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This Senior Staff Software Engineer role leads the architectural strategy for AI developer tools and cloud infrastructure at Google. The position involves designing distributed systems, agent communication protocols, and sandboxed runtimes to support large-scale AI development.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Grow with us About this opportunity: Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1’s working on EAD for this position.…
Build and maintain scalable data pipelines for computer vision workloads, processing images, videos, and metadata using ETL tools, NiFi, Prefect, and OpenCV.
Build and deploy AI-driven supply-chain risk analytics for government and defense customers, integrating data pipelines, models, and dashboards into Exiger’s platform.
The Senior Forward Deployed Engineer works directly with government and defense clients to design, deploy, and maintain AI-driven supply chain risk solutions. This role involves building scalable data pipelines, operationalizing machine learning models, and integrating analytics into the company's SaaS platform.
Build and prototype AI solutions using RAG, LLMs, and modern data infrastructure in a fast-paced R&D environment focused on national security challenges.
Tensorix is seeking a Full Stack Engineer to build and maintain their AI infrastructure platform using TypeScript, React, Next.js, Node.js, and PostgreSQL. The role involves end-to-end feature development, including dashboard interfaces, API services, and payment integrations in a hybrid Dublin-based environment.
The Account Structure Intelligence team at Google builds LLM-powered extraction engines to transform unstructured web content into structured data for advertising. Engineers in this role manage end-to-end ML workflows, including model training, fine-tuning, and production pipeline development.
Cloud-Native Solutions Architect designing and leading cloud-native application architectures, driving modernization to microservices/serverless, and integrating AI/LLM capabilities for a Belgian digital consultancy's client projects.
The AI DevOps Engineer will design, build, and maintain the cloud and hybrid infrastructure required to support enterprise AI agents and model workloads. This role focuses on implementing MLOps, CI/CD pipelines, and secure integrations across Atkore's manufacturing and business platforms.
Workload — tbd Duration — 10 months Location — Poland Banking and Finance Job Details Technical Requirements: 10+ years of professional experience across Data Engineering, Data Architecture, Analytics, Artificial…
Builds and deploys generative AI solutions using large language models, focusing on prompt engineering, model optimization, and seamless integration with real-world systems.
A Junior Data Scientist at Samba TV builds and deploys end-to-end ML/AI solutions for identity and audience modeling, focusing on real-time consumer attention data. Core work includes designing models, optimizing pipelines, and collaborating cross-functionally to deliver production-ready tools using Python, PySpark, and modern AI techniques.
Koniag Emerging Technologies (KET), a Koniag Government Services (KGS) company is seeking an exceptionally qualified Cyber Operations Program Manager to support the Chief Digital and Artificial Intelligence Office…
Builds AI-powered full-stack applications by integrating ML models into scalable cloud-based systems, bridging frontend, backend, and DevOps workflows.
Build AI-driven security systems—threat detection, risk quantification, autonomous workflows—using Go or Java, LLMs, and cloud-native infrastructure on an internal AI platform for a cloud security company.
The application window is expected to close on: 09/10/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Members of the Legal organization at…
The Senior AI/ML Engineer will work within an MLOps team to deploy, monitor, and optimize machine learning models in production environments. The role involves building CI/CD pipelines and collaborating with data scientists using cloud platforms like AWS, GCP, or Azure.
Senior AI/ML Engineer on an MLOps team, deploying and monitoring machine learning models in production on cloud platforms using Python, CI/CD pipelines, and ML frameworks like TensorFlow and PyTorch.
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