Fully remote opportunity!
As a Machine Learning Platform Engineer , you will work with our client on building and enhancing a cutting-edge Analytical Platform using Azure Databricks. Your role will focus on designing scalable, secure, and cost-efficient infrastructure to support Data Science teams in developing, deploying, and monitoring machine learning models. You will be key in implementing best practices for MLOps, optimizing cloud resources, and ensuring smooth integration of ML solutions with business systems.
We offer you :
ITDS Business Consultants is involved in many various, innovative and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people. The offer includes :
You're ideal for this role if you have :
Nice to have :
Fully remote opportunity!
As a Machine Learning Platform Engineer , you will work with our client on building and enhancing a cutting-edge Analytical Platform using Azure Databricks. Your role will focus on designing scalable, secure, and cost-efficient infrastructure to support Data Science teams in developing, deploying, and monitoring machine learning models. You will be key in implementing best practices for MLOps, optimizing cloud resources, and ensuring smooth integration of ML solutions with business systems.
We offer you :
ITDS Business Consultants is involved in many various, innovative and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people. The offer includes :
Design, build, and maintain a secure, scalable ML platform on Azure Databricks , Develop and manage CI / CD pipelines for ML workflows to enable continuous integration and deployment , Implement real-time monitoring, anomaly detection, and version control for ML models , Collaborate closely with Data Science teams to automate ML pipelines, enforce best practices, and support production deployments , Optimize cloud infrastructure for performance and cost-efficiency , Troubleshoot pipeline issues and manage incidents effectively , Integrate ML solutions with enterprise systems and BPMN workflows in partnership with corporate architects , Define and enforce standards and best practices for platform usage and security compliance ] Requirements : Machine learning, Azure Databricks, MLOps, Cloud, Azure, Databricks, Continuous integration, Python, SQL, Docker, Kubernetes, REST API, CI / CD Pipelines, Terraform, R, Azure DevOps, Infrastructure as Code, AI, Prometheus, Grafana, Enterprise Architect, TOGAF Additionally : Sport Subscription, International environment, Remote work, Long-term cooperation, Flexible working hours, Pluralsight.
Machine Learning Engineer • Remote, Poland