Reprocessing Operator Jobs

Work Flexibility: Onsite Resumen de Puesto Realizar tareas sencillas para reprocesar los productos, que pueden incluir, entre otras, la limpieza, las pruebas, el plegado, la inspección visual y el enrollado. Seguir los procedimientos y directrices establecidos para limpiar el producto. Operar el equipo de limpieza y utilizar los productos químicos y otros productos de limpieza de forma segura y de acuerdo con las instrucciones. Responsable de las órdenes de trabajo de producción específicas de su línea de productos y/o asignación de célula de trabajo. Responsable de conocer, seguir y no desviarse de los procedimientos adecuados asignados a su línea de producto y/o célula de trabajo. 2. Responsabilidades y Funciones • Completa las tareas repetitivas y sigue los procedimientos junto con las instrucciones escritas y verbales • Inspecciona y limpia los dispositivos con productos químicos de limpieza, alcohol y suministros designados, utilizando herramientas finas o pequeñas, como cepillos o rodillos • Realizar pruebas sencillas de funcionamiento de los productos utilizando un probador automático sencillo o una pequeña máquina de pruebas • Doblar y colocar manualmente los dispositivos/productos en bolsas • Puede sellar las bolsas con una máquina de sellado y colocar las etiquetas adecuadas utilizando una impresora de etiquetas • Validar los componentes de sustitución como equivalentes a los nuevos cuando sea necesario • Cumplir con los objetivos definidos dentro de los factores clave de éxito de Stryker: Calidad Primero, Experiencia del Cliente, Innovación, Desarrollo de las Personas y Resultados Financieros • Responsable de participar en la mejora continua, las 5S, la limpieza diaria/semanal y de aportar sugerencias o ideas • Respon

Work Flexibility: Onsite Resumen de Puesto Realizar tareas sencillas para reprocesar los productos, que pueden incluir, entre otras, la limpieza, las pruebas, el plegado, la inspección visual y el enrollado. Seguir los procedimientos y directrices establecidos para limpiar el producto. Operar el equipo de limpieza y utilizar los productos químicos y otros productos de limpieza de forma segura y de acuerdo con las instrucciones. Responsable de las órdenes de trabajo de producción específicas de su línea de productos y/o asignación de célula de trabajo. Responsable de conocer, seguir y no desviarse de los procedimientos adecuados asignados a su línea de producto y/o célula de trabajo. 2. Responsabilidades y Funciones • Completa las tareas repetitivas y sigue los procedimientos junto con las instrucciones escritas y verbales • Inspecciona y limpia los dispositivos con productos químicos de limpieza, alcohol y suministros designados, utilizando herramientas finas o pequeñas, como cepillos o rodillos • Realizar pruebas sencillas de funcionamiento de los productos utilizando un probador automático sencillo o una pequeña máquina de pruebas • Doblar y colocar manualmente los dispositivos/productos en bolsas • Puede sellar las bolsas con una máquina de sellado y colocar las etiquetas adecuadas utilizando una impresora de etiquetas • Validar los componentes de sustitución como equivalentes a los nuevos cuando sea necesario • Cumplir con los objetivos definidos dentro de los factores clave de éxito de Stryker: Calidad Primero, Experiencia del Cliente, Innovación, Desarrollo de las Personas y Resultados Financieros • Responsable de participar en la mejora continua, las 5S, la limpieza diaria/semanal y de aportar sugerencias o ideas • Respon

Work Flexibility: Field-based As an Endoscopy OnSite Specialist, you’ll play a critical role in supporting surgical teams by managing the transportation, reprocessing and high‑level disinfection (HLD) of flexible endoscopes and TEE probes in alignment with hospital policy and ANSI/AAMI standards, helping ensure equipment, processes and workflows run smoothly to drive exceptional patient care. *Love having your mornings free? This role offers a consistent Monday-Friday schedule from 2:00 PM to 10:30 PM, giving you time during the day for appointments, errands, family time, or whatever matters most to you. Plus, you'll earn an additional $1/hour shift premium. What You Will Do Transport flexible scopes and probes safely between procedural areas and reprocessing sites, take the lead on leak testing, manual cleaning and automated or manual HLD, and ensure every processed scope and probe is promptly returned to its designated storage location to keep teams moving and patient care flowing. Maintain communication with clinical departments regarding instrument availability. Validate and document all HLD cycles and labeling while maintaining accurate, detailed records, including procedure information, equipment usage, monthly performance metrics, and account updates, to ensure compliance and continuity of service. Stay current through ongoing training, maintaining a strong working knowledge of Stryker equipment, disposable products, and new technologies while educating clinical staff on product use. Follow all safety, facility, and privacy standards, including patient confidentiality requirements, while maintaining a professional appearance, work ethic, and customer‑focused mindset. Provide flexible coverage, including rotating schedules, on‑call, overnight and weekend shifts, and support for other accounts within

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As part of the broader Addepar Data organization, the Alternatives Data Ops team is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. This role will include managing a team and reviewing Private Fund statements, modifying data that has been incorrectly extracted by our machine learning models, and reprocessing the data within SLAs. The Alternatives Data Ops team plays a critical role in the success of Addepar's Alternatives offering and requires daily communications with the Alternatives Product Team, Machine Learning Operations, clients, data providers (GPs and Fund Admins), and add

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Overview As our lead AI/ML Engineer , you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets—including configurations, security alerts, and raw network logs—into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations. Key Responsibilities Architect AI Systems: Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications tailored to parse and reason over security telemetry and unstructured logs. Model Development & Tuning : Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification across massive, heterogeneous security datasets. Ensure AI Trust & Alignment : Implement strict guardrails, evaluation frameworks, and safety alignment techniques to ensure all model outputs and recommendations are deterministic, safe, and highly accurate. Establish MLOps: Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production), collaborati

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team’s mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals. We are looking for a Data Scientist to join our Trust team. You and your team will work to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams. You will also work closely with stakeholders in Legal and Platform Integrity. To succeed in this role, you should have proven experience in developing and deploying ML models, ideally using graph data. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production is expected, as you will be responsible for implementing end-to-end solutions—from data preprocessing