Freelance MLOps Engineer

Fully Remote- *MUST BE EU BASED*

Start Date ASAP

Role Overview

Work within a team of Machine Learning, Data, and MLOps Engineers and be responsible for the deployment and monitoring of Machine Learning models, with a strong focus on generative AI and LLM-based agents.

· Working under the guidance of the Lead AI Engineer, this role is primarily hands-on.

As a MLOps Engineer, you will focus on the following areas:

· ML/LLM Pipelines: deploy and maintain efficient and error free ML model pipelines

· ML/LLM CI/CD: establish and optimise continuous integration and continuous deployment for training, testing, and deployment of models

· ML/LLM Model Monitoring: monitor models in production to minimise decay and maximise availability

· ML/LLM Model Versioning: manage multiple versions of models, being able to roll them back, if necessary

· API Endpoints: establish, maintain, and deploy API endpoints, ensuring that engineers can interact with them in a secure and efficient way

As a MLOps Engineer, we’d look for you to be able to bring:

· Experience: Minimum of 4 years in artificial intelligence, DevOps, or Machine Learning related positions

· Communication Skills: High proficiency in English (both written and oral).

· Problem-Solving Skills: Strong capability in identifying issues and formulating effective solutions.

· Certifications: Google Cloud or AWS MLOps related certifications are highly desirable

As an accomplished AI professional, you would have had significant exposure to the following technologies:

· Machine Learning: Google Vertex AI, TensorFlow, PyTorch, scikit-learn, etc

· Ops:

· Google Cloud’s MLOps

· GCP Cloud Build

· LLMOps