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- Tasks: Clone a repo and train machine learning models with provided data.
- Company: Join a forward-thinking team focused on AI innovation.
- Benefits: Flexible hours, hands-on experience, and potential for future projects.
- Why this job: Dive into the world of machine learning and make an impact with real data.
- Qualifications: Proficiency in Python and experience with machine learning techniques.
- Other info: Contract role with opportunities for growth and learning.
The predicted salary is between 10 - 13 £ per hour.
I need someone that knows Python and machine learning to:
- Clone a repo
- Follow this repo instructions and train with repo data
- If results are good, train with my data
Contract duration of 1 to 3 months, with 30 hours per week.
Mandatory skills: Python, Machine Learning, Artificial Intelligence, Artificial Neural Network, Deep Learning
Machine learning to reproduce a repo employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine learning to reproduce a repo
✨Tip Number 1
Get your hands dirty with the repo! Before applying, clone it and play around with the data. This shows you’re proactive and gives you a solid understanding of what they need.
✨Tip Number 2
Brush up on your Python and machine learning skills. Make sure you can confidently discuss concepts like artificial neural networks and deep learning in your interviews. We want to see that you know your stuff!
✨Tip Number 3
Network with others in the field. Join forums or groups related to machine learning. You never know who might have a lead on a job or can give you insider tips about the company.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Machine learning to reproduce a repo
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and machine learning in your application. We want to see how you've used these skills in real projects, so don’t hold back!
Follow the Instructions: When you’re applying, pay close attention to the job description. We love candidates who can follow instructions, so make sure your application reflects that you understand what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid fluff and focus on what makes you a great fit for this role.
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 don’t miss any important updates from us!
How to prepare for a job interview at FreelanceJobs
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like TensorFlow or PyTorch, as well as any projects where you've implemented machine learning algorithms. They’ll likely want to see how comfortable you are with coding in Python.
✨Familiarise Yourself with the Repo
Before the interview, take some time to clone the repo mentioned in the job description and go through its instructions. Understanding the structure and purpose of the repo will help you answer questions confidently and show that you're proactive and detail-oriented.
✨Prepare for Technical Questions
Expect technical questions related to machine learning concepts, artificial intelligence, and deep learning. Brush up on key topics like neural networks, overfitting, and model evaluation metrics. Being able to explain these concepts clearly will demonstrate your expertise.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you approach problem-solving in machine learning projects. Share specific examples of challenges you've faced and how you overcame them. This will highlight your analytical thinking and adaptability, which are crucial for this role.
