Kubeflow jobs in remote

Scottsdale, Arizona

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2d ago

Role :MLOps Engineer Location : Scottsdale AZ (Onsite) Indents : We are looking for a skilledMLOpsEngineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance. Key Responsibilities Design and implement end-to-end ML pipelines from data ingestion to model deploymentBuild and manage CI/CD pipelines for ML models (training, testing, deplo

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Third Party, Contract

60 - 63

AI Foundation Model Engineer (LLM / Agentic AI / Full-Stack AI Engineering)

Jersey City, New Jersey

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25d ago

AI Foundation Model EngineerLLM / Agentic AI / Full-Stack AI Engineering Level:Senior Individual Contributor Experience:9+ years Role OverviewWe are seeking a Senior AI Foundation Model Engineer to build and deploy secure, scalable, enterprise-grade AI solutions using LLMs, RAG and agentic workflows. The role involves developing production AI applications and reusable services for an AWS-hosted, cloud-agnostic AI platform. Key ResponsibilitiesBuild LLM applications, RAG pipelines, knowledge assi

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Contract

Depends on Experience

Data / ML Ops Engineer

Remote

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24d ago

Job Title: Data/ML Ops Engineer Job Description: The backbone that keeps AI running. Manage data pipelines, model deployment, monitoring, and infrastructure automation to ensure reliable, scalable ML in production. Key Requirements: 4+ years in DevOps, Data Engineering, or MLOps Strong experience with Docker, Kubernetes, and CI/CD (GitHub Actions, GitLab CI) Hands-on with MLflow, Kubeflow, Airflow, or Prefect Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and IaC (Terraform,

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Third Party, Contract

$60 - $65

ML Ops Engineer

Concord, California

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4d ago

Hi, ONLY LOCAL CANDIDATES - FACE TO FACE INTERVIEW MUST Job Title: ML Ops Engineer Location : Concord, California Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. Thanks & Regards,Preethi SReveille Technologies Inc.,

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Contract, Third Party

Depends on Experience

ML Ops Engineer (REMOTE :: W2 ONLY)

Remote or Texas

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Today

Required Qualifications Bachelor's degree in Information Systems or related field 3 6 years of experience in ML projects (with 18+ months in MLOps) Strong programming skills (Python, Java, or Scala) Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with Azure cloud platform Familiarity with Docker and Kubernetes Experience with ML deployment tools (MLflow, Kubeflow)

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Full-time, Contract

Azure AI/ML Ops Engineer

Remote

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2d ago

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 Automation of machine learning model deploym

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Contract

Depends on Experience

Mlops Engineer - only W2

Hybrid in Minneapolis, Minnesota

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20d ago

We recommend focusing on candidates with strong hands-on experience inGoogle Vertex AI-based batch processing pipelines. The ideal candidate should demonstrate expertise in the following areas: End-to-End Machine Learning Pipeline Development Data pre-processingBatch prediction workflowsPost-processing activities ML Pipeline Development & Orchestration Hands-on experience building and orchestrating machine learning pipelines using: Kubeflow Pipelines (KFP Components)Google Cloud Dataflow(includ

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Contract

Depends on Experience

Sr Lead AI Data Engineer - 100% onsite work and onsite interview

Silver Spring, Maryland

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12d ago

Bachelors degree in Computer Science, Data Science, Engineering, or a related field 15+ years of experience in software or data engineering, with at least 4 years focused on ML systems or MLOps in a production environment. Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units. Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face). Hands-on experience with MLOps tooli

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Contract

Depends on Experience

Sr Lead AI Data Engineer - 100% onsite work and onsite interview

Silver Spring, Maryland

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5d ago

100% Onsite Role - Onsite interview in MD Bachelors degree in Computer Science, Data Science, Engineering, or a related field 15+ years of experience in software or data engineering, with at least 4years focused on ML systems or MLOps in a production environment. Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units. Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging

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Contract

Depends on Experience

Sr Lead AI Data Engineer - 100% onsite work and onsite interview

Woodlawn, Maryland

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4d ago

100% Onsite Role - Onsite interview in MD Bachelor degree in Computer Science, Data Science, Engineering, or a related field 15+ years of experience in software or data engineering, with at least 4years focused on ML systems or MLOps in a production environment. Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units. Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging F

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Contract

Depends on Experience

Site Reliability Engineering (SRE)-MI focus (Need locals to CA & TX)

Sunnyvale, California

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2d ago

Design and implement cloud solutions, build MLOps on cloud (AWS or Google Cloud Platform)Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Flux, Kustomize, Circle CI, Airflow or similar toolsData science model containerization, deployment using docker, VLLM, KubernetesData science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its qualityData science models testing, validation and tests automationCommunicate wi

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Contract, Third Party

$50 - $60

AI/ML Engineer – Vertex AI - Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL.

