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- Tasks: Design and develop AI/ML models to revolutionise shopping experiences.
- Company: Join ShopQuick, a creative initiative under Novalink Innovations Limited.
- Benefits: Gain hands-on experience in a collaborative environment while making a difference.
- Other info: Flexible hybrid or remote role with opportunities for personal growth.
- Why this job: Be at the forefront of technology, tackling real-world challenges with AI.
- Qualifications: Experience in machine learning and proficiency in Python or R required.
ShopQuick, a voluntary initiative under Novalink Innovations Limited, is dedicated to leveraging technology to redefine convenience in daily shopping experiences. Based in the United Kingdom, ShopQuick thrives on collaboration and creativity to empower communities and enhance shopping systems.
This is an on-site volunteer role for an AI/ML Engineer, located in the United Kingdom. The role involves:
- Designing, developing, and testing AI and machine learning models
- Pre-processing and analyzing large data sets
- Optimizing algorithms and monitoring performance metrics
- Staying updated with advancements in machine learning technologies and applying them to real-world challenges
Experience in Machine Learning and Artificial Intelligence, including fundamental concepts and applications is required. Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn is essential. Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently are necessary. A degree or ongoing studies in Computer Science, Data Science, Mathematics, or related fields is preferred.
Machine Learning Engineer (hybrid or remote) employer: ShopQuick (Novalink Innovations Limited)
Contact Detail:
ShopQuick (Novalink Innovations Limited) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (hybrid or remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and join online forums. The more connections we make, the better our chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. We want to see what you can do, so let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice makes perfect, and we want you to feel confident when discussing your expertise with potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to join our mission at ShopQuick.
We think you need these skills to ace Machine Learning Engineer (hybrid or remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI and machine learning, and don’t forget to mention any relevant projects or skills that match what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you a great fit for ShopQuick. Keep it engaging and personal – we want to get to know you!
Showcase Your Technical Skills: Since this role involves programming and data management, be sure to showcase your proficiency in Python or R. Mention any libraries you’ve worked with, like TensorFlow or PyTorch, and provide examples of how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ShopQuick (Novalink Innovations Limited)
✨Know Your Tech
Make sure you brush up on your knowledge of machine learning concepts and the programming languages mentioned in the job description, like Python or R. Be ready to discuss specific libraries such as TensorFlow or PyTorch, and maybe even share a project where you used them.
✨Showcase Your Data Skills
Prepare to talk about your experience with data management. Think of examples where you've pre-processed or cleaned large data sets. Being able to explain your approach to handling data will show that you can tackle real-world challenges effectively.
✨Stay Updated
The field of AI and machine learning is always evolving, so make sure you're aware of the latest advancements. Bring up any recent trends or technologies you've been following during the interview. This shows your passion for the field and your commitment to continuous learning.
✨Collaborate and Communicate
Since ShopQuick values collaboration, be prepared to discuss how you've worked in teams before. Share examples of how you’ve communicated complex ideas to non-technical stakeholders. This will demonstrate your ability to work well within a team and contribute to their creative environment.