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- Tasks: Lead AI initiatives and integrate machine learning into our SaaS analytics platform.
- Company: A top provider of innovative SaaS analytics solutions.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI-driven innovation in a collaborative environment.
- Qualifications: Extensive AI/ML experience and strong Python skills required.
- Other info: Join a dynamic team and make a real impact on technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading provider of SaaS analytics solutions is seeking an AI Engineer to lead AI initiatives and integrate machine learning capabilities into their platform. This role involves defining Akixi’s AI strategy, working hands-on through prototyping, and collaborating across teams.
Candidates should have extensive experience in AI/ML, strong Python skills, and the ability to develop integrated solutions. This position offers a hybrid working model in the UK, along with opportunities to influence AI-driven innovation.
AI Architect for SaaS Analytics — Remote (UK) in Leeds employer: Akixi
Contact Detail:
Akixi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect for SaaS Analytics — Remote (UK) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and SaaS analytics space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs to ask for advice or insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s a GitHub repo or a personal website, let your work speak for itself and highlight your Python prowess.
✨Tip Number 3
Prepare for those interviews! Research common AI Architect interview questions and practice your answers. Be ready to discuss your experience with integrated solutions and how you can influence AI-driven innovation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Architect for SaaS Analytics — Remote (UK) in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in AI/ML and Python in your application. We want to see how your skills align with our needs, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your CV and cover letter for the AI Architect role. Mention specific experiences that relate to defining AI strategies and integrating machine learning capabilities, as this will help us see you as a perfect fit.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to understand your qualifications and motivations.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Akixi
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your previous projects and how you've integrated AI solutions into platforms, as this will show your hands-on experience.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding, so practice common algorithms and data structures beforehand.
✨Collaborate Like a Pro
This role involves working across teams, so highlight your collaboration skills. Prepare examples of how you've successfully worked with different departments in the past, and be ready to discuss how you can contribute to a team-oriented environment.
✨Be Ready to Define Your Vision
As you'll be defining the AI strategy, think about your vision for AI-driven innovation. Prepare to articulate your ideas clearly and how they align with the company's goals. This will show that you're not just technically skilled but also strategic in your thinking.
