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Develop and maintain upstream k0s-related projects under the CNCF umbrella while integrating new cloud-native features. Act as a subject matter expert and evangelist for cloud-native technologies within the company and the broader community.
Develop and maintain upstream k0s projects under the CNCF umbrella while integrating new cloud-native features into Mirantis products. Act as a subject matter expert and evangelist for cloud-native technologies within the company and the broader community.
You will design and develop integrations between Microsoft Dynamics 365 Business Central and various external applications like ERP, CRM, and EDI platforms. Your work will ensure seamless data flow and efficient business processes for enterprise-level clients.
The administrator manages university cash services, student financials, and accounts receivable while ensuring internal accounting controls and regulatory compliance. They also supervise staff, facilitate financial aid processes, and develop policies to support student success and institutional financial objectives.
You will be responsible for creating and utilizing generative AI or ML models to drive business solutions and operationalize data modeling activities. Additionally, you will process structured and unstructured data while collaborating with stakeholders to improve data reliability and system requirements.
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You will lead technical discovery calls, deliver tailored product demos, and design Proof-of-Values to ensure successful customer outcomes. Additionally, you will act as a subject matter expert, providing technical guidance and feeding market insights back to the product and engineering teams.
You will manage day-to-day security operations including endpoint security, identity and access management, and cloud security. Additionally, you will support compliance evidence collection for frameworks like SOC 2 and ISO 27001 while assisting with practical IT and device support.
You will manage day-to-day security operations, including endpoint security, identity and access management, and cloud security monitoring. Additionally, you will support compliance evidence collection for frameworks like SOC 2 and ISO 27001 while assisting with practical IT and device support.
You will design, build, and maintain scalable end-to-end data pipelines and ETL/ELT workflows. Additionally, you will collaborate with stakeholders to ensure data quality and implement robust data models for analytics.
The lead will manage global AI certification schemes and ensure compliance with international standards and regulations like the EU AI Act. They will also provide technical expertise to internal teams and represent the company in AI forums and stakeholder working groups.
Lead the development of large-scale software applications and influence critical architectural decisions to ensure system scalability. Collaborate with cross-functional teams and mentor junior engineers to maintain high-quality technical standards.
The Director of Data Science will lead a technical team to develop and validate AI/ML models for CenterWell's portfolio, ensuring alignment with product priorities and operational efficiency. They will partner with cross-functional teams including IT, clinical, and product management to integrate AI solutions into healthcare workflows.
The Software Engineer is responsible for developing and maintaining backend systems on IBM i while integrating applications with relational databases. They will also actively learn and apply agentic AI coding tools to accelerate development and ensure high-quality software delivery.
You will gather and analyze client requirements to deliver integrated pension administration solutions while collaborating with cross-functional teams. Additionally, you will map business processes, define testing criteria, and support the implementation of workflow automation.
Lead the planning and execution of large-scale CRM programs and strategic Salesforce initiatives across the enterprise. Manage cross-functional teams and stakeholders to ensure alignment with business goals, budget oversight, and operational excellence.
The Principal AI Engineer will lead an embedded Innovation Squad, overseeing the technical execution of AI projects from discovery through to production. They are responsible for designing reusable agentic AI patterns, establishing architectural standards, and mentoring team members to ensure scalable and secure AI solutions.
The Principal AI Engineer will lead an embedded Innovation Squad, overseeing the technical execution of AI projects from discovery through to production. They are responsible for designing reusable agentic AI patterns, establishing architectural standards, and mentoring team members to ensure scalable and secure AI solutions.
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The engineer will deploy, operate, and support the Istari platform across various customer environments, including cloud and on-premises setups. They will work cross-functionally to manage infrastructure-as-code, troubleshoot complex issues, and ensure secure platform delivery.
Design, maintain, and support cloud infrastructure for AI solutions while implementing robust CI/CD pipelines and Infrastructure as Code. Ensure AI cloud security, compliance, and observability for containerized workloads using Azure and Kubernetes.
The Coder Physician is responsible for abstracting, coding, and sequencing medical diagnoses and procedures to ensure accurate reimbursement and compliance. They must maintain high quality standards while documenting clinical data in various software systems.
The Senior Full Stack Engineer II will automate repetitive tasks, streamline the software development lifecycle, and optimize deployment processes. They will also collaborate with engineering teams to design process improvements, mentor other engineers, and maintain high-quality, scalable products.
The Land Data Scientist will collaborate with internal departments to develop and maintain analytical solutions, data models, and AI pipelines. They are responsible for translating business opportunities into practical AI designs and communicating data-driven insights to stakeholders.
The Land Data Analyst will support the Land Department by creating advanced analytical models, pipelines, and BI solutions using SQL and Databricks. They will collaborate with cross-functional teams to improve data processes, conduct code reviews, and communicate actionable insights to stakeholders.
Define and drive the product strategy and roadmap for AI-SIEM detection engines and content. Collaborate with engineering, data science, and threat research teams to deliver AI-native detection solutions.
The engineer will build and maintain React-based interfaces for capability mapping while managing Python scripts for data ingestion and transformation. They will also integrate AI services and Knowledge Base APIs to enhance discovery experiences and ensure high engineering standards.
The Lead Computer System Validation Engineer will define and scale the validation strategy, operating model, and risk-based approach for the company's GxP technology portfolio. They will also lead validation lifecycle activities, mentor the CSV team, and collaborate with cross-functional partners to ensure compliance and data integrity.
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The Implementation Engineer will provide personalized technical support and guidance to customers, ensuring seamless API integration into their applications. They will also act as a primary technical contact, troubleshooting issues and collaborating with the product team to drive continuous improvement.
Design, develop, and maintain scalable backend systems using Java and Spring Boot while architecting robust microservices. Collaborate with cross-functional teams to review technical specifications and ensure high-quality, secure code delivery.
The role involves identifying and assessing high-value business opportunities within pharmaceutical manufacturing to support business case creation. You will design business process flows, document user stories, and facilitate alignment between business stakeholders and technical teams to ensure successful system integration.
The role involves building production-grade agentic workflows and LLM-powered systems while managing data pipelines and semantic context layers. You will also be responsible for establishing evaluation practices, observability, and providing technical leadership to clients.
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