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- Tasks: Develop AI models and optimise voice agents for financial services.
- Company: Leading finance technology company focused on innovation.
- Benefits: Competitive salary up to $222,700, health insurance, and flexible vacation.
- Why this job: Make a significant impact on financial accessibility in Africa.
- Qualifications: 5+ years of ML experience and strong Python skills.
- Other info: Fully remote position available in the UK, Spain, Kenya, or Ghana.
The predicted salary is between 48000 - 72000 £ per year.
A leading finance technology company is seeking a Machine Learning Engineer to develop AI models and optimize voice agents for financial services. This is a fully remote position based in the UK, Spain, Kenya, or Ghana.
The successful candidate will have at least 5 years of ML experience and strong proficiency in Python.
The role offers a competitive salary up to $222,700, plus generous benefits like health insurance and flexible vacation.
Join us to make a significant impact on financial accessibility in Africa.
Remote AI Engineer — Voice & NLP for Fintech Impact employer: Wave Mobile Money
Contact Detail:
Wave Mobile Money Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer — Voice & NLP for Fintech Impact
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with AI and voice tech. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to voice and NLP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to 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 Remote AI Engineer — Voice & NLP for Fintech Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. 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! Use it to explain why you’re passionate about AI in fintech and how you can contribute to our mission of improving financial accessibility in Africa. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool AI models or voice agents, make sure to mention them! We love seeing practical examples of your work, especially if they relate to financial services or NLP.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Wave Mobile Money
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to voice and NLP. Be ready to discuss your past projects and how you've optimised models in a financial context. This will show that you not only have the technical skills but also understand their application in fintech.
✨Python Proficiency is Key
Since strong proficiency in Python is a must, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your code from previous projects. Practising common algorithms and data structures in Python can really help you shine.
✨Understand the Company’s Mission
Research the company’s impact on financial accessibility in Africa. Being able to articulate how your work as an AI Engineer can contribute to this mission will set you apart. Show them that you’re not just looking for a job, but that you genuinely care about making a difference.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions. Ask about their current projects, team dynamics, or how they measure success in AI initiatives. This shows your interest and helps you gauge if the company is the right fit for you.
