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Lantrasoft is seeking ML/BigPanda Engineers for a full-time hybrid role based in Columbus, OH. The team will design, develop, and deploy machine learning models and workflows to improve monitoring, incident detection, and automation within complex IT infrastructure environments.
You will work with infrastructure, DevOps, and application teams to transform data into actionable intelligence, configure alert correlation, and monitor production systems while iterating on reliability and
Lantrasoft is a technology partner specializing in IT Infrastructure Management Services across multi-cloud, hybrid cloud, and high-performance computing environments, as well as virtualization and application development. The company serves a wide range of industries, including manufacturing, banking, financial services, insurance, sustainability solutions, healthcare, IoT, automation, cost management, and e-commerce. Lantrasoft focuses on delivering transformational business outcomes through cost-effective, secure, and usable technology solutions implemented with strategic and operational rigor. The team collaborates closely with clients to design custom roadmaps that guide effective deployment and optimization of advanced solutions. Headquartered in Columbus, Ohio, Lantrasoft is supported by dedicated development centers in India and the Philippines.
This is a full-time hybrid role based in Columbus, OH, with flexibility for some work-from-home arrangements. ML and BigPanda Engineers will design, develop, and deploy machine learning models and workflows to improve monitoring, incident detection, and automation within complex IT infrastructure environments. Daily responsibilities include integrating ML-driven insights into BigPanda, configuring alert correlation, building data pipelines, and tuning algorithms for performance and accuracy. The role involves collaborating with infrastructure, DevOps, and application teams to understand operational requirements, transform data into actionable intelligence, and document solutions and best practices. Engineers will also monitor production systems, troubleshoot issues, optimize models and rules, and contribute to continuous improvement of reliability and observability platforms.