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Title- Lead/Sr Machine Learning Engineer - AWS (with LLM Focus) Containerization: Experience with Docker and container orchestration (e.g., Kubernetes, ECS) for LLM deployment. LLM Deployment Pipelines: Build and manage CI/CD pipelines specifically for LLM deployment, addressing unique challenges like model size, inference optimization, and versioning.
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The Talent Development and Learning Manager will lead the design and deployment of talent and learning initiatives for salaried and non-technician employees. The Talent Development & Learning Manager is a new role responsible for the design and deployment of talent and learning initiatives for our salaried and non-technician employees.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
$150ExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Machine Learning Infrastructure Engineer , you will spearhead the architecture and development of the compute infrastructure essential for model training and deployment. About the Role of Machine Learning Infrastructure Engineer.
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As an SAP SuccessFactors Talent Management & Learning Lead, you will play a critical role in leading the deployment and configuration of the SAP SuccessFactors Performance, Compensation, Succession and Development and Learning solutions for our clients.
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The PTC Field Deployment Specialist ensures the safe and tactical execution and implementation of the Positive Train Control Systems (PTC) through active supervision of operating crews, S&C, Mechanical supervisors and employees.
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on entry-level ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Interface with Data Engineering and Product Development teams for the deployment of high-performing and maintainable Deep Learning and Large Language Models. Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
$130,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with learning experience designers and production associates to ensure activities are designed appropriately for delivery within the platform and appropriate tools/media are integrated and aligned.
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Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Manage Azure DevOps, CI/CD pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment.
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Proven experience in Analog, ASIC & FPGA circuit & IP development, integration, and deployment, including all stages of development from circuit design, SI/PI, RTL place & route, timing closure, CDC/RDC.
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Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Fiber Deployment PM - PMO - Hybrid We are currently recruiting a Project Manager - FIBER/OSP supporting the Southern Tier. This is a Fiber Deployment Project Manager that will work with the Engineering and construction teams.
$45 an hour depends on experienceFull-timeExpandApply NowActive JobUpdated Today
deployment learning jobs Title: platform engineer Company: Baird
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