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- Tasks: Develop and guide on RAG-based systems for Arabic to English interpretation.
- Company: Join a forward-thinking team focused on AI innovation.
- Benefits: Flexible hours, competitive pay, and the chance to work on exciting projects.
- Why this job: Make a real impact in AI while enhancing your skills in a dynamic environment.
- Qualifications: Proficiency in AI, Machine Learning, Python, and APIs required.
- Other info: Contract role with potential for future opportunities.
The predicted salary is between 1500 - 2250 £ per month.
I need an AI expert to help me develop an RAG-based system for my LLM, focusing on Arabic to English interpretation. The project involves complex tasks such as developing an RAG-based system and language interpretation, indicating a need for advanced proficiency. Alternatively, you need not develop the system for me. I would appreciate guidance/insight into relevant software I can use to make this happen.
Contract duration of 1 to 3 months, with 30 hours per week.
Mandatory skills:- Artificial Intelligence
- Machine Learning
- Python
- API
- Artificial Neural Network
AI Expert for RAG-Based System employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Expert for RAG-Based System
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings or projects that need your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with RAG-based systems, language interpretation, or any relevant projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply anywhere—apply smart! Use our website to find roles that match your skills in AI, Python, and machine learning. Tailor your approach to each opportunity, highlighting how your experience aligns with their needs.
✨Tip Number 4
Be ready for the chat! Brush up on your knowledge of APIs and artificial neural networks. Prepare to discuss your insights on relevant software and how you can contribute to developing an RAG-based system. Confidence is key!
We think you need these skills to ace AI Expert for RAG-Based System
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in AI, Machine Learning, and Python. We want to see how your skills align with the project needs, so don’t hold back on showcasing your experience!
Tailor Your Application: Customise your application to reflect the specifics of the job description. Mention your familiarity with RAG-based systems and language interpretation, especially in the context of Arabic to English.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to demonstrate your expertise. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It helps us keep everything organised and ensures your application gets the attention it deserves.
How to prepare for a job interview at FreelanceJobs
✨Know Your AI Stuff
Make sure you brush up on your knowledge of artificial intelligence and machine learning, especially as it relates to RAG-based systems. Be ready to discuss specific projects you've worked on, particularly those involving language interpretation and Python.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach developing an RAG-based system or guiding someone through relevant software. This will demonstrate your critical thinking and expertise in real-world applications.
✨Familiarise Yourself with APIs and Neural Networks
Since the role requires proficiency in APIs and artificial neural networks, make sure you can explain how these technologies work together. Bring examples of how you've used them in past projects to illustrate your experience.
✨Ask Insightful Questions
Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the project and the company’s vision for the RAG-based system. This shows your genuine interest and helps you assess if it's the right fit for you.
