MLOps Engineer

About:

We are seeking a skilled MLOps Engineer to join our dynamic team. As an MLOps Engineer, you will play a crucial role in bridging the gap between machine learning development and production deployment. You will collaborate with data scientists, software engineers, and other stakeholders to ensure the smooth integration, monitoring, and maintenance of machine learning models in our production environment.

Responsibilities:

- Develop and maintain CI/CD pipelines for machine learning models

- Automate the process of model training, validation, and deployment

- Implement version control and tracking for machine learning models and datasets

- Monitor and optimise the performance of deployed models

- Collaborate with data scientists to ensure seamless integration of models into production

- Develop and maintain scalable infrastructure for model serving and inference

- Implement security best practices and ensure data privacy and compliance

- Troubleshoot and resolve issues related to model deployment and performance

- Stay up-to-date with the latest trends and technologies in MLOps

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field

- 0-2 years of experience in software engineering or DevOps roles

- Strong understanding of machine learning concepts and workflows

- Proficiency in programming languages such as Python, Java, or Node.js

- Experience with containerisation technologies like Docker and Kubernetes

- Familiarity with cloud platforms such as AWS, GCP, or Azure

- Knowledge of data pipelines, data storage, and data processing frameworks

- Experience with version control systems like Git

- Excellent problem-solving and debugging skills

- Strong communication and collaboration abilities

If you are passionate about leveraging your MLOps expertise to drive the successful deployment and management of machine learning models in production, we would love to hear from you. Join our team and contribute to the development of cutting-edge AI solutions that make a real impact.