AI / ML Engineer

AI / ML Engineer

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
ASTREYA ASIA PACIFIC PTE. LIMITED

At a Glance

  • Tasks: Design and implement AI/ML models to tackle real-world IT challenges.
  • Company: Forward-thinking tech company focused on AI-driven solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for skill development.
  • Other info: Dynamic role with potential for significant career advancement.
  • Why this job: Join a team shaping the future of AI in enterprise environments.
  • Qualifications: Experience in AI/ML, Python, and Agile methodologies.

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.

AI / ML Engineer 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 benefit from extensive growth opportunities, access to cutting-edge technology, and a supportive environment that encourages continuous learning and professional advancement. Located in a vibrant tech hub, our company provides unique advantages such as networking with industry leaders and participating in exciting projects that shape the future of AI-driven automation.

ASTREYA ASIA PACIFIC PTE. LIMITED

Contact Detail:

ASTREYA ASIA PACIFIC PTE. LIMITED Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI / ML Engineer

Tip Number 1

Network, network, network! Get out there and connect with professionals in the AI/ML field. Attend meetups, webinars, or conferences to meet potential employers and learn about job openings that might not be advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or personal projects, having tangible evidence of your expertise can really set you apart from the competition.

Tip Number 3

Prepare for interviews by brushing up on common AI/ML questions and practical tests. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.

Tip Number 4

Don’t forget to apply through our website! We often have exclusive job listings that you won’t find elsewhere. Plus, it’s a great way to show your interest in joining our community at StudySmarter.

We think you need these skills to ace AI / ML Engineer

Artificial Intelligence
Machine Learning
AI Solutions Architecture
Agile Methodologies
PowerShell
Python
AIOps

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, machine learning models, and any relevant programming skills like PowerShell and Python. We want to see how your background aligns 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 how you can contribute to our roadmap for AI-driven automation. Be sure to mention specific projects or experiences that relate to the job description.

Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially those involving scalable AI solutions or LLMs!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!

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. Be ready to discuss specific models you've worked with, especially in relation to automated network diagnostics or LLMs. Showing that you understand the technical details will impress the interviewers.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex IT challenges using AI solutions. Think about times when you designed scalable systems or optimised network performance. Real-world examples will help demonstrate your capability as an AI Solutions Owner.

Get Agile Savvy

Since this role involves managing an Agile backlog, be prepared to talk about your experience in Agile/Scrum environments. Discuss how you've written user stories, defined acceptance criteria, and prioritised features in past projects. This shows you can hit the ground running.

Brush Up on Your Coding Skills

Familiarise yourself with PowerShell and Python, as these are key tools for the role. You might be asked to solve a coding problem or explain how you've used these languages in your previous work. Being confident in your coding abilities will set you apart from other candidates.