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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI solutions using popular frameworks and libraries.
- Company: Join Digiterre, a leading tech company in London, focused on innovative AI applications.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI with impactful projects.
- Qualifications: Strong programming skills in Python, Java, or Scala; experience with cloud-based AI services required.
- Other info: Ideal for tech enthusiasts eager to push boundaries in AI development.
The predicted salary is between 48000 - 72000 £ per year.
AI Frameworks and Libraries
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.
AI frameworks and libraries play a crucial role in the development of artificial intelligence applications. Some popular frameworks and libraries include TensorFlow, PyTorch, and Scikit-learn.
Programming Skills
Strong programming skills are essential for AI development. Proficiency in languages such as Python, Java, or Scala is highly valuable in this field.
Experience with Cloud-Based AI Services
Experience with cloud-based AI services and platforms is important for leveraging the power of AI in the cloud. Familiarity with platforms such as AWS, Azure, GCP, ServiceNow, and SalesForce can be beneficial.
Proven expertise in these areas can significantly enhance your AI development capabilities.
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AI Solutions Architect in London - Digiterre (London) employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Architect in London - Digiterre (London)
✨Tip Number 1
Network with professionals in the AI field, especially those who work with frameworks like TensorFlow and PyTorch. Attend meetups or webinars to connect with potential colleagues and learn about the latest trends in AI development.
✨Tip Number 2
Showcase your programming skills by contributing to open-source projects or creating your own AI applications. This hands-on experience can demonstrate your proficiency in languages like Python or Java, making you a more attractive candidate.
✨Tip Number 3
Familiarise yourself with cloud-based AI services by taking online courses or certifications. Being well-versed in platforms like AWS or Azure will not only boost your confidence but also make you stand out during interviews.
✨Tip Number 4
Prepare for technical interviews by practising common AI-related problems and algorithms. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding challenges that may come up during the hiring process.
We think you need these skills to ace AI Solutions Architect in London - Digiterre (London)
Some tips for your application 🫡
Match Your Skills: Before applying, carefully review the job description and ensure your skills align with the requirements. Highlight your experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn in your CV.
Showcase Programming Proficiency: Emphasise your programming skills in languages such as Python, Java, or Scala. Provide specific examples of projects or tasks where you utilised these languages effectively.
Highlight Cloud Experience: If you have experience with cloud-based AI services, make sure to mention it. Detail your familiarity with platforms like AWS, Azure, GCP, ServiceNow, and SalesForce, and how you've used them in past projects.
Craft a Tailored CV: Create a CV that is tailored specifically for the AI Solutions Architect role. Use keywords from the job description and ensure your achievements are quantifiable to stand out to the hiring team.
How to prepare for a job interview at WorksHub
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. Highlight specific projects where you've applied these tools, as this will demonstrate your hands-on expertise.
✨Demonstrate Programming Proficiency
Make sure to brush up on your programming skills in Python, Java, or Scala. You might be asked to solve coding problems or explain your thought process, so practice common algorithms and data structures relevant to AI development.
✨Familiarise Yourself with Cloud Platforms
Since experience with cloud-based AI services is crucial, review the functionalities of AWS, Azure, GCP, ServiceNow, and SalesForce. Be ready to discuss how you've used these platforms in previous roles or projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-world situations. Think about challenges you've faced in AI projects and how you overcame them, as this will showcase your critical thinking and adaptability.
