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For Companies At a Glance
- Tasks: Build AI automation to streamline data management and enhance efficiency.
- Company: Join a forward-thinking company focused on innovative AI solutions.
- Benefits: Flexible contract, competitive pay, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact by leveraging AI to transform data processes.
- Qualifications: Experience in Python, Machine Learning, and API integration is essential.
- Other info: Contract role with 30 hours per week and potential for future opportunities.
The predicted salary is between 1300 - 1800 £ per month.
We are seeking an experienced AI automation developer to enhance our data management processes. The ideal candidate will build automation that extracts data from emails and Fireflies notes, summarizes investor investment criteria, and creates a robust database integrated with a language model (LLM). A solid understanding of AI technologies, database management, and automation tools is critical for this role. If you have a passion for leveraging AI to streamline processes and improve efficiency, we would love to hear from you.
Contract duration of 1 to 3 months with 30 hours per week.
Mandatory skills:- Python
- Machine Learning
- Artificial Intelligence
- API
- Data Science
AI Automation Developer for Data Summarization and LLM Integration employer: FreelanceJobs
Contact Detail:
FreelanceJobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Automation Developer for Data Summarization and LLM Integration
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space on LinkedIn or at meetups. 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 related to Python, Machine Learning, and AI. 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 common questions related to AI automation and database management. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who want to make a difference in AI automation.
We think you need these skills to ace AI Automation Developer for Data Summarization and LLM Integration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Machine Learning, and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can help streamline our processes. Be specific about your experience with automation tools and database management.
Showcase Your Projects: If you've worked on any cool projects related to data summarization or LLM integration, make sure to mention them! We love seeing practical examples of your work that demonstrate your skills and creativity.
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 out on any important updates from our team!
How to prepare for a job interview at FreelanceJobs
✨Know Your Tech Inside Out
Make sure you brush up on your Python, Machine Learning, and AI skills. Be ready to discuss specific projects where you've used these technologies, especially in automation and data management. The more you can demonstrate your expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, particularly those involving data extraction and summarisation. Think of examples where you've improved processes or created efficiencies using automation tools.
✨Understand the Company’s Needs
Research the company and its current data management processes. Be ready to suggest how your skills can enhance their operations, especially in integrating LLMs with their database. Tailoring your answers to their specific needs will show that you're genuinely interested.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the team. This could be about their current tech stack, challenges they face with data management, or how they envision the integration of AI in their processes. It shows you're engaged and eager to contribute.
