AI Cloud Solution Architect, Engineer

October 11

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Logo of Neurons Lab

Neurons Lab

Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.

51 - 200 employees

đź’° Corporate Round on 2022-10

đź“‹ Description

• Deliver end-to-end AI cloud solutions by combining architectural excellence with hands-on engineering capabilities • Gather requirements, design cloud architectures, calculate ROI, and create technical proposals for AI/ML solutions • Build production-grade infrastructure using IaC, develop APIs and prototypes, implement CI/CD pipelines, and manage AI workload operations • Transform business requirements into working solutions that are secure, scalable, cost-effective, and aligned with AWS best practices • Create reusable artifacts, comprehensive documentation, and architectural patterns that accelerate future project delivery • Document architecture and implementation details weekly for knowledge sharing • Ensure all solutions pass AWS Well-Architected Review standards • Create simplified UIs/demos for PoC validation and client presentations • Implement cloud security best practices: IAM, VPC design, encryption, secrets management • Conduct security reviews and implement remediation strategies

🎯 Requirements

• 5+ years in cloud engineering, DevOps, or solution architecture roles • 3+ years hands-on experience with AWS services and architecture • 2+ years working with AI/ML workloads on cloud platforms • Hands-on experience deploying and managing ML models in production • Experience with GPU-based compute for training or inference • Understanding of AI/ML infrastructure challenges and optimization techniques • 3+ years building infrastructure using IaC tools (AWS CDK, Terraform, CloudFormation) • Experience creating reusable IaC modules and components • 4+ years programming experience in Python (required) • Experience building APIs with FastAPI, Flask, or similar frameworks • History of creating prototypes, MVPs, or PoC applications • Comfortable with full-stack development for demos and prototypes • 3+ years implementing CI/CD pipelines and deployment automation • Experience with containerization (Docker) and orchestration (Kubernetes/ECS) • Linux/UNIX system administration experience • Experience gathering requirements and translating them into technical solutions • History of presenting technical architectures to clients and stakeholders

🏖️ Benefits

• Duration: Part-time long-term engagement with project-based allocations • Reporting: Direct report to Head of Cloud

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