MLOps Engineer
Job Responsibilities
- Work with ML team to train models as well as Backend for deployment and productions
- Designing and implementing Machine Learning Environments that make the life of ML engineers and data scientists at our clients, but also internally, better
- Continuously building and deploying reproducible and scalable solutions on cloud infrastructure
- Implement versioning of machine learning datasets, models and tracking of experiments
- Design and build continuous integration of AI applications
Job Requirements
- 3-5 years of experience; may have fewer experience if they appreciate how deployment works in long run
- Preferably a 3-5 year plan at our company
- Hands-on ML and computer vision projects
- Knowledge on Ml model deployment and DevOps and ideas on new MLOps tools