AI ML Engineer 3

**Job Description** **Responsibilities:** * Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals. * Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents NOC operations). * Act as the Solution Owner in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features. * Lead the evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs. * Develop and own key components of the automation framework, including PowerShell and Python runbook executors. * Develop and train machine learning models for tasks such as anomaly detection, predictive maintenance, and capacity planning in IT environments. * Work with large datasets of IT operational data, performing data cleaning, feature engineering, and data analysis to improve model accuracy and performance. * Contribute to the development of internal automation tools and frameworks. * Deliver continuous service improvements by proactively identifying opportunities for process enhancements. * Proficiently 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 the Subject Matter Expert (SME) on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance and insights. * Document automation processes, code, and models clearly and concisely. * Actively contribute to team results and work towards achieving team goals and objectives. * Undertake designated skill/knowledge development within the organization, including training of next-level team members. **Required Skills & Competencies:** * 4+ years of experience in IT services, with at least 3 years in: * IT Service Automation – Orchestration, Scripting, & Process Assessment. * AI Engineering – Developing and deploying AI Agents and cutting-edge GenAI & ML solutions to address complex business challenges. * Expertise in integrating various tools and building analytics/insights. * Proficiency in at least two scripting languages such as PowerShell, Python, or Shell Script. * Strong foundational knowledge across core IT domains, with a specific emphasis on Network & Network Services, including understanding network topologies, protocols, and common operational issues. * Demonstrable experience implementing solutions using state-of-the-art LLMs, with hands-on experience with both open-source models (e.g., Llama series) and proprietary models (e.g., GPT-4). * Proficiency with a major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning. * Proficiency in a high-level programming language (Java, Python) and experience with containerization technologies (Docker, Kubernetes) for deploying AI models. * Solid understanding and practical experience with cloud platforms such as Azure or GCP, including knowledge of their networking services (e.g., VNets, VPCs). * Experience with AI/ML libraries and frameworks. * A strong understanding of ITIL process on one or more service lifecycle or service capability modules. * Knowledge in one or more System administrative activities like monitoring, service requests, incident management, change management, & maintenance. * Excellent communication skills with an ability to explain concepts and solutions clearly and concisely. * Excellent analytical and problem-solving skills.