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Manager, Machine Learning Engineer
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NYU Langone HealthNew YorkPosition Summary We have an exciting opportunity to join our team as a Engineer II - Applied AI.As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning init
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The TalentHausNew YorkThis range is provided by The TalentHaus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range$200,000.00/yr - $300,000.00/yr Additional
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Workday, Inc.New YorkSeeking a full-time remote Machine Learning Engineer to drive the design and development of the Document Intelligence Platform, focusing on building and optimizing features such as document entity ext
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ICW INSURANCE COMPANY OF THE WESTNorforkPurpose of the Job The Machine Learning Engineer (MLE) selected for this role at ICW Group will build and deploy high-performing machine learning models across the enterprise. As an MLE on the rapidly
Machine Learning Engineer
CiscoSeattleThe application window is expected to close on: 07/31/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.This is a hybrid role bas
Machine Learning Engineer
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Machine Learning Engineer
TheTalentosAtlantaWe are supporting a client in the Risk and Insurance industry in the search fora driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business i
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Vannevar LabsNew YorkVannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built
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Arena AIUnited StatesSenior Machine Learning EngineerArena Intelligence is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You'll play
Manager, Machine Learning Engineer
- United States
- United States
À propos
Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures. Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams. Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards. Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives. Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions. Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities. Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment. Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems. Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements. Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions. Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals. Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms. Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders. Participates in special projects and performs other duties as assigned. Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. Minimum of eight years related work experience. Vanguard is not offering visa sponsorship for this position. At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Compétences linguistiques
- English
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