AI / ML Engineer

The AI/ML Engineer is responsible for designing, developing, and implementing artificial intelligence and machine learning models to solve enterprise IT and operational challenges. As an AI Solutions Owner, you will drive the roadmap for AI-powered automation within IT and networking environments. You will architect scalable solutions, including automated network diagnostics and AI agents for NOC operations, while leading the integration of LLMs. Managing the Agile backlog, you’ll collaborate with engineering teams to build machine learning models for anomaly detection and capacity planning. By leveraging PowerShell, Python, and AIOps expertise, you will transform complex IT operational data into robust automation frameworks that optimize network performance.

Responsibilities:

• Contribute towards 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:

(i) IT Service Automation – Orchestration, Scripting, & Process Assessment.

(ii) 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.