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MLOps Engineer designing, deploying, and managing scalable machine learning pipelines in production with CI/CD, automation, and enterprise system integration.
Design, build, and maintain cloud infrastructure and CI/CD pipelines for AI-powered platforms using Kubernetes, Terraform, and AWS/GCP/Azure.
Lead AWS-based data platform engineering for credit risk models at Commonwealth Bank, focusing on cloud-native architecture, ML workloads via SageMaker, and large-scale data pipelines.
The Senior Staff GenAI Engineer will lead the architectural strategy and development of foundation models for YouTube ad creative optimization. This role involves building scalable data pipelines, evaluation frameworks, and model alignment processes to deploy high-performing generative AI solutions at scale.
Kulu is seeking a Senior AI Full Stack Engineer to build AI agents for software onboarding using React, Python, FastAPI, and various AI/ML technologies. The role involves designing production AI systems, integrating LLMs, and working with computer vision in a high-growth startup environment.
The Data Infrastructure & MLOps Engineer will design, build, and maintain scalable data pipelines and machine learning platforms to support Doodle's B2B SaaS products. The role focuses on automating infrastructure, ensuring system reliability, and enabling efficient model deployment using technologies like Python, SQL, and cloud-native tools.
The Embedded AI Software Engineer will design and deploy AI-enabled embedded systems for automotive and industrial environments, focusing on model optimization, heterogeneous chiplet integration, and safety-critical software development using C++, OpenVX, and OpenCL.
Design and deploy AI-enabled embedded systems on a multi-vendor AI chiplet platform, bridging hardware, AI accelerators, and software stacks in automotive/industrial environments using C++, OpenVX, OpenCL, and Vulkan.
The Embedded AI Software Engineer will design and deploy AI-enabled embedded systems for automotive and industrial environments, focusing on model optimization and hardware integration. The role involves working with C++, OpenVX, OpenCL, and various AI accelerator toolchains to bridge software stacks with heterogeneous chiplet platforms.
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
Staff Software Engineer on Google's Gen AI Blackbelt Team, acting as a Generative AI subject matter expert working with Product Development and Technical Sales to bring Google Cloud AI products to customers and partners, including designing architectures and building AI-powered applications.
AI DevOps Engineer designing, automating, and securing AWS cloud-native infrastructure while integrating AI-powered tools into CI/CD pipelines, observability, security, and infrastructure automation.
The DevOps Engineer will design and maintain scalable cloud infrastructure and CI/CD pipelines to support AI and Generative AI platforms. The role focuses on MLOps, container orchestration with Kubernetes, and infrastructure automation using Terraform.
Designs and deploys reinforcement learning models to personalize marketing campaigns for global brands using Python, TensorFlow, and SQL.
This role involves building and scaling a foundational platform for AI agents and workflows on Google Cloud using Python or C++. You will develop GenAI solutions, manage ML infrastructure, and collaborate on system design to support enterprise-grade AI applications.
In a few words Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Position: Data Engineer MLE Location: Madrid (Chamberí area).…
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
The Associate Director of Machine Learning will lead the development of generative AI and agentic systems to transform financial analysis at Fitch Ratings. This senior individual contributor role focuses on architecting production-grade AI platforms, establishing technical standards, and mentoring engineers within the company's new Toronto-based AI innovation hub.
Senior security architect advising a top Canadian bank on securing Azure Databricks, AI/ML pipelines, and cloud data platforms with networking, access controls, and governance.
The Senior Generative AI Engineer will design and deploy enterprise-grade AI solutions and intelligent agents using LLMs, RAG, and Azure cloud technologies. This role involves building scalable microservices and implementing MLOps practices within a professional enterprise environment.
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