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Lead a team to build and manage a centralized AI/ML platform for the DoD, overseeing model development, deployment, and MLOps to deliver secure, scalable AI-powered solutions.
Designs, deploys, and maintains AI/ML models and MLOps pipelines for federal agencies, using Python, TensorFlow/PyTorch, and cloud platforms like AWS/Azure/GCP.
Designs and maintains data infrastructure for federal government clients, building scalable pipelines and integrating ML models using Python, AWS, and tools like Apache Airflow and Spark.
Designs and operates Kubernetes platforms (EKS/GKE/AKS/OpenShift or on-prem) supporting production workloads for US federal clients, often in air-gapped or DoD-hardened environments. Builds CI/CD/GitOps pipelines, service mesh, observability (Prometheus/Grafana), and IaC with Terraform/Helm. Requires US citizenship and an active TS/SCI clearance.
AI Engineer at Amedia, one of the Nordics' largest media groups (111 newspapers), based in Oslo. You explore, build, deploy and operate AI/ML solutions — from classic ML to LLMs and agent-based systems — primarily in Python on Google Cloud Platform, including AI-driven dynamic access control for subscription products.
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
Designs and maintains CoreWeave’s Kubernetes-native orchestration platform (SUNK) to reliably schedule AI workloads across massive GPU clusters, improving throughput and resilience.
Designs and maintains CoreWeave’s Kubernetes-native AI orchestration platform (SUNK) to run large-scale GPU workloads reliably and efficiently, using Go and distributed systems expertise.
Contract, fully remote (offshore) role for an AI/ML Ops Engineer with 4–8 years' experience (3+ in MLOps). Day to day: build automated pipelines to train, deploy, and monitor ML and generative AI/LLM systems using Kubeflow, MLflow, SageMaker, Docker/Kubernetes, and LLMOps tooling; a cloud ML certification is mandatory.
AI Engineer in Hyderabad (onsite) with 5–6 years' IT experience who builds ML and LLM-powered solutions end to end: Python APIs, large-scale data/ETL pipelines, model training and deployment (TensorFlow, PyTorch, MLflow), and LLM tooling (LangChain, Hugging Face) on Azure/AWS/GCP with Databricks, PySpark, and Airflow.
ImagineSoftware is hiring a Machine Learning Operations Engineer (Charlotte, NC preferred) to define MLOps strategy and build reliable, scalable production ML environments supporting healthcare solutions. Day-to-day work centers on end-to-end ML pipelines on AWS (SageMaker, EKS, Lambda), CI/CD for ML workflows, and monitoring/governance of models in production.
Software Engineer II on Zoro's Data & ML Platform team builds and maintains scalable, self-service data tools, pipelines, and ML workflows that let teams across the company ingest, share, and use data. Core stack: Python, cloud platforms (GCP preferred), Docker/Kubernetes, and CI/CD; hybrid role based in Chicago.
As a Senior Machine Learning Platform Engineer (m/f/d), you will design and build the platform that turns large-scale UxV and sensor data into validated, reproducible machine learning models. You will own and improve…
Education and Work Experience Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.5+ years of experience in MLOps with at least 2 years working specifically…
Мы ищем талантливого и опытного MLOps, который сможет выстроить технически современную, удобную и прозрачную практику MLOps, оказывающую влияние на весь Сбербанк Страхование. Наша задача - развить MLOps практику в…
🎯 En forte croissance, nous recherchons un.e Lead Data Engineer pour concevoir et mettre en œuvre des architectures de données robustes et évolutives. Vous dirigerez notre équipe technique, optimiserez les systèmes de…
Position Summary Base-2 Solutions is seeking a Platform Engineer to design, develop, and optimize Kubernetes platforms supporting enterprise artificial intelligence capabilities for mission customers. The role requires…
Position Summary Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure…
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