As an MLOps Intern at Digital Catapult, you will have an excellent opportunity to gain hands-on experience in Machine Learning Operations (MLOps) and to work alongside our passionate AI/ML Technologists and Data Scientists towards a grand mission of contributing to BridgeAI, a national level programme that aims at accelerating the AI innovation journey.

Your job will include developing reusable MLOps automated pipelines using open-source tools on cloud platforms that will help organisations to quickly operationalise their AI/ML models. You will need to be passionate about researching and learning various MLOps tools/ platforms to support the implementation.

This is a 4-Month Internship

WHAT YOU'LL DO (Duties)

Research on and familiarise yourself with MLOps tools and platforms available in the market
Work alongside our Data Scientists to develop reusable MLOps automated pipelines (using open source and commercial tools) for model training, testing, and deployment in cloud platforms
Contribute to implementing a scalable solution including monitoring, and alerting mechanisms
Contribute to documenting reusable MLOps processes and best practices via GitHub repository

Requirements

Currently pursuing a Master's (preferable) or Bachelor's degree in Computer Science, Engineering, Data Science or a related field
Strong understanding of Machine Learning concepts and frameworks (e.g., TensorFlow, PyTorch)
Proficiency in programming languages like Python, and experience using version control systems like Git
Basic knowledge of MLOps tools and platforms, DevOps or software engineering practices
Basic understanding of cloud platforms (e.g., AWS/Azure/GCP) and containerization technologies (e.g., Docker, Kubernetes)
Strong problem-solving skills, eagerness to research and learn new technologies and contribute to MLOps practices and tools
Excellent communication and writing skills

Deadline for Applications: 29th May 2024

Digital Catapult jobs

MLOps Intern