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Build and run the core PaaS platform that powers European Earth-observation and climate research, using Kubernetes, GitOps, observability stacks and incident response.
Senior DevOps/MLOps Engineer builds and scales production-grade ML pipelines for large-scale medical image analysis, using Python, Docker, Kubernetes, and MLOps tools like MLflow.
Build and optimize scalable data pipelines, warehouses, and AI/ML integrations in Python and GCP for network investment analytics in a hybrid role.
Build and scale production-grade ML pipelines for medical image analysis, deploying models with Kubernetes and MLOps tools like MLflow while collaborating with data scientists and engineers.
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Build and scale AI/ML pipelines and GenAI systems for GE HealthCare, automating model deployment, monitoring, and lifecycle management across hybrid/multi-cloud (AWS, Azure).
Senior DevOps Engineer designs and automates cloud infrastructure and CI/CD pipelines using Terraform, AWS, Azure, and GitHub Actions to deploy containerized apps on Kubernetes.
Build and operate a sovereign European cloud platform from the ground up using Kubernetes, GitOps, and CNCF tools, supporting Earth observation and climate research.
Build and deploy large-scale ML systems to optimize ad delivery and revenue, collaborating with product and engineering teams in a remote-first environment.
Senior DevOps engineer building a sovereign European cloud platform using Kubernetes, GitOps, and open-source CNCF tools to support Earth observation and climate research.
Build and maintain AI/ML infrastructure and Kubernetes-based platforms for a global mobile-gaming company, enabling model training, deployment, and internal IT tooling at scale.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Build and own Flinks’ data and ML platform: pipelines, warehousing, model serving, and governance that power financial insights and payments for banks and fintechs across North America.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Build and own Flinks’ data and ML platform: BigQuery, dbt, Airflow, Pub/Sub, Kubeflow, Vertex AI, and FastAPI to turn models into production-grade services.
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