Join iOCO as a Machine Learning & AI Developer and work on cutting-edge AI solutions. You'll be responsible for implementing MLOps practices to ensure the smooth deployment and management of machine learning models.
Innovative and tech-focused environment
At iOCO, the Machine Learning & AI Developer plays a crucial role in building scalable AI and machine learning solutions. The team focuses on implementing MLOps best practices to ensure that machine learning models are effectively deployed and managed throughout their lifecycle. This includes tasks such as monitoring model performance, versioning, testing, and retraining to maintain accuracy and reliability.
In this role, you will work with modern cloud-based data and AI platforms, which allows for flexibility and scalability in your projects. You will be expected to implement and manage MLOps practices, utilizing tools like MLflow and Kubeflow to streamline processes. Your day-to-day responsibilities will involve collaborating with other developers and data scientists to create robust AI solutions that meet the needs of clients.
The ideal candidate for this position should have a solid understanding of machine learning principles and experience with MLOps frameworks. You should be comfortable working in a fast-paced environment and be able to adapt to new technologies as they emerge. This role is suited for individuals who are passionate about AI and eager to contribute to innovative projects that push the boundaries of technology.
Key requirements include experience in building scalable AI solutions and a strong grasp of MLOps practices. Familiarity with cloud-based platforms and tools like MLflow or Kubeflow will be advantageous. If you are looking to make a significant impact in the field of AI and machine learning, this position at iOCO could be the perfect fit.
You'll be taken to the original listing on PNet to apply.