internal teams to deliver a seamless customer experience.
