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- Tasks: Scale document enrichment pipelines and enhance AWS infrastructure for AI/ML projects.
- Company: Global financial solutions provider in Greater London with a focus on innovation.
- Benefits: Mentorship opportunities, collaborative environment, and exposure to cutting-edge financial technologies.
- Why this job: Join a dynamic team and make an impact in the world of AI and finance.
- Qualifications: Strong background in AI/ML solutions and cloud architecture expertise.
- Other info: Exciting career growth potential in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
A global financial solutions provider in Greater London is seeking an experienced software engineer to join their Data Solutions AI team. In this role, you'll scale their document enrichment pipelines and enhance the AWS-based infrastructure for machine learning and AI projects.
Ideal candidates should have a strong background in AI/ML solutions and expertise in cloud architecture. This position also offers mentorship opportunities and the chance to work on innovative financial technologies in a collaborative environment.
AI/ML Engineer: Python, NLP & Vector DBs on AWS employer: FactSet
Contact Detail:
FactSet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer: Python, NLP & Vector DBs on AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those working with Python and AWS. Join relevant online communities or attend local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to document enrichment and cloud architecture. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with NLP and vector databases, as well as how you've tackled challenges in previous roles. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI/ML Engineer: Python, NLP & Vector DBs on AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions and cloud architecture. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in Python, NLP, and AWS can contribute to our Data Solutions AI team. Let us know what makes you tick!
Showcase Your Projects: If you’ve worked on any innovative financial technologies or document enrichment pipelines, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 FactSet
✨Know Your Tech Inside Out
Make sure you brush up on your Python, NLP, and AWS skills. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to document enrichment pipelines or cloud architecture. Think through your approach to solving these problems and be ready to explain your thought process clearly.
✨Highlight Collaborative Experiences
Since this role involves working in a team, share examples of how you've successfully collaborated with others in past projects. Discuss any mentorship experiences you've had, as this will resonate well with the company’s focus on collaboration.
✨Stay Updated on Financial Technologies
Familiarise yourself with the latest trends in financial technologies and AI/ML solutions. Being able to discuss current innovations will show your enthusiasm for the field and your commitment to staying ahead of the curve.
