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Senior AI/RAG Software Engineer (Software Engineer Level 3 – SWE3) Wyetech is seeking an experienced Senior AI/RAG Software Engineer (SWE3) to design, develop, deploy, and support Retrieval-Augmented Generation (RAG)…
Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. О команде и…
Build and maintain ML platform components for a B2B e-commerce SaaS, including training pipelines, inference services, and observability, using Python, PySpark, Kubernetes, and Azure.
Own the roadmap for WEKA’s Augmented Memory Grid, optimizing LLM inference performance by offloading KV-cache and integrating with engines like vLLM and NVIDIA Triton.
Designs, builds, and deploys multi-agent AI systems, RAG pipelines, and low-latency LLM inference services for BEES, AB InBev's B2B commerce platform. Daily work spans Python (plus C++/Go), LangChain/LangGraph, Azure AI Foundry, vector databases, Kubernetes model serving, and AI security practices.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Principal-level engineer owning Zoox's end-to-end strategy for running AI onboard its robotaxi: architecting GPU scheduling, multi-tenancy, isolation, and deterministic latency, cutting per-vehicle compute, guiding GPU/SoC hardware choices, and leading inference performance (CUDA, TensorRT) across ML, autonomy, and hardware teams.
LiveX AI · AI Engineer (Machine Learning Engineer) Palo Alto, CA · Full-time, on-site · Department: Engineering Source: (posted May 27, 2026) About the Role LiveX AI is building realtime, interactive AI avatars:…
Builds and runs the cloud infrastructure behind AI/ML workloads for data science teams: GCP (Vertex AI, BigQuery, GKE), Docker/Kubernetes environments, Terraform IaC, MLOps and CI/CD pipelines, plus monitoring, governance and cost optimization. Permanent, hybrid role in Italy with RAL €50-65k.
Builds and optimizes high-performance AI inference systems in C++ to serve millions of users with low latency and high reliability, using GPU engines like vLLM and Triton.
Хотите стать частью увлекательного процесса цифровой трансформации? Блок IT в СОГАЗ активно развивается и меняет подход к созданию продуктов. Мы создаем новые сервисы и решения, которые делают нашу работу более…
Applied Scientist building production Generative AI features across Cloud and Edge: optimizing local inference via model compression/quantization and engineering scalable RAG and multi-agent systems. Day to day covers hypothesis-driven research, synthetic data generation, SFT/RLHF/DPO fine-tuning, evaluation and technical reporting, largely in Python/PyTorch/Hugging Face.
Мы ищем Middle Data Scientist для работы в команде маркетинга, где вы будете участвовать в создании и поддержке аналитических решений, направленных на повышение эффективности маркетинговых кампаний. Основная задача —…
Role Summary The AI/Solution Architect will be the design authority for AI services built by in-house teams and empanelled agencies, defining the reference architecture and ensuring that components built once are…
Salary: $4,500 – $6,000 per month Job Highlights Multiple Openings – Opportunities in Vessel IT Infrastructure (Remote Support) and Corporate IT Support (Onsite & Remote). Attractive Remuneration Package –…
MLOps engineer on SOGAZ's internal AI center team building a product ML platform with generative AI assistants and classic ML models. Day to day: designing AI system architecture, running GPU clusters and schedulers, CI/CD for models via GitLab CI, deploying and optimizing LLM/inference servers, and monitoring production models. Full office role in Moscow.
Job Description: Senior GCP DevOps & LLMOps Engineer Title: Senior DevOps / Platform Engineer (GCP & LLMOps) Role Summary We are looking for an experienced Senior GCP DevOps & LLMOps Engineer to architect,…
Role Summary The MLOps Engineer will build and run components of the organisation's AI platform under the MLOps Lead: model-serving deployments on GPUs, AI gateway configuration, CI/CD pipelines with evaluation…
ML Ops Engineer Location: US: South San Francisco Time Type: Full time Job Description At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people…
Role Summary The MLOps Lead will build and run the organisation's AI platform, the internal developer platform on which AI teams build, deploy and publish services. The platform serves open-weight models on IndiaAI…
