Company Description

Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.

Role Overview:

Are you passionate about building robust, scalable infrastructure that powers machine learning at scale? Join our team as a Senior Software Engineer – ML Infrastructure and take part in developing high-performance systems that enable the training, deployment, and monitoring of cutting-edge ML models. From building datasets to supporting production workloads, your work will be critical to our AI capabilities.

Requirements:

• Design and build services and infrastructure for training and fine-tuning large neural networks
• Develop tools for managing datasets, ensuring quality, consistency, and reproducibility
• Implement scalable, automated deployment systems for complex ML models
• Drive the full software development lifecycle—from design and implementation to CI/CD and monitoring
• Collaborate closely with ML engineers, data scientists, and platform teams to align infrastructure with business goals
• Write clean, maintainable, and well-tested code to ensure long-term sustainability

Qualifications

• 5+ years of professional software development experience
• Strong Python backend development skills (Most Critical)
• Solid understanding of Linux systems and networking fundamentals
• Deep knowledge of object-oriented programming, design patterns, algorithms, and data structures
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Proficiency with containerization and orchestration technologies like Docker, Kubernetes, or OpenShift
• Familiarity with CI/CD tools such as GitLab and ArgoCD
• Experience monitoring production systems using metrics, logging, and alerting tools
• Bachelor’s degree in computer science, Engineering, or a related field