Machine Learning Operations Engineer Opportunity
Our organisation is seeking a highly skilled and experienced Machine Learning Operations (MLOps) Engineer to drive AI initiatives and enhance customer service. As an MLOps Engineer, you will play a key role in designing, developing, and optimising MLOps pipelines to support the full lifecycle of ML/AI models.
Key Responsibilities:
* Design and develop scalable, secure, and cost-effective cloud infrastructure for ML/AI solutions using Infrastructure as Code, ensuring systems meet functionality, performance, and reliability requirements.
* Build and maintain robust logging, monitoring, and alerting solutions for ML/AI models in production, troubleshooting model and infrastructure issues as they arise.
* Collaborate with cross-functional teams to understand business requirements and seamlessly integrate ML/AI models into production applications and workflows.
* Ensure compliance with security and data privacy standards across all MLOps activities, proactively addressing vulnerabilities and operational risks.
Requirements:
* Minimum 3+ years of experience as a MLOPs or DevOps Engineer.
* Extensive experience in deploying ML/AI solutions on private and public cloud platforms, with a focus on AWS services.
* Strong programming skills in Python and SQL.
* Experience in Infrastructure as Code (Terraform or AWS CDK), containerisation, Kubernetes, along with API development tools and frameworks such as REST and Fast API.
About Us
We value our people and are committed to supporting their professional development and providing generous employee benefits.