Senior MLOps Engineer - Reading

MLOps Engineer is required to collaborate with infra/DevOps/data/architecture teams; document designs, SLIs/SLOs, runbooks; present status and insights to technical and non-technical stakeholders. · We are looking for a pure MLOps Engineer with hands-on experience in Dataiku (Sag ...

+Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, · handoffs, · memory strategy (short/long-term), · & supervisor policies for safe collaboration.+Build high-quality · RAG: · implement ingestion, · chunking, · e ...

We are seeking an experienced MLOps engineer to design multi-agent architectures and implement ingestion, chunking, embeddings, indexing and retrieval with evaluation. The ideal candidate will have hands-on experience in Dataiku and cloud background for AI/ML workloads. · Design ...

Proude 24/7 production support for machine learning (ML) and data pipelines to maintain and troubleshoot ML models in production. · Provide L2 support for MLOps production environments ensuring uptime and reliability. · Troubleshoot ML pipelines data processing jobs and API issue ...

MLOps L2 Support Engineer (On-Call & Weekend Support) · Location- Reading , PA, Onsite · Required Skills & Experience: · Experience: 5+ years in MLOps, Data Engineering, or Production Support. · Dataiku DSS: Strong experience in Dataiku workflows, scenarios, plugins, and APIs. · ...

We are seeking an MLOps L2 Support Engineer with 5+ years of experience in MLOps, Data Engineering, or Production Support. · Strong experience in Dataiku workflows, scenarios, plugins, · and APIs. · ...

We are seeking an experienced MLOps L2 Support Engineer to join our team. The ideal candidate will have 5+ years of experience in MLOps, Data Engineering or Production Support. · Strong experience in Dataiku workflows, scenarios, plugins and APIs. · Familiarity with GitHub Action ...

MLOps L2 Support Engineer to provide production support for machine learning (ML) and data pipelines. · ...

Looking for a MLOps L2 Support Engineer to provide 24/7 production support for machine learning · Provide L2 support for MLOps production environments,Troubleshoot ML pipelines,Monitor logs, alerts, and performance metrics using Dataiku, · ...

We are seeking a ML Ops Engineer. The ideal candidate will have hands-on experience in Dataiku and knowledge of agent frameworks and evaluation frameworks. · , memory strategy (short/long-term), and supervisor policies for safe collaboration. · <li Productionize on AWS leveraging ...

Job summary · Looking for a pure MLOps Engineer with hands-on experience in Dataiku (Sage Mager is plus). · Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy (short/long-term), and super ...

We are looking for a pure MLOps Engineer with hands-on experience in Dataiku (Sage Maker is plus). The ideal candidate should have strong cloud background for AI/ML workloads; familiarity with Bedrock or equivalent LLM platforms. · The responsibilities include designing multi-age ...

Machine learning consultant with experience building agentic systems and RAG pipelines in production. Strong cloud background for AI/ML workloads and familiarity with Bedrock or equivalent LLM platforms. · ...

MLOps L2 support engineer to provide 24/7 production support for machine learning and data pipelines. The candidate will work with Dataiku, AWS, CI/CD pipelines and containerized deployments to maintain and troubleshoot ML models in production. · ...

This organization's AI platform is an industry-first system that leverages billions of data points, advanced machine learning models, and deep domain expertise to deliver real-time benchmarking, diagnostics, and performance insights.The platform processes 100B+ data points annual ...

We are looking for a pure MLOps Engineer with hands-on experience in Dataiku.Design multi-agent architectures: define agent roles, toolboxes, handoffs, memory strategy and supervisor policies for safe collaboration. · Build high-quality ingestion pipelines. · ...

Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy (short/long-term), and supervisor policies for safe collaboration.Build high-quality RAG: implement ingestion, chunking, embeddings, ind ...

A Machine Learning Consultant with experience building agentic systems and RAG pipelines in production is required. · Proven experience building agentic systems (single or multi-agent) and RAG pipelines in production. · Solid CI/CD and containerization skills (Git, Docker, Kubern ...

We are looking for a pure MLOps Engineer with hands-on experience in Dataiku (Sage Mager is plus). Design multi-agent architectures: define agent roles (planner, researcher, retriever, executor, reviewer), toolboxes, handoffs, memory strategy (short/long-term), and supervisor pol ...

This organization's AI platform is an industry-first system that leverages billions of data points, advanced machine learning models, and deep domain expertise to deliver real-time benchmarking, diagnostics, and performance insights. · Deploy and operationalize ML models with str ...