The MLOps Engineer is an entry-level role that supports the development and deployment of machine learning models. You will gain hands-on experience with Cl/CD pipelines, cloud services, and containerization, guided by seasoned MLOps Engineers.
Your tasks will include building automated workflows, integrate version control systems, and deploy models on platforms like Google Cloud Platform (GCP). You'll also manage cloud infrastructure and learn best practices in MLOps.
This role emphasizes both technical skills and soft skills like collaboration, communication, and problem-solving.
You will be proactive in learning and applying new knowledge, setting the foundation for advancement in your MLOps career.
Contributing to and building a shared ML production framework
Managing cloud infrastructure on GCP using IaC
Collaborating with teammates through technical discussions and code reviews
Leading the MLOps aspects of AI solutions with full responsibility for building, deploying and maintaining solutions.
Working with new product data scientists to move from POC through to production grade services
Researching and experimenting with new MLOps tools or LLM integrations.
Working with technical and non-technical stakeholder groups to support feature or platform capability
Assist in designing and implementing CI/CD pipelines for machine learning projects.
Support the deployment and monitoring of machine learning models on cloud platforms.
Help manage containerization and orchestration using Docker.
Participate in implementing monitoring and logging solutions for model performance.
Write and maintain clean, modular, and well-documented code.
Participate in code reviews and testing to ensure code quality.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.