Lead AI Engineer - Pioneering Decision Support SaaS for Healthcare We are on the lookout for an experienced Lead AI Engineer to join our clients innovative team and play a key role in shaping a revolutionary decision-support SaaS Healthcare platform. This position offers the chance to drive impactful AI solutions in the healthcare domain, leading projects from inception to deployment. What We're Looking ForEducational Background: Master's degree in a relevant field such as Computer Science, Electrical Engineering, Physics, or Aerospace Engineering. A Ph.D. is highly regarded.Professional Experience: At least 4 years of hands-on experience in applied Machine Learning roles.Expertise in Generative AI: Strong knowledge of Generative AI and Large Language Models (LLMs), including deploying LLMs in real-world applications.Technical Proficiency: Skilled in Python or similar programming languages for AI/ML development, with experience in open-source tools like LangChain.Data Integration: Familiarity with leveraging multiple data sources to inform AI solutions.Innovation and Pro-activity: Excited about starting projects from the ground up and employing experimental methods to evaluate solutions through prototypes.End-to-End Implementation: Capable of building fully operational prototypes, from architecture and data engineering to algorithm development and deployment.Lifelong Learner: Committed to keeping up with the latest AI advancements.Adaptability: Comfortable working in a fast-paced, dynamic environment with shifting project priorities.Methodologies: Experience or knowledge of Agile development practices.Work Ethic: Results-driven with the ability to meet tight deadlines.Language Skills: Excellent command of English.Your Role and ResponsibilitiesLead AI Initiatives: Spearhead the application of advanced AI technologies to enhance our platform's capabilities.AI Pipeline Development: Build and implement scalable AI pipelines, ensuring efficient data pre-processing, design engineering, deployment, and monitoring.LLM Ops Architecture: Design and manage end-to-end LLM Ops solutions using cloud platforms, automation tools, and orchestration frameworks to ensure robust and reproducible AI systems.Generative AI Innovation: Develop advanced Generative AI solutions, including prompt engineering frameworks for generating insightful and diverse outputs.Cross-Team Collaboration: Work with multiple teams to identify opportunities for AI-driven innovation and improvement.Product Enhancement: Collaborate with Engineering and Product teams to translate business needs into technical solutions, optimising our data infrastructure and product performance.Algorithm Optimisation: Fine-tune AI models and algorithms to handle structured and unstructured data effectively.Trend Monitoring: Stay ahead of the curve by keeping up with emerging AI trends, applying the latest best practices to projects.Quality Assurance: Ensure high standards for AI solutions through thorough testing and validation.If you're passionate about leveraging AI to transform healthcare and thrive in a dynamic, forward-thinking environment, we'd love to hear from you!

Join our clients innovative startup as a Customer Success Engineer, where you'll play a pivotal role in ensuring the smooth implementation, adoption, and success of their platform. This role combines technical expertise with customer-facing responsibilities to deliver exceptional experiences and drive product satisfaction. Key ResponsibilitiesPre-Sales Support:Assist in technical scoping and product demonstrations.Address customer queries and ensure the proposed solution aligns with their technical needs.Deployment & On-boarding:Lead customers through setup and integration of the platform.Coordinate with internal teams to ensure successful implementation tailored to customer requirements.Provide training for both technical and non-technical users to enable effective product utilisation.Technical Support & Maintenance:Troubleshoot and resolve technical issues during and post-deployment.Manage the helpdesk and provide timely resolutions.Ensure smooth deployment of updates and compatibility with customer systems.Customer Success Management:Build and maintain strong customer relationships, ensuring satisfaction throughout the lifecycle.Proactively gather feedback to identify opportunities for product improvements and feature enhancements.Regularly check in with customers to address concerns and prevent churn.Project Management:Plan and execute deployment projects, ensuring milestones are met on time.Act as the primary contact for customers during projects, coordinating with cross-functional teams to resolve technical blockers.QualificationsEducation: Bachelor's degree in Computer Science, IT, Software Engineering, or a related field.Technical Skills:Proficiency in Python (2+ years) for automation, scripting, and troubleshooting.Hands-on experience with Linux systems (2+ years) for server management and debugging.Familiarity with cloud services and system integration (2+ years).Desirable:Knowledge of DICOM networking and files, particularly in healthcare or imaging applications.Understanding of AI applications in the medical field. Why Join Us?Be part of a team that values creativity, diversity, and excellence. As a startup, we embrace adaptability and growth, offering a chance to shape your role and develop the skills we'll need for tomorrow. If you're ready to make an impact in a rapidly evolving tech space, we'd love to hear from you!

IT Inhouse Consultant (m/f/x) | MedizintechnikIn dieser Position können Sie als Inhouse Consultant (m/f/x) einen wertvollen Beitrag im Gesundheitswesen leisten. Sie sind verantwortlich für die Optimierung der Softwarelösungen. Diese Tätigkeiten warten auf Sie:Optimierung / Verbessern der ERP-SystemeEnge Zusammenarbeit mit den Fachabteilungen sowie die gemeinsame Entwicklung der Prozessoptimierungen für die ERP-LösungenLeiten von Teilprojekten zur Einführung von Anpassungen, Erweiterungen und Third-Party LösungenBeteiligung am Auswahlprozess für neue Systeme Ihr Profil:Abgeschlossene Ausbildung bzw. Studium im Bereich Informatik oder vergleichbare QualifikationAusgeprägtes Verständnis von Unternehmensprozessen und IT-KenntnisseErfahrungen mit der Betreuung von ERP-SystemenGute Kenntnisse in MS Office und im Windows-UmfeldHohes Maß an Flexibilität, Integrität sowie Einsatzfreude Das bietet das Unternehmen:Hybrides Arbeitsmodell mit 2 Tagen/Woche HomeofficeGleitzeitCorporate Benefits, Jobrad, Parkplätze, Subv. Mittagessen Das Unternehmen:Unser Kunde ist ein deutsches Unternehmen, das sich auf die Entwicklung und Herstellung von medizinischen Geräten und Produkten für die Schlafmedizin und Beatmungstherapie spezialisiert hat. Das Unternehmen arbeitet eng mit medizinischen Fachleuten und Forschungseinrichtungen zusammen, um innovative Lösungen für die medizinische Versorgung zu entwickeln und die Lebensqualität von Patienten zu verbessern.