Company Description zipp.ai is building AI to improve Food & Drug Quality. We are revolutionizing Quality & GxP compliance for Pharma and Food industries. Our mission is to ensure 100% compliance with Good Manufacturing Practices (GMP) by proactively detecting deviations and analyzing process gaps. We provide innovative solutions to tackle quality and compliance challenges faced by manufacturers, leveraging advanced technology and AI to enhance product quality and operational efficiency. Why Join zipp.ai? High Impact: You will be a foundational member of the AI team, with your work directly shaping our core products and value proposition. Cutting-Edge Work: Tackle challenging problems at the intersection of AI and a critical, regulated industry. Growth & Mentorship: Work directly with an experienced founding team (ex-Microsoft, ex-Accenture) and a world-class advisory board. Startup Culture: Experience a fast-paced, agile, and collaborative environment with significant learning opportunities. Competitive Compensation: We offer a competitive salary and the potential for equity (ESOPs) for a core team member. Role Description As an AI/ML Engineer at zipp.ai, you will be at the heart of our product innovation. You will research, design, develop, and deploy the core AI models that power our platform, from analyzing complex regulatory documents to identifying anomalies in manufacturing data. This role requires a strong foundation in machine learning and a passion for applying cutting-edge technology, especially Large Language Models (LLMs) and Natural Language Processing (NLP), to solve real-world problems. Key Responsibilities Design, train, fine-tune, and deploy ML/NLP models for tasks such as document understanding, gap analysis, data classification, and trend analysis. Work extensively with LLMs, including prompt engineering, fine-tuning, and implementing retrieval-augmented generation (RAG) pipelines for our domain-specific conversational AI features. Develop and maintain data processing pipelines for cleaning, preparing, and managing large datasets (primarily textual and structured data). Integrate trained models into our cloud-based application (hosted on Azure) by building and maintaining robust APIs. Rigorously evaluate model performance using appropriate metrics (accuracy, precision, recall, etc.) and continuously iterate to improve results. Collaborate closely with our CTO, product team, and GxP domain experts to translate business requirements into technical AI solutions. Stay current with the latest advancements in AI, ML, and NLP and champion new techniques that can enhance our product suite. Skills & Qualifications We Require: Proven hands-on experience in building and deploying machine learning or generative AI models. Strong proficiency in Python and core AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Solid experience with Natural Language Processing (NLP) techniques and libraries (e.g., Hugging Face Transformers, NLTK, spaCy). Demonstrable experience working with Large Language Models (LLMs) and associated technologies. Familiarity with software engineering best practices, including version control (Git) and API development. What Will Make You Stand Out (Preferred Skills): Experience with cloud platforms, particularly Microsoft Azure and its AI/ML services. Understanding of MLOps principles for managing the model lifecycle. Experience with vector databases and semantic search. Startup experience and a proactive, problem-solving mindset. If you are driven to build intelligent solutions that have a real-world impact on product quality and safety, we would love to hear from you. How to Apply: Please apply directly via LinkedIn or send your resume and a brief introduction to hr@zipp-ai.com Show more Show less

Company Description zipp.ai is building AI to improve Food & Drug Quality. We are revolutionizing Quality & GxP compliance for Pharma and Food industries. Our mission is to ensure 100% compliance with Good Manufacturing Practices (GMP) by proactively detecting deviations and analyzing process gaps. We provide innovative solutions to tackle quality and compliance challenges faced by manufacturers, leveraging advanced technology and AI to enhance product quality and operational efficiency. Why Join zipp.ai? Foundational Role: Be one of the first implementation experts in a growing company, with the opportunity to define our customer onboarding and success playbook. High Impact: Your work will directly impact customer satisfaction, retention, and the overall success of zipp.ai. Cutting-Edge Technology: Work at the intersection of AI and the critical Life Sciences compliance domain. Growth & Mentorship: Collaborate directly with an experienced founding team in a fast-paced learning environment. Competitive Compensation: We offer a competitive salary and the potential for equity (ESOPs) as a core team member. Role Description As our SaaS Implementation Consultant, you will be the bridge between our innovative AI platform and our clients' complex GxP environments. You will be responsible for the entire post-sale customer journey, from initial discovery and solution design to configuration, training, and ongoing support. Your work will be critical to ensuring customer success, driving adoption, and building the foundation for long-term partnerships. Key Responsibilities Needs Assessment: Lead discovery workshops with clients to deeply understand their specific GxP processes, quality systems, document hierarchies, and compliance requirements to ensure our solution is tailored to their needs. Solution Design: Plan and architect the end-to-end implementation strategy, including defining configuration specifications, mapping data flows, and planning integrations with existing client systems (e.g., QMS, DMS). Configuration and Testing: Configure our AI platform according to the solution design, including setting up user roles, workflows, and initial rule sets. You will also manage and support User Acceptance Testing (UAT) with the client. Training and Onboarding: Develop and deliver comprehensive training materials and sessions for various user groups, from SMEs and QA to general users, guiding them through a smooth onboarding process. Issue Resolution: Act as the primary technical point of contact for clients during implementation, expertly troubleshooting and resolving any functional or technical issues that arise. Project Management: Manage the implementation project lifecycle from kickoff to go-live, creating project plans, tracking progress against milestones, managing scope, and ensuring deadlines are met. Customer Support & Success: Provide post-go-live support to ensure clients are successfully using the platform, while gathering feedback to share with the product and engineering teams for continuous improvement. Skills & Qualifications We Require Proven experience in a client-facing role, such as SaaS implementation, technical consulting, or solutions architecture. Technical Skills: Solid understanding of SaaS architecture, cloud technologies (e.g., Azure), API integrations, and software development lifecycles. Communication Skills: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Problem-Solving Skills: A strong analytical and systematic approach to identifying, troubleshooting, and resolving complex issues. Project Management Skills: Demonstrated ability to manage projects, prioritize tasks, manage timelines, and communicate status effectively. Business Acumen: A good understanding of general business processes and the ability to connect technology solutions to tangible business value like efficiency and productivity. What Will Make You Stand Out (Preferred Skills) Experience in the Pharmaceutical, Food, or Medical Device industries. Strong knowledge of GxP regulations (GMP, GCP, etc.) and quality management principles. Quality Assurance professional, or experience with Quality Assurance projects 1-2 years of consulting experience Experience with common Life Sciences systems (e.g., Veeva Vault, MasterControl, TrackWise, LIMS, MES). Prior experience implementing AI/ML-based SaaS products is a significant plus. If you are driven to build intelligent solutions that have a real-world impact on product quality and safety, we would love to hear from you. How to Apply: Please apply directly via LinkedIn or send your resume and a 20-words write-up on "What makes you different from other candidates?" to hr@zipp-ai.com Show more Show less