Join iOCO as a Machine Learning & AI Developer and work on cutting-edge AI solutions. You'll implement MLOps practices to ensure efficient model deployment and management.
Innovative and tech-focused
At iOCO, the Machine Learning & AI Developer plays a crucial role in building and managing scalable AI and machine learning solutions. The team is dedicated to leveraging modern cloud-based platforms to enhance data processing and AI capabilities. You will be responsible for implementing MLOps practices, which include model deployment, monitoring, versioning, testing, and retraining to ensure that the AI models perform optimally over time.
In your day-to-day work, you will collaborate with other developers and data scientists to create robust machine learning pipelines. You will also be expected to manage the lifecycle of machine learning models, ensuring they are updated and maintained according to best practices. This role is ideal for someone who is passionate about AI and has a strong understanding of MLOps frameworks.
Key responsibilities include: • Implementing MLOps practices and frameworks • Managing model deployment and monitoring • Ensuring efficient versioning and testing of models
To succeed in this role, you should have experience with building scalable AI solutions and be familiar with cloud-based data platforms. Knowledge of tools like MLflow or Kubeflow will be beneficial. If you are looking to work in an innovative and tech-focused environment, this position at iOCO could be a great fit.
You'll be taken to the original listing on PNet to apply.