AI Platform Engineer at Liquid Intelligent Technologies

Role Description

• Design and develop features for Cassava’s AI platform to enable seamless AI model development and deployment. Integrate the platform with Cassava’s cloud infrastructure and NVIDIA H200 GPUs for high-performance computing capabilities. Implement tools and services for model training, experimentation, monitoring, and versioning to boost user productivity significantly. Ensure the platform remains scalable, secure, and compliant with industry standards and best practices consistently.
• Collaborate with AI engineers, data scientists, and customers to gather requirements and feedback for platform enhancements. Troubleshoot platform issues and provide technical support to users, ensuring a seamless and efficient experience. Stay abreast of emerging technologies and incorporate relevant advancements into the platform to maintain competitiveness. Document platform architecture, features, and usage guidelines to facilitate user adoption and provide robust support. Manage the assurance of Cloud platform through:- Ensuring a high-resolution efficiency for incidents- Maintain architecture deployment standards- Comply with all Process, Patch Management, Change Process, for any deployed and managed Cloud services
•  Produce reports to measure compliance to SLA and MTTR for customer managed cloud services and platforms- Conduct customer cloud readiness assessments and reports the outcome
• Deploy customer solutions based on best practices including migrations, cloud networking and new set-ups
• Document infrastructure designs, configurations, and operational procedures for knowledge sharing and regulatory compliance. Support in creating sales and marketing collateral and vertical Playbooks for AI cloud services and platforms aligned to solution sales. Training for sales, customer employees and product teams Support non-standard/complex solutions
• Cross functional engagements, Sales support, Service Desk, Products, Bid Office & engagement with Engineering capacity and sizing of solutions to allow for successful delivery. Assist with technology selection and vendor selection for product management/ideation and eco-system enablement.
• Work with third parties including vendor support, billing, and troubleshooting. Recruit, train and maintain 3rd party managed services and/or GI partners as needed to create scale in delivery. Leading the implementation and deployment team and providing technical insight and resolving technical dependencies and escalates where necessary. Maintaining the Platform services along agreed best practices and Service Level Agreements. Maintaining an up-to-date skillset that translates into secure, practical implementations and service delivery for projects

Requirements

• Bachelor’s degree in computer science, Engineering, or a related field is required; a Master’s degree is preferred.
• Relevant certifications in AI infrastructure management or similar fields.
• Certifications in cloud computing or software engineering, like AWS Certified Developer, enhance candidacy significantly.
• At least 2-3 years’ experience in platform engineering or software development, focusing on AI or cloud tech, is essential.
• Strong programming skills in languages like Python, Java, or Go, with experience building scalable applications.
• Experience with cloud-native technologies, microservices architecture, and API development is a critical requirement.
• Knowledge of AI/ML workflows, tools, and frameworks, such as TensorFlow or PyTorch, is fundamental to this role.
• All Appointments are subject to the Labour Legislation in the respective country.