AI / ML Systems Engineer

Get IT Together specializes in providing highly qualified IT experts in project management, architecture, business and system analysis, and software development. The client project involves building a technological backend for solutions using machine learning and anomaly analysis in network environments.

• Experience building and configuring Kubernetes clusters with NVIDIA k8s-device-plugin or NVIDIA GPU Operator for NVIDIA A100 or L40S GPUs
• Experience managing cloud infrastructure and defining and maintaining infrastructure as code (IaC) using Terraform, Terragrunt, and Ansible
• Practical knowledge of Object Storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage)
• Experience working with highly distributed (MPP) software, especially OpenMPI
• Experience with SQL and NoSQL database systems, particularly PostgreSQL, MongoDB, Redis, and ClickHouse
• English language proficiency at minimum B2 level

Nice to have:

• Experience in research and development (R&D) projects
• Experience designing, publishing, and maintaining mobile applications for iOS and Android platforms, including using cross-platform frameworks (e.g., Expo)
• Experience designing and implementing machine learning models using TensorFlow or PyTorch
• Practical knowledge of Explainable AI (XAI) methods, including model interpretation techniques such as SHAP

• Build and configure Kubernetes clusters using NVIDIA k8s-device-plugin or NVIDIA GPU Operator for NVIDIA A100 or L40S GPUs
• Manage cloud infrastructure and define and maintain infrastructure as code (IaC) using Terraform, Terragrunt, and Ansible
• Work with Object Storage solutions such as AWS S3, Google Cloud Storage, and Azure Blob Storage
• Work with highly distributed (MPP) software, particularly using OpenMPI
• Work with SQL and NoSQL database systems, especially PostgreSQL, MongoDB, Redis, and ClickHouse
• Conduct software testing and analyze and diagnose errors in IT systems
• Identify technical problems and select tools, systems, and components supporting software development
• Monitor existing project systems and implement updates and improvements
• Analyze technological environment for optimization and further development possibilities
• Implement changes to increase system stability, performance, and security
• Support development of solutions based on machine learning models, particularly in anomaly detection
• Improve processes for identifying development areas using advanced neural networks