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

WeLead Solutions Pte Ltd

Poon Wai Soon, Bernard

Reg. No: R2197713

EA License No.: 23C1882