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About AIxBlock

AIxBlock is an end-to-end AI platform that integrates with decentralized supercomputers. At AIxBlock, we believe now is the time to take AI out of the hands of tech giants and make it accessible to everyone. By integrating end-to-end AI tools with decentralized supercomputers and leveraging every available source of unused resources, we make AI development low-cost, secure, low-code, and transparent.

Our mission also includes integrating blockchain technology into our platform. This integration aims to bolster security and privacy, while also enabling a Parallelism Approach to support distributed, parallel training.

Our DNA is a globally distributed company that allows you to work fully remotely with flexible working hours, we always work with folks from all walks of life with no borders.

Responsibilities:

• You will streamline and automate the machine learning lifecycle, including integration, testing, releasing, deployment, and infrastructure management, to ensure more efficient and effective deployment and maintenance of machine learning models in production environments. You will also collaborate with other peers to write tech documentation for the platform. Please note that we are not building specific models, but we build an end-to-end AI platform for AI engineers to build and deploy on it so your role is not to maintain any specific models.
• Design, implement, optimize, and test ML pipelines for different types of models on our platform. (As of now, our platform supports almost all types of AI/ML models)
• Maintain and optimize our Continuous Integration/Continuous Deployment (CI/CD) pipelines and manage Kubernetes deployments. 
• Infrastructure Management: Manage and optimize the infrastructure required for our users to run their machine-learning models on our platform
• Automation of Workflows: Design and implement Automate various stages of the machine learning lifecycle, from data collection to model training and deployment on our platform.
• Other tasks assigned by the Line Manager

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Requirements:

Must have:

• Bachelor's or Master’s degree in Computer Science or related field. 
• Middle-level candidates who have hands-on ML modeling experience, involving the entire process from conceptualizing ideas to developing, evaluating, and deploying models, with the added advantage of having expertise in monitoring and managing model performance after deployment.
• 2-3 years of experience with cloud providers such as AWS/ GCP/ AZURE/ Alibaba. 
• Strong expertise in designing efficient and well-architected microservices is crucial for this role. 
• Experience in building systems that serve many users requires low latency performance. 
• Ability to work independently and collaboratively in a team environment
• Good communication and time-management skills
• Ability to work remotely with discipline

Nice to have:

• Experience in a start-up company is a plus.
• A driven and hustle person