Teams at ELEKS

Lead design and operations of GPU infrastructure and Kubernetes-based AI platform environments. Manage capacity planning, optimize training/inference workloads, define reliability and security practices, implement IaC, monitoring, and disaster recovery, and collaborate with AI engineering to evolve infrastructure.

Design and architect enterprise-grade MLOps and LLMOps platforms, build deployment strategies and CI/CD pipelines, define model lifecycle and governance, implement monitoring/observability and evaluation frameworks, collaborate with researchers and DevOps, and advise stakeholders on operationalizing secure GenAI solutions.

Design and lead scalable enterprise data architectures using PostgreSQL and graph databases. Define logical and physical data models, optimize performance, modernize databases, integrate relational and graph systems, support AI/analytics platforms, produce governance documentation, and guide engineering teams through implementation.