AI / ML Engineer II

Responsibilities:

• Contribute to the AI roadmap, focusing on AI-driven automation aligned with strategic company and client goals.
• Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions, including automated network diagnostics, bot recommendation systems, and AI agents for NOC operations.
• Act as the Solution Owner in an Agile/Scrum environment, managing product backlogs, writing detailed user stories, defining acceptance criteria, and prioritizing features.
• Lead evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like the Llama series and other proprietary LLMs.
• Develop and maintain key components of the automation framework, including PowerShell and Python runbook executors.
• Develop and train machine learning models for anomaly detection, predictive maintenance, and capacity planning in IT environments.
• Work with large IT operational datasets, performing data cleaning, feature engineering, and analysis to improve model accuracy and performance.
• Contribute to the development of internal automation tools and frameworks.
• Identify opportunities for process enhancements and deliver continuous service improvements.
• Develop AI/Gen AI point solutions to meet business needs.
• Troubleshoot and resolve issues related to automation systems and AI models.
• Engage with customers, IT operators, Network Engineers, and internal stakeholders to gather requirements, validate solutions, and ensure product-market fit.
• Serve as a Subject Matter Expert (SME) on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance.
• Document automation processes, code, and AI models clearly and concisely.
• Contribute actively to team results and achieve team goals and objectives.
• Undertake skill/knowledge development initiatives, including training next-level team members.