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