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Senior MLOps Engineer with 7+ years of experience needed for an AI-powered construction software company. Responsibilities: Design, build, and maintain infrastructure for deploying, serving, and monitoring machine…
«Нанософт Разработка» , аккредитованная ИТ-компания, которая с 2008 года создает отечественную САПР-платформу nanoCAD. Наши решения помогают российским компаниям становиться импортонезависимыми в области САПР / BIM /…
At Orca AI, we build AI-powered vision systems that enhance safety and decision-making for some of the world’s largest vessels. Our platform processes live video streams from multiple onboard cameras to provide…
Зарплата: 1500–2000 USD (до вычета налогов) Responsibilities: — Design, build, and improve production NLP/LLM systems, including RAG, search, AI agents, document intelligence, and multilingual NLP. — Build retrieval…
Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, seeks an AI & Cloud Architect to define the strategy for an enterprise AI…
DevRev is seeking a software engineer to build and scale benchmarking infrastructure for their AI-native enterprise platform. You will work on instrumenting model-serving systems and developing telemetry pipelines to measure the performance and reasoning capabilities of AI agents.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by…
Build and operate ML/LLM platforms for a Korean neobank, focusing on stable, scalable, and secure model training, deployment, and serving using tools like MLflow, Kubeflow, Triton, and vLLM.
Builds and operates a machine-learning platform for a securities app, focusing on LLM serving, gateway systems, and MLOps tooling in Kubernetes.
Builds and deploys AI/ML systems for banking services like fraud detection, lending models, and LLM-based agents in a high-traffic, regulated environment.
Builds and operates scalable backend services for Toss’s offline payment platform using Java/Kotlin, Spring, Kafka, and Kubernetes.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
GPU Software Engineer (CUDA) – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
ML Platform Engineer builds and scales AI model pipelines, deploys ML services on Kubernetes, and maintains FastAPI-based inference APIs for a large insurer’s internal AI ecosystem.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
This role involves creating and maintaining developer-facing documentation for FuriosaAI's SDK and LLM software stack using a docs-as-code approach. The engineer will build automated validation pipelines to ensure documentation accuracy against live hardware and code releases.
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