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UFORCE exists to make aggression unaffordable. Founded in Ukraine and headquartered in London, UFORCE is a defence-technology company with operations across Europe, the United States and Asia. UFORCE builds uncrewed…
This role involves building and owning the MLOps and observability stack for a new European cloud platform, focusing on Kubernetes-based services like Kubeflow and Airflow. The engineer will design scalable infrastructure, develop APIs, and maintain production reliability using Go and Python.
The Senior Software Engineer will build and maintain MLOps and observability services for a new European cloud platform based on Kubernetes and open-source technologies. The role involves end-to-end ownership of tools like Kubeflow, Airflow, and monitoring stacks, utilizing Go and Python to design scalable cloud infrastructure.
Мы формируем ядро команды, которая создает с нуля экосистему интеллектуальных агентов для автоматизации бизнес-процессов. Нам нужен универсальный специалист, способный вести фичи от проектирования базы данных до…
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Senior Data Scientist building an intelligent agents ecosystem from scratch at Sberbank, working across ML architecture, LLM/Vision specialization, enterprise RAG systems, and MLOps to deliver turnkey automation solutions for bank employees.
An MLOps Engineer leads technical initiatives, designs scalable ML systems, and mentors teams to implement end-to-end ML workflows using AWS/Azure, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Location: Bethesda, MD Category: Systems Engineering Travel Required: No Remote Type: No Clearance: TS/SCI Sunayu, LLC is looking for a highly skilled Systems Engineer with deep expertise in operating systems,…
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
The AI Engineer will design, develop, and deploy AI-powered solutions, focusing on Generative AI, LLMs, and MLOps. The role involves building scalable applications using Python and integrating them into enterprise systems via APIs.
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re…
The Senior Consultant will design and implement enterprise AI/ML solutions on the Red Hat OpenShift platform for key accounts in the ASEAN region. The role involves leading technical workshops, mentoring teams, and architecting agentic AI and MLOps workflows.
We are looking for an engineer to play a key role in providing technical, engineering support to Meta’s Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global…
The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions, including Generative AI and LLM-based applications. The role involves building MLOps pipelines, integrating AI into enterprise systems, and collaborating with cross-functional teams to drive business value.
Build and maintain scalable MLOps platforms and pipelines supporting drug discovery at Amgen, using Python, AWS/Databricks, and AI/ML frameworks to productionize models from classical ML to LLMs.
Builds and maintains the ML infrastructure platform for Nuro’s autonomous vehicle AI, focusing on GPU/CPU resource provisioning, workload orchestration, and petabyte-scale data pipelines to accelerate model development from experimentation to production.
Build and scale the ML infrastructure platform that provides compute and data resources for autonomous vehicle development, using IaC, workload orchestrators (Kubernetes, Ray), and distributed data processing frameworks.
Senior Data Scientist at an AI services firm, working across the full data lifecycle—cleaning, analyzing, and building ML models using Python, SQL, Databricks, and cloud platforms (Azure/AWS), with regular client-facing onsite work in DFW.
Lead AI/ML Engineer defining architecture and strategy for enterprise AI/ML pipelines, mentoring teams, and integrating LLMs and Generative AI into production using Python, cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and MLOps tooling.
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