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- Tasks: Help build intelligent systems to optimise supply chain operations and support AI model deployment.
- Company: Join a forward-thinking company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with plenty of learning opportunities.
- Why this job: Make a real impact in the exciting field of AI and supply chain optimisation.
- Qualifications: Bachelor's degree in computer science and strong Python skills required.
The predicted salary is between 28000 - 35000 £ per year.
We’re looking for a Junior AI Engineer to help build intelligent systems that optimize supply chain operations such as demand forecasting, inventory management, and logistics planning. You’ll also support the deployment and maintenance of AI models using DevOps and MLOps practices, ensuring reliable and scalable production systems.
Key Responsibilities
- Assist in developing machine learning models for supply chain use cases
- Collect, clean, and preprocess supply chain data (ERP, warehouse, logistics data)
- Support model training, evaluation, and performance tuning
- Help deploy models into production using APIs and pipelines
- Work with DevOps practices to automate model deployment and monitoring
- Collaborate with data engineers and business teams to translate operational needs into AI solutions
- Monitor model performance, data drift, and system reliability
- Document workflows, pipelines, and models
Required Qualifications
- Bachelor’s degree in computer science, preferably with AI and Data science
- Strong Python programming skills
- Basic understanding of machine learning concepts (regression, classification, time series forecasting)
- Familiarity with libraries
- Experience with data processing tools
- Basic knowledge of SQL and working with databases
- Familiarity with version control using Git
DevOps / MLOps Requirements
- Understanding of CI/CD concepts and tools such as Jenkins or GitHub Actions
- Basic experience with containerization tools like Docker
- Exposure to orchestration tools such as Kubernetes (preferred but not required)
- Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure
- Awareness of MLOps tools
Supply Chain Knowledge (Preferred)
- Basic understanding of supply chain processes
- Exposure to forecasting techniques and time-series analysis
- Familiarity with ERP or logistics systems is a plus
Soft Skills
- Analytical thinking and problem-solving ability
- Strong communication skills to work with both technical and business teams
- Eagerness to learn and adapt in a fast-paced environment
- Attention to detail and reliability
Junior AI Engineer employer: APBA TG HUMAN RESOURCE PTE. LTD.
Contact Detail:
APBA TG HUMAN RESOURCE PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and supply chain optimisation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and business teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Junior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Junior AI Engineer role. We want to see your Python prowess and any machine learning projects you've tackled, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background fits with our mission at StudySmarter. Let us know what makes you tick in the world of AI.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially in supply chain contexts!
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’s super easy!
How to prepare for a job interview at APBA TG HUMAN RESOURCE PTE. LTD.
✨Know Your AI Basics
Brush up on your machine learning concepts, especially regression, classification, and time series forecasting. Be ready to discuss how these concepts apply to supply chain operations, as this will show your understanding of the role.
✨Showcase Your Python Skills
Prepare to demonstrate your Python programming skills during the interview. You might be asked to solve a coding problem or explain how you've used Python in past projects, so have some examples ready that highlight your experience with relevant libraries.
✨Familiarise Yourself with DevOps Practices
Since the role involves deploying models using DevOps and MLOps practices, make sure you understand CI/CD concepts and tools like Jenkins or GitHub Actions. Being able to discuss how you've automated processes or worked with containerization tools like Docker will give you an edge.
✨Communicate Effectively
Strong communication skills are key for this position. Practice explaining technical concepts in simple terms, as you'll need to collaborate with both technical and business teams. Show your eagerness to learn and adapt, and don’t hesitate to ask questions during the interview!