Lead the design and implementation of MLOps platform on Azure that encompasses full machine learning lifecycle
Research, evaluate, and drive decision making regarding platform architecture based on AI development requirements
Articulate to stakeholders key design decisions on architecture, workflow, security considerations
Establish standard practices on MLOps lifecycles, such as resource access control, standard development templates, workflow and pipeline integrations, data and model artifacts management, metrics monitoring, with compliance to corporate standards, regulations and policies
Strong implementation and problem-solving skills
Lead a team of ML engineers and DevOps engineers to prioritize requirements and schedule feature releases
Requirements
Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, or a related discipline
Minimum of 5 years of relevant experience in fields such as machine learning, data flow, DevOps, etc
Proficiency in designing cloud solutions specifically on the Azure platform
Experience with Azure Machine Learning, Azure Databricks, and Azure Data Lake Gen 2
Experience with Azure DevOps tools including Azure Repos, Azure Artifacts, and Azure Pipelines
Knowledge of Azure Kubernetes Service and Azure Monitoring
Advanced understanding of MLOps and DevOps design principles
Networking knowledge including subnet management, firewall configurations, Azure Virtual Network, and certificate management
Proficiency in Linux, Python, and Bash scripting
Fluent English communication skills at a B2+ level
Nice to have
Insurance knowledge and cloud related certificates
Software Engineer - Full Stack
Responsibilities
Design, develop and test new features in the applications
Debug and maintain written code
Report and resolve issues related to the projects
Identify and handle technical risks and issues
Report on project status to senior team members
Communicate regularly with others involved in the development process
Participate as a team member in fully Agile Scrum deliveries
Requirements
Good knowledge of C#/.NET fundamentals
Good knowledge of web development fundamentals, preferably experience with a .NET web framework such as ASP.NET or ASP.NET Core
Good knowledge of frontend fundamentals, including HTML, JS, CSS
Good knowledge of Angular 9+ ecosystem and unit testing
Nice to have
Experience with cloud and distributed applications
Experience with NoSQL databases (e.g. MongoDB, etc.) and message brokers (e.g. RabbitMQ, etc.)
Good knowledge of design patterns and principles, OO, functional programming, reactive programming