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!

Leiter Regulatory Affairs & Validation (m/w/d) für MedizinprodukteFür den Norddeutschen Standort sucht mein Kunde eine/n Leiter/in Regulatory Affairs & Validation (m/w/d). In dieser verantwortungsvollen Position übernehmen Sie die Leitung und Weiterentwicklung des globalen Teams für Regulatory Affairs und Validierung im Bereich der Spritzenproduktion und stellen sicher, dass alle Unternehmensziele unter Berücksichtigung der globalen und standortspezifischen Strategien erreicht werden. Ihre Aufgaben:Fachliche Führung und Weiterentwicklung des globalen Teams in den Bereichen Regulatory Affairs und Validierung, mit Verantwortung für die strategische Ausrichtung und Performance der TeamsDisziplinarische Führung des TeamsPlanung und Umsetzung der Qualifizierung und Validierung aller relevanten Produktionsanlagen und -prozesse zur Unterstützung der UnternehmenszieleVerantwortung für die Erneuerung und Aktualisierung der ZulassungenDurchführung von (Re-)Qualifizierungen und Prozessvalidierungen sowie Umsetzung von Risikomanagement und regulatorischen AktivitätenSicherstellung eines validierten Zustands aller ProduktionsprozessePlanung, Strukturierung und Weiterentwicklung der Abteilungsressourcen und -prozesseSicherstellung und Optimierung von Regulatory- und Validierungsprozessen innerhalb der Unit Ihr Profil:Studium im technischen oder naturwissenschaftlichen BereichMind. 8 Jahre Berufserfahrung im Bereich Regulatory Affairs, zum Vorteil wäre QualitätsmanagementFundierte Expertise in der Qualifizierung und Validierung, bevorzugt in den Bereichen MedizinprodukteErfahrung in der Führung von Teams und der PersonalentwicklungKenntnisse mit regulatorischen Anforderungen, insbesondere der cGMP-Vorgaben (z.B. EU, FDA, PMDA, CFDA, HC) und deren regelmäßigen AnpassungenWissen im Bereich Qualitätsmanagement nach ISO 9001, 15378 und 13485 sowie der MDR Bereit für den nächsten Schritt?Wenn Sie sich auf die Möglichkeit freuen, zur globalen Entwicklung von Medizinprodukten beizutragen, freue ich mich auf Ihre Bewerbung! Tel: 089 26 20 09 25E-Mail: M.Inderhees@sciproglobal.de