Remote or Columbia, South Carolina

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2d ago

Job Title: AI/ML Engineer Vertex AI Location: Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL. Looking for W2 candidates. No C2C Job Summary We are hiring an AI/ML Engineer with expertise in Google Cloud Platform (Google Cloud Platform) to develop enterprise AI solutions using Vertex AI, BigQuery ML, Generative AI, and cloud-native machine learning technologies. Key Responsibilities Develop AI/ML applications using Vertex AI. Build ML pipelines using Ve

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Contract

Depends on Experience

Principal AI Infrastructure Architect

Remote

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Yesterday

Job SummaryWe are seeking a Principal AI Infrastructure Architect to design, build, and operate secure, scalable GPU-accelerated AI platforms. The ideal candidate will have deep expertise in Kubernetes, NVIDIA DGX infrastructure, InfiniBand networking, BlueField DPUs, and MLOps platforms. This is a hands-on architecture role responsible for building production-grade AI infrastructure that supports large-scale ML training and inference workloads. Key ResponsibilitiesKubernetes & AI Platform Archi

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Contract

Depends on Experience

Senior Software Engineer – Data Infrastructure (Python | AWS/Google Cloud Platform | Kubernetes)

Redwood City, California

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3d ago

Job Title: Senior Software Engineer Data Infrastructure (Python | AWS/Google Cloud Platform | Kubernetes) Location: Redwood City, CA (On-site) We are seeking an experienced Software Engineer Data Infrastructure to build scalable data platforms that support AI/ML applications. This role focuses on designing distributed data pipelines, processing large-scale multimodal data, and developing tools that improve data quality, visualization, and model evaluation. Responsibilities: Build and ma

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Full-time, Third Party

$180000 - $270000

AI Solutions Architect

Remote

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24d ago

Job Title: AI Solutions Architect Job Description: Design the big-picture AI infrastructure, tooling strategy, and deployment architecture. You'll define the tech stack, optimize cost/performance trade-offs, and guide engineering teams on AI best practices. Key Requirements: 8+ years in software/ML engineering, with 3+ in solution architecture Deep knowledge of cloud AI platforms (AWS SageMaker, Azure AI, Google Cloud Platform Vertex AI) Experience designing end-to-end ML pipelines (data traini

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Third Party, Contract

$80 - $85

AI/ML Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.

Remote or Boston, Massachusetts

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2d ago

Job: Senior AI/ML Engineer Location: Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY. Contact: 12+ Months Looking for W2 candidates. No C2C Job Responsibilities Design, develop, and deploy AI/ML models for enterprise applications. Build scalable machine learning pipelines and data preprocessing workflows. Develop and optimize LLM, NLP, and Generative AI solutions. Integrate AI models with cloud platforms and production systems. Monitor model performance, retrain models,

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Contract

Depends on Experience

MLOPs Engineer - Scottsdale AZ (100% Onsite)

Arizona

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19d ago

One of our clients is currently hiring for the position of MLOps Engineer Please find the job details below. If you are interested, kindly share your most recent resume at [] Role : MLOps Engineer Location : Scottsdale AZ (100% Onsite) Hire Type : Contract Role Overview We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliabil

Contract, Third Party

AI/ML Engineer

Hybrid in Phoenix, Arizona

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2d ago

Job Title: : AI/ML Engineer Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration: Long Term Contract Responsibilities Design, build, and enhance AI/ML and generative AI solutions using Python, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and agentic AI frameworks. Partner with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, scalable, and responsible AI solutions. Develop and support data-pro

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Third Party, Contract

Depends on Experience

AI/ML Architect

San Jose, California

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2d ago

Job Title: AI/ML architect Location: San Jose, CA(Onsite) Contract: 6-9+ months. Experience: 09+ years Job Description: Mandatory Skills: Agentic AI/ADK/Python We are looking for a skilled MLOps Architect to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated workflows, ens

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Contract

Depends on Experience

AI/ML Engineer

McLean, Virginia

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Today

Role: AI/ML Engineer Experience: 10+ Years Duration: 12 months Location: MC Lean , VA Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs Responsibilities: Design, develop, and deploy Machine Learning and AI solutions for business applications. Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.

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Third Party, Contract

$DOE