AI Engineer

• Developing AI-driven automation and next generation AI tools.
• Strong understanding of data center network support and NOC operations, AI engineering, and a passion for developing innovative solutions to complex business challenges.
• Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals.
• Work 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).
• Take on Solution Owner role in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features.
• Drive evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs.
• Develop and ownership of key components of the automation framework, including PowerShell and Python runbook executors.
• Develop and train ML 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.
• Develop AI/Gen AI point solutions to meet business needs.
• Resolve and troubleshoot issues related to automation systems and AI models.
• Collaborate with customers, IT operators, Network Engineers, and internal stakeholders to gather requirements, validate solutions, and ensure product-market fit.
• Subject Matter Expert on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance and insights.
• Documentation of automation processes, code, and models clearly and concisely.
• Contribute to team results to achieve team goals and objectives.
• Take on skills, knowledge development and training of team members.

Requirements

• Around 4+ years of experience in IT services, with at least 3 years in:
• IT Service Automation – Orchestration, Scripting, & Process Assessment.
• Work experience in AI Engineering; Develop and deploy AI Agents and cutting-edge GenAI & ML solutions to address complex business challenges.
• Strong knowledge to integrate various tools and building analytics/insights.
• Verse with at least two scripting languages such as PowerShell, Python, or Shell Script.
• Strong foundation across core IT domains, with a specific emphasis on Network & Network Services, including understanding network topologies, protocols, and common operational issues.
• Competence at 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).
• Verse with major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning.
• Verse with 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).
• Work experience with AI/ML libraries and frameworks.
• Sound knowledge of ITIL process on one or more service lifecycle or service capability modules.
• Good Knowledge in one or more System administrative activities like monitoring, service requests, incident management, change management, & maintenance.
• Ability to converse and explain concepts and solutions clearly and concisely.
• Analytical and problem-solving skills.
• Mentorship experience

Kindly understand that only shortlisted candidates will be notified.

WeLead Solutions Pte Ltd

Poon Wai Soon, Bernard

Reg. No: R2197713

EA License No.: 23C1882