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Builds robust security capabilities from vulnerability research, focusing on Android and Linux platforms using C/C++.
The Senior Data Scientist will design, develop, and deploy advanced machine learning models to solve complex mobility challenges. The role involves collaborating with engineering teams to productionize models and mentoring junior staff within an Agile environment.
Manages a transformative AI-driven healthcare project in Kenya, coordinating implementation across three counties, partner engagement, and regulatory compliance to deploy AI solutions in primary healthcare systems while documenting lessons for future scaling.
As an AI Engineer Intern at DHL, you will support the development and testing of AI-driven logistics solutions, including data preparation, model experimentation, and API integration. You will work within a global team using technologies like Python, LangChain, and n8n to build practical AI use cases.
Welcome to Balluff Inc.! Balluff is a global leader in sensor technology and industrial automation. Our mission is to drive smart manufacturing forward while creating a workplace where innovation and people thrive.…
Scentsy is looking for a Software Engineer to design, build, and deliver scalable, high-quality web applications that support both internal teams and customer-facing experiences. This role requires strong…
Leads ML research projects to improve RTB House’s deep-learning-powered ad-buying engine, designing and deploying models (e.g., deep neural networks) for user behavior prediction and auction bidding. Focuses on production impact, stakeholder collaboration, and mentoring.
Senior Solutions Engineer in Brisbane who designs and delivers cloud security demos, POCs, and presentations to enterprise customers, while gathering feedback for product improvements.
As a Forward Deployed Engineer, you integrate client systems with AI by wiring together APIs, webhooks, and data pipelines using Python or TypeScript, spending half your time on integrations, a quarter coding, and a quarter managing client relationships.
Staff Solutions Engineer at Kong designs and demonstrates API/AI integration solutions for enterprises, using DevOps, AI/ML orchestration, Kafka, and SRE observability tools to solve complex architectural challenges.
Technical advisor bridging NiCE and partners to sell and deliver AI-powered customer-experience solutions, focusing on conversational AI, virtual agents, and automation.
Intern designing data architecture solutions, building IoT/telematics data pipelines, and developing AI/ML proof-of-concept projects for Toyota Material Handling in a hybrid role.
Overview We are looking for a Cloud Solution Architect – Cloud & AI Data Platform with deep knowledge in data platforms and analytics to support customers in building secure, scalable, and AI-ready solutions on…
DevOps Engineer for AI systems: designs and maintains CI/CD pipelines, observability, and cost/performance management for LLM/agentic applications, bridging POCs to production-grade deployments with Kubernetes and Terraform.
Frontend React Engineer building greenfield applications from proof of concept to production using the latest frontend frameworks.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager, Rapid Response based in United States. This is a senior technical…
Hands-on software engineer manager building AI-driven workflow and automation solutions at State Street Investment Management using Python, Google Gemini Enterprise, LangChain/LangGraph, and cloud services in a regulated financial environment.
Leads a Hyderabad-based team of data engineers to accelerate AI and agentic use cases, shaping Roche's enterprise data architecture and federated platforms.
Location: Remote within the Nordic countries (Sweden, Denmark, Norway, or Finland) About Us At Kubermatic, we believe that businesses should focus on their core purpose: writing groundbreaking applications, not…
Solution Architect at CoderPush (posted as Qodeworld) turning business and technical requirements into practical architectures spanning on-premises, private/public cloud, and hybrid environments, from presales through implementation.
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