Role Description Techno-functional candidate with expert-level skills in PL/SQL and RICEFW, along with knowledge of modules such as P2P, GL, Advanced Collections and Inventory. Qualifications - Expert-level skills in PL/SQL - Expert-level skills in RICEFW - Knowledge of P2P module - Knowledge of GL module - Knowledge of Advanced Collections module - Knowledge of Inventory module Company Description At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. - Heart of our culture is ONE with Client - a set of four core values: One Zensar, Nurturing, Empowering, and Client Focus. - Part of the $4.8 billion RPG Group. - Community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. - We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. - We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace.

Role Description - Du nimmst Kundenanforderungen eigenverantwortlich auf und übersetzt sie in klare technische Spezifikationen. - Du entwickelst neue Features, Komponenten und Lösungen – von der Konzeption bis zum fertigen Release. - Du sorgst für saubere Codequalität durch gezielte Fehlerbehebung, Wartung und Refactoring. - Du arbeitest eng mit anderen Teams zusammen und gestaltest agile Entwicklungsprozesse aktiv mit. - Du entwickelst kundenspezifische Erweiterungen und Standardlösungen für unser LIMS-System im Gesundheitsbereich. Qualifications - Leidenschaft für neue Herausforderungen, Engagement und Eigeninitiative. - Eine abgeschlossene Berufsausbildung oder ein Studium, vorzugsweise im Bereich Informatik. - Kenntnisse im Umgang mit PHP, SQL, JavaScript, HTML und CSS sowie Windows und Linux Systemen. - Affinität zur IT und die Motivation, dort tiefer einzusteigen. - Sehr gute Deutschkenntnisse in Wort und Schrift, Englisch ist von Vorteil. Benefits - Je nachdem kannst du remote, hybrid oder bei uns im Büro arbeiten. - Kombiniere Urlaub mit Arbeit: Nutze bis zu 20 Arbeitstage Workation in der EU. - Flexible Arbeitszeiten, die auf deine persönliche und familiäre Situation passen und natürlich ein Gleitzeitkonto. - eGymWellpass und Corporate Benefits. - Betriebliche Altersvorsorge. - Teamevents für Bier- und Wassertrinker, Veganer, Allergiker oder Alles-Esser – bei uns ist Jeder und Jede willkommen, ob alt oder jung, laut oder leise, bairisch oder nicht – unsere „Come as you are“-Mentalität ist Teil unserer Identität. - und, und, und… - Werde Teil unseres Rudels – entwickle mit uns die Zukunft der Labor-IT! Company Description Die LABLIONS software & solutions GmbH ist ein führender Anbieter digitaler Lösungen für medizinische Labore. Unser Unternehmen entstand 2024 aus dem Zusammenschluss der renommierten Firmen MELOS, MDN und AB+M – gemeinsam blicken wir auf über 70 Jahre Branchenerfahrung zurück. Unser Portfolio umfasst modernste Laborinformationssysteme (LIS), E-Health-Lösungen, Order-Entry-Portale, Befund-Apps sowie Systeme zur Auftragsdatenerfassung und Prozessoptimierung. Mit rund 100 Mitarbeitenden an mehreren Standorten gestalten wir die Digitalisierung im Gesundheitswesen aktiv mit und tragen maßgeblich zur Effizienz- und Qualitätssteigerung in Laborprozessen bei.

Role Description Guidewire Integration Developer - PC/BC/CC At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: - One Zensar - Nurturing - Empowering - Client Focus Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status. Qualifications - Experience with Guidewire integration - Strong understanding of PC/BC/CC modules - Proficient in relevant programming languages Requirements - Ability to work collaboratively in a team environment - Strong problem-solving skills - Excellent communication skills Benefits - Competitive salary - Health and wellness programs - Opportunities for professional development

Role Description We are seeking highly qualified Academic Subject Matter Experts (SMEs) to support the development and evaluation of next-generation Artificial Intelligence (AI) systems. Academic Subject Matter Experts will use their academic expertise to create challenging, academically rigorous question-and-answer (Q&A) pairs designed to evaluate advanced AI reasoning capabilities. Questions should require advanced subject-matter reasoning and be supported by authoritative academic and/or primary sources. Depending on project requirements, contributors may also be asked to review and refine AI-generated responses. The work demands deep subject-matter knowledge, rigorous analytical thinking, and the ability to interpret and work confidently with complex academic materials, often in their original language(s). Role Responsibilities - Create original, academically rigorous Q&A pairs in your area of expertise, that require advanced reasoning, are supported by authoritative academic sources, and are designed to challenge current AI models. - Design questions that demand advanced reasoning, synthesis, and specialized domain knowledge rather than easily retrievable facts. - Evaluate and critique AI-generated responses against defined criteria, and revise or rewrite them to a higher standard where required. - Reference primary and secondary academic sources (literature, historical texts, films, manuscripts, scholarly publications, and other discipline-specific material) to ground and verify your work. - Ensure factual accuracy, internal consistency, source traceability, and adherence to project guidelines. - Refine content in response to quality-assurance feedback. - Participate in qualification and calibration exercises prior to project assignment. Qualifications - Master's degree or PhD in the relevant academic discipline (French Literature). - Familiarity with generative AI technologies and AI evaluation methodologies. - Demonstrated expertise through academic study, research, teaching, or publication. - Excellent analytical, critical-thinking, and research skills. - Ability to communicate and justify complex academic judgments clearly and precisely in writing. - Strong attention to detail and an uncompromising commitment to accuracy. Requirements - Idiomatic fluency in French with the confidence to work directly with original-language academic materials. - Professional-level written English, if required for project deliverables (with primary sources cited in their original language). - Additional language combinations may be required depending on project needs. Preferred Qualifications - Previous work in AI data creation, annotation, evaluation, or Large Language Model (LLM) projects strongly preferred. - University teaching or research experience. - Experience creating educational, assessment, or knowledge-based content.