Document Control Training Manager Jobs

POSITION SUMMARY Natera is seeking a Principal AI Engineer to set technical direction for, and hands-on build of, the Vector Store GenAI Platform that powers document intelligence and retrieval across our Real-World Data (RWD) organization. The platform ingests clinical documents from multiple sources, indexes them for high-quality search, and makes that content available to downstream AI workflows and business use cases across oncology and other clinical domains. This is a principal-level individual contributor role with architecture-plus-build ownership of retrieval, document processing, and ingestion systems. You will define platform strategy and sequencing, ship production code in a cloud environment, raise the reliability and quality of search and retrieval, and prove new approaches through POCs and benchmarks. You will partner with clinical, engineering, and product leaders to turn ambiguous priorities into a clear technical roadmap, establish standards for how retrieval serves agents and re-extraction workflows, and deliver measurable improvements in platform quality and operability—with high autonomy and limited day-to-day direction. The ideal candidate combines deep hands-on engineering with a track record of owning complex AI platforms end to end. You set direction, implement critical path yourself, and elevate the technical bar across the teams that consume and extend the platform. RESPONSIBILITIES Own platform architecture and hands-on delivery for the Vector Store GenAI Platform, including search and retrieval, document processing and chunking, ingestion pipelines, and APIs that serve downstream AI workflows. Set technical direction for hybrid search and retrieval quality; evaluate embedding models and retrieval approaches through working implementations, POCs, and benchmarks, and drive adoption of what works in production. Advance document parsing and chunking so clinical content is indexed in a way that supports accurate, structured, and faceted retri

This role is responsible for executing daily preventive and corrective maintenance tasks to ensure the optimal functioning of various BOP systems. This role will plan and document maintenance activities, manage environmental compliance, and verify financial transactions through site measurements. Additionally, this role will ensure equipment health through regular inspections, manage on-site personnel and PPE usage, and coordinate with quality departments to maintain system integrity. Source: Adani Group | Job ID: 60229

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Front End Operations Supervisor is responsible for leading a team of approximately 20 employees and overseeing the day-to-day operations of mail intake, document processing, and workflow management. This role provides direct supervision, coaching, and performance support through regular one-on-one meetings, team communications, and operational oversight to ensure service levels and business objectives are met. Key responsibilities include managing the daily workload associated with in-house printing, returned mail processing, document scanning, check handling, and mail indexing activities. The Supervisor is responsible for monitoring work queues, balancing resources, addressing operational issues, and ensuring timely and accurate processing of all incoming and outgoing work. This person serves as a primary liaison with the mailroom vendor, coordinating the receipt, processing, and distribution of incoming mail. The Supervisor partners with internal and external stakeholders to identify process improvement opportunities, resolve service issues, and ensure operational efficiency across all front-end mail operations. Additionally, this role supports departmental initiatives and special projects, assists with process documentation and workflow enhancements, and contributes to the implementation of operational improvements designed to increase productiv

This role is responsible for executing daily preventive and corrective maintenance tasks to ensure the optimal functioning of various BOP systems. This role will plan and document maintenance activities, manage environmental compliance, and verify financial transactions through site measurements. Additionally, this role will ensure equipment health through regular inspections, manage on-site personnel and PPE usage, and coordinate with quality departments to maintain system integrity. Source: Adani Group | Job ID: 56101

ABOUT THE TEAM The Canvas Core team builds and maintains the foundational platform that powers Mural’s visual thinking experience. This includes the infinite canvas, key editor components, document editing behaviors, asset management, real-time collaboration, and the systems that enable fast, reliable, and intuitive interaction on the canvas. We’re also responsible for the Mural UI, the real-time message protocol that enables seamless remote collaboration, and the developer-friendly APIs that internal teams use to build features like diagramming, workshops, presentations, integrations, and AI-enabled product capabilities. Our mission is to ensure the Mural editor is fast, reliable, intuitive, and easy to build on. We prioritize performance, simplicity, developer experience, and platform quality, enabling teams across the company to ship quickly and safely on top of Canvas Core. YOUR MISSION As a Senior Software Engineer, you’ll help design, build, and improve the Canvas platform so that the Mural editor remains reliable, high-performing, and intuitive for our users. You’ll work on the systems that power real-time collaboration, shared document editing, spatial interactions, rendering and interaction performance, asset management, developer APIs, and AI-enabled product capabilities across the Mural editor. Your role will be to reduce platform complexity, improve the quality and speed of Canvas development, and help teams ship high-quality editor experiences quickly and safely. You’ll partner closely with Product, Design, Engineering, and other stakeholders to turn ambiguous product and platform problems into clear, maintainable technical solutions. Senior Engineers at Mural lead by example through strong technical execution, thoughtful design, high-quality implementation, and collaborative problem-solving. They help raise the bar for their team through design discussions, code reviews, mentoring, documentation, and pragmatic improvements to engineering practices. WHA

