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Pre-sales solution architect designs and deploys scalable AI infrastructure on Kubernetes for European enterprises using Mirantis k0rdent, guiding customers through hybrid and multi-cloud deployments.
Build and maintain scalable data pipelines and MLOps tooling to deploy, monitor, and version machine-learning models in AWS and GCP.
Build and deploy production-grade ML systems for personalization, search, and generative AI at Autodesk, using Python and frameworks like PyTorch or TensorFlow.
Build and maintain enterprise-scale back-end systems in C, Java, and SQL on Linux and Azure, mentor peers, and provide production support for distributed, event-driven microservices.
Build and deploy ML models, analyze messy enterprise data, and create self-service analytics tools using Python, SQL, and cloud platforms.
Build and orchestrate ML pipelines using Kubeflow, Google Cloud Dataflow, and Vertex AI for batch processing and prediction workflows.
Build and maintain scalable MLOps infrastructure for AI/ML services, including Kubernetes clusters, GPU optimization, and LLM inference platforms to support Money Forward’s fintech products.
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Senior Software Engineer builds and maintains a cloud-native data platform using Kubernetes, Spark, and Trino to power enterprise analytics and AI/ML at a large bank.
Lead the design and operation of a Kubernetes-based MLOps platform to deploy, serve, and scale AI/LLM workloads for data science teams.
Build and operate a Kubernetes-based platform to enable scalable AI/ML model deployment, serving, and MLOps workflows for data scientists and engineers.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
Build and maintain end-to-end MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to operationalize ML/AI models for production.
Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
Builds and optimizes AI/ML-powered mobile/web apps for Warner Bros. Discovery, focusing on personalized content, search, and dynamic recommendations using frameworks like TensorFlow/PyTorch, cloud platforms (AWS/GCP), and generative models (LLMs, transformers).
Lead the productionalization of AI/ML models and LLMOps pipelines, architecting scalable AI infrastructure and MLOps workflows to deploy enterprise-grade solutions in Python and cloud environments.
Designs and implements Snowflake-based data platforms and AI infrastructure, including warehouses, pipelines, and model-enablement patterns for production ML systems.
Senior ML Ops Engineer (Machine Learning Infrastructure) Location: Los Angeles, CA Department: Perception Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight…
Multiverse Computing Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software…
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