At a Glance
- Tasks: Design and implement AI/ML models to tackle real-world IT challenges.
- Company: Join a forward-thinking tech company focused on AI-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Be at the forefront of AI innovation and make a tangible impact in tech.
- Qualifications: 4+ years in IT services with strong skills in AI engineering and scripting.
The predicted salary is between 60000 - 80000 € per year.
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.
AI / ML Engineer in Penarth employer: ASTREYA ASIA PACIFIC PTE. LIMITED
Join a forward-thinking company that prioritises innovation and employee development, offering a dynamic work culture where collaboration and creativity thrive. As an AI/ML Engineer, you will have access to cutting-edge technology and the opportunity to lead impactful projects in a supportive environment that encourages continuous learning and professional growth. Located in a vibrant area, our company provides a unique blend of competitive benefits and a commitment to work-life balance, making it an excellent choice for those seeking meaningful and rewarding employment.
Contact Detail:
ASTREYA ASIA PACIFIC PTE. LIMITED Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI / ML Engineer in Penarth
✨Tip Number 1
Network, network, network! Get out there and connect with folks in the AI/ML space. Attend meetups, webinars, or even online forums. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, let potential employers see what you can do. It’s a great way to stand out from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company and mention how your experience aligns with their goals. This shows you’re genuinely interested and not just sending out mass applications.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a straightforward way to get your application noticed by the right people.
We think you need these skills to ace AI / ML Engineer in Penarth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with AI solutions, automation frameworks, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML, and how you can contribute to our team. Be sure to mention specific technologies or methodologies from the job description that you’re familiar with.
Showcase Your Projects:If you've worked on any AI or ML projects, make sure to showcase them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your work and how you’ve tackled challenges.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at ASTREYA ASIA PACIFIC PTE. LIMITED
✨Know Your AI and ML Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around LLMs and automation frameworks. Be ready to discuss your experience with tools like PowerShell and Python, and how you've used them to solve real-world problems.
✨Showcase Your Agile Experience
Since this role involves managing an Agile backlog, be prepared to talk about your experience in Agile/Scrum environments. Share specific examples of how you've written user stories, defined acceptance criteria, and prioritised features in past projects.
✨Demonstrate Problem-Solving Skills
Expect to face some technical questions that test your analytical and problem-solving abilities. Think of scenarios where you've tackled complex IT challenges, particularly in network diagnostics or capacity planning, and be ready to explain your thought process.
✨Engage with Stakeholders
This role requires collaboration with various teams and stakeholders. Prepare to discuss how you've gathered requirements and validated solutions in previous roles. Highlight your communication skills and how you ensure product-market fit through stakeholder engagement.
