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Hybrid in San Antonio, Texas

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Today

Job Number: R0237159 MLOps Engineer The Opportunity: As an experienced MLOps engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Agentic AI platform development. As a MLOps engineer on our Air Power team, you'll train, t

Full-time

USD 128,700.00 - 292,000.00 per year

MLOPS Engineer

Remote

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Today

Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps Strong programming skills, preferably in languages like Python, Java, or Scala Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn Experience with containerization technologies, like Docker and Kubernetes Familiarity with ML model deployment tools, such as MLflow or Kubeflow Working experience in the Azure cloud platform Au

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Full-time

Depends on Experience

AI/MLOps Engineer

Remote or Atlanta, Georgia

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Today

RESPONSIBILITIES: Kforce has a client seeking a remote AI/MLOps Engineer to join their team in Atlanta, GA. The AI/MLOps Engineer will support AI-driven initiatives within an ITSM environment. This role will focus on working with existing, pre-built models and building solutions around them, including agents, automation, and data-driven insights. The primary goal is to leverage data across multiple systems to identify patterns, detect correlations, and provide proactive insights into potential i

Contract

$45 - $55 hourly

MLOps Engineer with Azure Databricks, Data Factory, Python

Remote

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6d ago

Minimum total of 6+ years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOpsWe are seeking a passionate Azure AI/ML Ops engineer to create data platform and pipeline to enable advanced analytics.AI/MLOPS Engineers are the crafters of automation, turning data-driven models into practical applications. They take the prototypes developed by Data Scientists and fine-tune them for scalability, efficiency, and real-world deployment. Their expertise

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Contract

Depends on Experience

AI Engineer - MLOps

Remote

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7d ago

Key Responsibilities Multi-Cloud Pipeline Execution: Build and maintain automated CI/CD and CT (Continuous Training) pipelines across AWS (SageMaker/Bedrock) and Azure (AI Studio). LLMOps Framework Implementation: Design and execute the infrastructure for Retrieval-Augmented Generation (RAG), including vector database management (OpenSearch, Pinecone, or Azure AI Search) and semantic index optimization. Legacy Data Connectivity: Build the engineering "pipes" to securely ingest and move data f

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Full-time

Up to 1600000

Senior AI/ML Engineer - MLOps & Production AI Systems - Remote or Hybrid in MN/DC

Remote or Eden Prairie, Minnesota

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Today

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health op

Full-time

USD 91,700.00 - 163,700.00 per year

Databricks MLOps Engineer

Remote or Hybrid in Columbus, Ohio

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10d ago

Databricks MLOps Engineer(please no Corp to Corp or sponsorship requests)Position SummaryExpeed Software is dedicated to helping organizations accelerate digital transformation through modern engineering, cloud-native solutions, and intelligent data platforms. As part of our growing AI and Data Engineering practice, we are seeking a passionate Azure AI/MLOps Engineer to design and operationalize scalable AI and machine learning solutions. In this role, you will transform data science prototypes

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Full-time

170,000 - 190,000

AI Sr. Engineer LLMOps & MLOps

Remote

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7d ago

Role Overview This is a high-stakes, execution-focused role within the Transformation Office. We are looking for a "day-one" engineer to own the production lifecycle of our AI initiatives. Your mission is to build the automated infrastructure that bridges our legacy data systems with modern AWS and Azure AI services. You will be responsible for the "Ops" of AI: ensuring that LLM applications, RAG pipelines, and traditional ML models are deployable, observable, and scalable in a multi-cloud envir

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Full-time

$150 - $170

AI Sr. Engineer LLMOps & MLOps

Remote

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7d ago

We are looking for a highly seasoned resource for the below role: AI Sr. Engineer LLMOps & MLOps **DIRECT HIRE** Job Description Role Overview This is a high-stakes, execution-focused role within the Transformation Office. We are looking for a "day-one" engineer to own the production lifecycle of our AI initiatives. Your mission is to build the automated infrastructure that bridges our legacy data systems with modern AWS and Azure AI services. You will be responsible for the "Ops" of AI: ensurin

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Full-time

$150,000 - $170,000

Sr. Engineer LLMOps & MLOps --REMOTE 100%

Remote

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Yesterday

Education: Bachelors degree in Computer Science or a related field required; Masters degree in a quantitative discipline highly desirable. Proven Execution: 6+ years of engineering experience, with a minimum of 3 years strictly focused on MLOps or LLMOps in a production environment.AWS & Azure Mastery: Deep, hands-on proficiency in both ecosystems. You must be able to configure Bedrock and Azure OpenAI services, including private networking and endpoint security, on day one.Technical Stack: Exp

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Contract

Depends on Experience

ML Operations Engineer - Associate Vice President

Remote or Irving, Texas

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Today

We are seeking an experienced MLOps Engineer to join our DevOps and Infrastructure Engineering team. This role is crucial for operationalizing, scaling, and maintaining our Artificial Intelligence (AI) and Machine Learning (ML) applications. The successful candidate will leverage their expertise to ensure seamless, scalable, and reliable deployment and management of AI/ML models, working closely with data scientists and ML engineers. This position requires strong proficiency in Python, hands-on

Full-time

USD 107,120.00 - 160,680.00 per year

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