Junior MLOps Engineer helping to design and maintain AI/ML systems at Bupa. Collaborating with teams to operationalize machine learning models and automate workflows.
Responsibilities
Design, implement and maintain MLOps pipelines for deploying AI/ML models using Azure Machine Learning.
Build and automate CI/CD workflows for AI systems using Azure DevOps, Azure CLI, and Git-based workflows.
Collaborate with data scientists to productionize models, optimize inference performance, and streamline deployment workflows.
Implement monitoring solutions for AI systems, including performance tracking, drift indicators, logging, and alerting.
Contribute to model lifecycle management: versioning, packaging, registry updates, staging-to-production promotion and rollback.
Optimize compute, storage, and infrastructure usage for cost efficiency and reliability.
Deploy and maintain containerized applications (e.g., Flask or FastAPI services) that serve ML models.
Troubleshoot operational issues in dev/test/prod environments and support root-cause analysis.
Document architecture, workflows, and operational guidelines for broader engineering teams
Requirements
2–3 years of experience in MLOps, DevOps, Data Engineering, or related cloud engineering roles.
Hands‑on experience with Azure Machine Learning (workspaces, endpoints, model registry, compute clusters).
Solid experience building CI/CD pipelines (Azure DevOps, YAML pipelines, Azure CLI, or similar tooling).
Proficiency in Python and experience using Azure SDKs for AI/ML workflows.
Practical understanding of containerization (Docker) and orchestration concepts.
DevOps Engineer for designing and maintaining Azure - based hybrid cloud infrastructure for a company specializing in nature - based smart city solutions. Leading cloud architecture and mentoring engineers as part of a high - impact team.
SRE responsible for ensuring reliability and performance of IT systems at a digital transformation company specializing in public sector efficiency. Collaborating on system health, incident response, and automation tasks.
DevOps Senior role at Beyond Soluções managing CI/CD for .NET and Kubernetes applications. Collaborating on cloud solutions while fostering a culture of innovation and quality.
Senior Software Engineer at PayPal managing cloud infrastructure and DevOps solutions. Delivering complete SDLC solutions and guiding engineering teams for scalable and reliable services.
Senior Site Reliability Engineer at Diligent leading reliability, automation, and observability across cloud infrastructure. Build tools for incident response and enhance performance in fast - paced environments.
Perception Deployment Engineer deploying deep learning models on embedded systems at Caterpillar. Collaborating with cross - functional teams for integration and optimization of perception modules in vehicles.
Principal Site Reliability Engineer at AT&T required to design scalable solutions for critical operations with minimal downtime. Collaborating with teams to monitor and improve system performance in cloud environments.
DevOps Engineer managing AI SaaS infrastructure at a high - growth European company. Supporting AI model deployment and ensuring platform security and compliance with multiple systems integration.
Engineering Manager leading teams for observability platforms at LexisNexis. Owns operational excellence across software delivery lifecycle in Raleigh, NC.
Reliability Engineer optimizing site facility infrastructure and utility systems at Roche. Conducting root cause analyses and developing maintenance plans to enhance reliability and efficiency.