Lead the development of advanced ML and Generative AI solutions, model complex data tasks, and derive insights for business decisions.

Lead the design of scalable and secure data architectures, ensuring alignment with business strategies and governance policies. Engage with stakeholders, evaluate tools, and mentor teams in developing data solutions.

The Senior Data Scientist will analyze complex data, develop scalable data pipelines, build machine learning models, and collaborate with various teams to enhance decision-making products.

Build, maintain, and optimize business applications using Power Apps, automate workflows with Power Automate, model and manage data in Dataverse, integrate external systems via REST APIs (HTTP/JSON), troubleshoot solutions, and collaborate with stakeholders to implement scalable, secure solutions.

Design, develop, and deploy scalable AI/ML solutions for healthcare and operations. Own end-to-end pipelines, build conversational AI and computer vision systems, optimize automation, ensure production performance and reliability, and collaborate with product and engineering stakeholders.

Lead the design and deployment of AI/ML solutions, managing multiple initiatives and mentoring technical teams to ensure production-ready models.

Lead the design and development of low-latency machine learning inference services, ensuring high availability and scalability, while collaborating with data scientists and cross-functional teams.

The DevOps Engineer will manage cloud-based infrastructure, automate CI/CD processes, and ensure system reliability while collaborating with an IaaS provider.

Design intuitive UI and interaction patterns for a CRM platform, build and maintain design systems and style guides, create sketches and prototypes, and collaborate with designers, developers, and product teams to ensure feasible execution.

Design and scale predictive ML systems for VIS.X, taking end-to-end ownership of various high-impact ML initiatives and shaping the ML architecture.

The Lead DevOps Engineer will enhance and automate CI/CD pipelines, manage infrastructure for cloud and on-premise environments, and collaborate with engineering teams to optimize development workflows and system reliability.

The Senior Integrations Engineer will architect, implement, and maintain integration solutions, lead best practices, mentor teammates, and collaborate on technologies to enhance business processes.

Work on advanced Python development, including expertise in Django and Pandas, while managing AWS applications and collaborating across teams.

Lead automation initiatives in transportation and logistics by designing integration architectures and automating workflows using n8n and AI technologies.

Lead the design and configuration of scalable Salesforce solutions, translating business requirements into implementation plans and maintaining core platform configurations.