ML and BigPanda Engineers

Company Description

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 Big Panda 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 Big Panda, configuring alert correlation, building data pipelines, and tuning algorithms for performance and accuracy.

The role involves collaborating with infrastructure, Dev Ops, 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.

• Strong foundation in Computer Science and Algorithms, including data structures and problem-solving skills.
• Proficiency in Statistics and Pattern Recognition to build and evaluate robust machine learning models.
• Experience with Neural Networks and modern ML frameworks for modeling complex operational and event data.
• Hands-on experience with Big Panda or similar AIOps/monitoring platforms, alert correlation, and incident management.
• Skill with scripting and programming languages commonly used in ML and automation (e.g., Python, Java, or similar).
• Experience building data pipelines and integrating data from monitoring, logging, and infrastructure tools.
• Familiarity with cloud and hybrid infrastructure environments (e.g., AWS, Azure, GCP) and Dev Ops practices.
• Ability to analyze large datasets, communicate technical concepts clearly, and collaborate in cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience with IT operations, SRE, or AIOps domains is beneficial.