Contexte : Offre de stage de recherche de master d’une durée de 4 à 6 mois, débutant en hiver 2026-2027. Ce document liste les possibles directions pour le stage, qui seront ajustées au fil du stage. Le stage aura lieu au sein du centre de recherche d’Artefact à Paris. L’objectif est d'étudier les réseaux de neurones dans un cadre où l’on souhaite garantir l'indépendance des prédictions vis-à-vis d'une variable sensible continue (telle que l'âge, le revenu, la couleur de peau, etc.). Présentation d’Artefact : Artefact est une société internationale de services autour de la data, spécialisée dans le conseil en transformation data, dont la mission est de transformer la donnée en délivrant des résultats tangibles sur l’ensemble de la chaîne de valeur des entreprises. L’approche unique d’Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d’atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 employés allient leurs compétences pluridisciplinaires au profit de l’innovation business des entreprises. Nos technologies de pointe en Intelligence Artificielle, nos méthodes agiles garantissent le succès des projets IA de nos clients, de la conception au déploiement, jusqu’à la formation et l’accompagnement au changement. Sujet : Les réseaux de neurones sont aujourd'hui au cœur de nombreuses applications industrielles. Leur capacité à extraire des représentations riches à partir des données en fait des outils de choix, mais elle les rend aussi susceptibles d'encoder et d'amplifier des biais présents dans les données d'apprentissage, renforçant ainsi des discriminations chez les populations traitées par ces modèles [1]. Cet enjeu est un domaine de recherche dénommé fairness, et est particulièrement dynamique, avec la réglementation des modèles d’IA qui évolue, comme par exemple avec l’AI Act de l’Union Européenne. Pour mesurer et mitiger les biais discriminatoires dans les modèles, la littérature s'est majoritairement co

This role is responsible for executing daily preventive and corrective maintenance tasks to ensure the optimal functioning of various BOP systems. This role will plan and document maintenance activities, manage environmental compliance, and verify financial transactions through site measurements. Additionally, this role will ensure equipment health through regular inspections, manage on-site personnel and PPE usage, and coordinate with quality departments to maintain system integrity. Source: Adani Group | Job ID: 59322

This role is responsible for executing daily preventive and corrective maintenance tasks to ensure the optimal functioning of various BOP systems. This role will plan and document maintenance activities, manage environmental compliance, and verify financial transactions through site measurements. Additionally, this role will ensure equipment health through regular inspections, manage on-site personnel and PPE usage, and coordinate with quality departments to maintain system integrity. Source: Adani Group | Job ID: 59320

This role is responsible for executing daily preventive and corrective maintenance tasks to ensure the optimal functioning of various BOP systems. This role will plan and document maintenance activities, manage environmental compliance, and verify financial transactions through site measurements. Additionally, this role will ensure equipment health through regular inspections, manage on-site personnel and PPE usage, and coordinate with quality departments to maintain system integrity. Source: Adani Group | Job ID: 58854

This role is responsible for executing daily preventive and corrective maintenance tasks to ensure the optimal functioning of various BOP systems. This role will plan and document maintenance activities, manage environmental compliance, and verify financial transactions through site measurements. Additionally, this role will ensure equipment health through regular inspections, manage on-site personnel and PPE usage, and coordinate with quality departments to maintain system integrity. Source: Adani Group | Job ID: 58795

This role is responsible for executing daily preventive and corrective maintenance tasks to ensure the optimal functioning of various BOP systems. This role will plan and document maintenance activities, manage environmental compliance, and verify financial transactions through site measurements. Additionally, this role will ensure equipment health through regular inspections, manage on-site personnel and PPE usage, and coordinate with quality departments to maintain system integrity. Source: Adani Group | Job ID: 57768

Location: Mumbai, Maharashtra/ Chennai Ambattur Key Responsibilities: Gather, analyze, and document business requirements for Temenos Infinity / Digital Banking implementations, translating them into functional specifications and user stories. Facilitate requirement elicitation workshops with business stakeholders to define digital origination, onboarding, and servicing journeys. Document current and future-state business processes, workflows, and use cases for CSR journeys and Digital Banking Servicing Micro Apps. Collaborate with technical consultants to configure and validate Visualizer-based journeys aligned to business requirements. Define and review BPMN and DMN process flows and task workflows supporting business operations. Conduct gap analysis between standard Temenos Infinity functionality and client-specific requirements, proposing configuration or extensibility options. Prepare Business Requirement Documents (BRDs), Functional Specification Documents (FSDs), and requirement traceability matrices. Translate business requirements into technical inputs for Fabric Experience APIs and Temenos Digital Microservices configurations. Plan and support User Acceptance Testing (UAT), including test case design, execution support, and defect triage with business stakeholders. Liaise between business stakeholders, technical teams, and project management to ensure requirements are correctly understood and delivered. Assist with change impact assessments, training material preparation, and end-user training for Temenos Digital solutions. Contribute to solution design discussions, ensuring alignment with business goals, scalability, and regulatory requirements. Track, manage, and obtain sign-off on requirement changes throughout the project lifecycle. Support pre-sales and solution consulting activities, including RFP responses and solution demonstrations, as required. Share domain and functional knowledge, providing guidance and training to internal teams o

Technical Accounting Analyst Description - US GAAP Technical Accounting – Financial Analyst Responsibilities: Technical Accounting role will handle the following types of responsibilities: Lead technical accounting research and preparation of position papers; document conclusions of key judgments and estimates with management and external auditors Providing support to finance teams and business partners on technical accounting matters as required, including research, analysis, and documentation of conclusions related to contracts and operational matters and leading the implementation of, and compliance with, new accounting requirements Ensuring the quarterly contingency and one-timer reporting process is executed with no exception. Performing extensive benchmarking evaluations Monitoring, assessing, documenting and communicating new GAAP, SEC and other accounting and disclosure issues Coordinating with various departments to assist in providing and vetting financial information Drafting and updating AFM accounting policies and memos These activities will involve actively participating in meetings across multiple organizations and identifying and solving problems. There will also be involvement with quarter end close activities including providing auditors documentation to support the accounting conclusions made. Skills needed: Detailed understanding of accounting rules Consults with business leaders to guide and influence strategic decision-making within a broad scope. Identifies opportunities for process improvement and policy development and engages in the design. Ability to influence multiple organizations within a broad scope, typically interacting with other managers and directors. Excellent understanding of accounti

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML