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For Companies At a Glance
- Tasks: Design and implement AWS solutions, focusing on Sagemaker for fraud detection.
- Company: Join a dynamic AI start-up making waves in fraud detection technology.
- Benefits: Enjoy remote work flexibility, competitive salary, and a supportive team culture.
- Why this job: Be part of an innovative project that tackles real-world challenges and makes a difference.
- Qualifications: Experience with AWS architecture and Sagemaker is essential; passion for AI is a plus.
- Other info: Work 40 hours a week with flexible hours, focusing on core times from 10am to 2pm GMT.
The predicted salary is between 75000 - 85000 £ per year.
Role: AWS Technical Architect
Location: Remote (UK only)
Salary: £75,000-£85,000 depending on experience
Working Hours: 40 hours per week, with flexible working and a focus on core hours (10am-2pm GMT)
About the Company
We are supporting a fast-moving AI start-up that is building something genuinely impactful in the fraud detection space. They are tackling a huge industry challenge detecting fraudulent activities.
AWS Architect (Sagemaker) employer: We Are Dcoded Limited
Contact Detail:
We Are Dcoded Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Architect (Sagemaker)
✨Tip Number 1
Familiarise yourself with AWS Sagemaker and its applications in fraud detection. Understanding how this tool can be leveraged to build machine learning models will give you an edge during discussions.
✨Tip Number 2
Network with professionals in the AI and fraud detection sectors. Engaging with industry experts on platforms like LinkedIn can provide insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented AWS solutions. Be ready to share specific examples that highlight your problem-solving skills and technical expertise.
✨Tip Number 4
Stay updated on the latest trends in AI and fraud detection. Being knowledgeable about current challenges and innovations in the field will demonstrate your passion and commitment to the role.
We think you need these skills to ace AWS Architect (Sagemaker)
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of an AWS Technical Architect, especially in relation to Sagemaker. Highlight your experience with cloud architecture and AI solutions in your application.
Tailor Your CV: Make sure your CV reflects relevant skills and experiences that align with the job description. Emphasise your expertise in AWS services, particularly Sagemaker, and any previous work in fraud detection or AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and fraud detection. Explain why you are interested in this role and how your background makes you a perfect fit for the company’s mission.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects professionalism.
How to prepare for a job interview at We Are Dcoded Limited
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services, especially Sagemaker. Be prepared to discuss specific projects where you've implemented these technologies and the impact they had on the outcomes.
✨Understand the Company’s Mission
Research the AI start-up's goals in fraud detection. Demonstrating knowledge about their mission and how your skills can contribute will show your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect technical questions related to AWS architecture and Sagemaker. Brush up on best practices, common pitfalls, and recent updates in AWS to confidently answer any queries that come your way.
✨Emphasise Flexibility and Collaboration
Since the role is remote with flexible hours, be ready to discuss how you manage your time effectively and collaborate with teams in different time zones. Share examples of past experiences that demonstrate your adaptability.
