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Expert développeur DevOps/MLOPS
Build and maintain MLOps pipelines and cloud infrastructure to deploy AI models end-to-end, using Python, Docker, Kubernetes, Azure ML, and CI/CD.
Data Science Lead, MLOps & Advanced Analytics
Lead the design and deployment of production-grade ML/AI systems using Azure ML, Databricks, and PySpark, ensuring scalable, reproducible, and monitored models in a CI/CD/CT pipeline.
Senior Data Scientist
Senior Data Scientist builds and deploys ML models, cleans messy enterprise data, and translates insights into business impact using Python, SQL, and cloud tools.
Lead Fullstack AI/ML Consultant
Leads end-to-end delivery of enterprise AI/ML systems, including chatbots, agent-based workflows, and cloud-native platforms, using Python, cloud services, and MLOps practices.
Lead Fullstack AI/ML Engineer
Lead a team building enterprise AI/ML systems, from architecture to deployment, including chatbots, agent workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
Principal Fullstack AI/ML Consultant
Principal Fullstack AI/ML Consultant designs, builds, and deploys enterprise-grade AI systems including chatbots, agent-based workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
GDT Assistant Media Manager(MLOps/DevOps Engineer)
Build and maintain CI/CD pipelines, containerize applications, and optimize cloud infrastructure to deploy and monitor multi-agent media tools using MLOps/DevOps practices.
NTT DATA Deutschland SE: Senior AI & GenAI Architect (w/m/x)
Wir sind Teil von NTT DATA, einem führenden Anbieter von Unternehmens- und Technologiedienstleistungen, KI und digitaler Infrastruktur mit einem Umsatz von über 30 Mrd. $. Als Global Top Employer betreut NTT DATA 75 %…
Data & ML Engineer - Newcastle
Build and deploy scalable data pipelines and ML models using Python, Spark, and cloud tools; integrate diverse data sources and ensure production-grade MLOps and governance.
Infrastructure / DevOps Lead
Lead a team managing GPU clusters and multi-cloud infrastructure for training and deploying generative AI models, including digital humans and voice synthesis, using Kubernetes, Terraform, and GCP.
Data Scientist - Lewis Katz School of Medicine
Build and deploy ML pipelines for ALS research, fine-tuning models on clinical and genomic data while mentoring colleagues in a hybrid academic setting.
Expert développeur DevOps/MLOPS
Build and maintain MLOps pipelines and cloud infrastructure to deploy AI models, focusing on automation, CI/CD, and best practices for scalable ML systems in Azure.
Big Data Architect
Design end-to-end big-data architectures (Data Lakehouse, Data Mesh) and scalable ETL/ELT pipelines using Spark, Delta Lake, Iceberg, and cloud platforms (AWS/Azure/GCP).
Machine Learning Operations (ML - DevOps)
Build and automate ML pipelines, deploy models to production, and manage cloud infrastructure using DevOps tools like Docker, Kubernetes, and CI/CD.
DevOps Engineer (AI Infrastructure)
Build and maintain CI/CD pipelines, cloud infrastructure, and containerized environments to support AI/ML workflows and digital marketing products.
GCP Data & ML Pipelines Architect
Designs and runs scalable data pipelines on GCP using Dataflow, Apache Beam, and Kubeflow Pipelines, and implements MLOps for ML lifecycle management.
AI/ML Engineer
Build and deploy generative AI models using LLMs, RAG, and vector databases. Engineer AI agents with PyTorch/TensorFlow and Azure AI, and implement MLOps pipelines.
DevOps Engineer – Vancouver (Remote) *Hold*
Build and maintain CI/CD pipelines and ML infrastructure for a team shipping AI-powered edge and semiconductor solutions using Python, Kubernetes, and cloud platforms.