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- Tasks: Develop scalable Python applications and deploy machine learning models on cloud platforms.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Enjoy fully remote work and competitive pay of £550 per day.
- Why this job: Be at the forefront of AI technology, collaborating with diverse teams to make an impact.
- Qualifications: Experience in Python, GCP, Azure, and machine learning technologies is essential.
- Other info: This is a contract position offering flexibility and the chance to work with cutting-edge tools.
The predicted salary is between 39600 - 66000 £ per year.
Contract – AI Developer (Fully Remote) – £550 p/d
We are seeking a highly skilled and motivated AI Developer with experience in Python, Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based services using cutting-edge technologies.
Key Responsibilities:
- Design, develop, and maintain scalable Python applications.
- Build and deploy machine learning models on cloud platforms (GCP and Azure).
- Develop, test, and optimize machine learning algorithms for various business use cases.
- Implement and manage cloud infrastructure on GCP and Azure to support data processing, storage, and model deployment.
- Design RESTful APIs for machine learning services and integrate them with existing systems.
- Monitor, troubleshoot, and optimize cloud services to ensure high availability and performance.
- Collaborate with cross-functional teams, including data scientists, cloud engineers, and product managers, to deliver solutions.
- Ensure best practices in software development, including version control, documentation, and testing.
Soft Skills:
- Strong communication and collaboration skills.
- Ability to adapt quickly to new technologies and changing business needs.
- Detail-oriented with excellent analytical and organizational skills.
- Proactive in identifying issues and proposing solutions.
Artificial Intelligence Engineer employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss recent advancements or projects you've worked on can really impress during interviews.
✨Tip Number 2
Network with professionals in the AI field, especially those who work with GCP and Azure. Engaging in relevant online communities or attending virtual meetups can help you make valuable connections.
✨Tip Number 3
Prepare to demonstrate your technical skills through practical assessments or coding challenges. Brush up on Python and cloud services, as you may be asked to solve real-world problems during the interview.
✨Tip Number 4
Showcase your soft skills by preparing examples of how you've successfully collaborated with teams in the past. Highlighting your communication and problem-solving abilities can set you apart from other candidates.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, GCP, Azure, and machine learning technologies. Use specific examples of projects you've worked on that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI development and how your background aligns with the responsibilities listed in the job description. Mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: If you have any certifications or completed courses related to AI, cloud platforms, or machine learning, be sure to include them in your application. This can set you apart from other candidates.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and collaboration abilities. Provide examples of how you've successfully worked in teams or adapted to new technologies in previous roles.
How to prepare for a job interview at Sanderson
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, GCP, and Azure in detail. Bring examples of projects where you've developed scalable applications or deployed machine learning models, as this will demonstrate your hands-on expertise.
✨Understand the Role's Responsibilities
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to explain how your previous experiences align with tasks like designing RESTful APIs or optimising cloud services, as this shows you understand what the role entails.
✨Prepare for Technical Questions
Expect technical questions related to machine learning algorithms and cloud infrastructure management. Brush up on common algorithms and their applications, as well as best practices for deploying models on GCP and Azure, to showcase your knowledge.
✨Demonstrate Soft Skills
Since strong communication and collaboration skills are essential, think of examples where you've worked effectively in a team or adapted to new technologies. Highlighting these experiences will show that you're not just technically proficient but also a great team player.
