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Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Build and maintain open-source data, AI/ML, and analytics platforms using Python, Kubernetes, and tools like Kubeflow and MLFlow, deployed across clouds and on-prem.
Build and maintain scalable data pipelines on Google Cloud using BigQuery, Cloud Storage, and Kubeflow, while automating infrastructure with Terraform, Kubernetes, and CI/CD tools.
Build and maintain sovereign, self-hosted AI infrastructure on Italian national clouds, deploying Kubernetes clusters and MLOps toolchains while ensuring GDPR/AGID compliance.
Contract DevOps Engineer builds and maintains AWS-based CI/CD pipelines, Kubernetes clusters, and observability for a global SaaS platform using ArgoCD, GitHub Actions, and Splunk.
Build and run the cloud platform that powers the company’s AI services on AWS and Kubernetes, automating deployments with Terraform and CI/CD while supporting MLOps workflows like SageMaker, MLflow, Airflow and Kubeflow.
Build and deploy enterprise AI services using Python, Flask/FastAPI, and cloud-native tools to power UKG’s next-gen AI platform.
Build and maintain the ML platform that powers Prima’s motor-insurance pricing and claims systems using Python, cloud tools, and CI/CD pipelines.
Build and maintain scalable ML pipelines on Azure, automating training, deployment, and monitoring with DevOps practices and Kubernetes.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Build and maintain CI/CD pipelines and Kubernetes-based infrastructure to automate training and deployment of AI/ML models, using Docker, Terraform, Ansible, Jenkins, and monitoring tools like Prometheus and Grafana.
Build enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in banking and consumer sectors.
Research and build AI/ML models to detect and evaluate security incidents from behavioral data, applying modern architectures like transformers to cybersecurity challenges.
Build and deploy AI/ML pipelines on GCP and Azure, operationalizing models into scalable IT solutions using Python, SQL, Kubeflow, and BigQuery.
Build and deploy ML models to detect debit fraud in real time, using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and…
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and…
Build ML models to assess credit risk for Affirm’s buy-now-pay-later platform, focusing on underwriting accuracy and fairness.
Build and deploy data products for ag-tech e-commerce and supply chain using Python, SQL, Kubeflow, and Google Cloud, specializing in recommenders, search, or operations.
La data et le Machine Learning sont aujourd’hui au cœur des stratégies de transformation des entreprises. Nous les mobilisons comme de véritables accélérateurs de performance, en industrialisant les cas d’usage IA de…
