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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 is essential.
- Other info: This is a contract position offering flexibility and the chance to work with cutting-edge technologies.
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
Showcase your experience with Python and cloud platforms like GCP and Azure through practical examples. Prepare to discuss specific projects where you deployed machine learning models or built scalable applications.
✨Tip Number 3
Network with professionals in the AI field, especially those who work with cloud technologies. Engaging in relevant online communities or attending virtual meetups can help you gain insights and potentially referrals.
✨Tip Number 4
Prepare for technical interviews by brushing up on algorithms and data structures, as well as cloud infrastructure management. Practising coding challenges related to machine learning can also give you an edge.
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: Include a section in your application that outlines your technical skills, particularly in developing scalable applications, deploying machine learning models, and working with cloud services. Be specific about the tools and technologies you have used.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and collaboration abilities. Provide examples of how you've worked effectively 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 Company’s Tech Stack
Research the specific technologies and tools used by the company. Familiarise yourself with their approach to AI and cloud services, as this knowledge can help you tailor your responses and show that you're genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when solving problems related to machine learning algorithms or cloud infrastructure, as this will highlight your analytical skills and ability to think on your feet.
✨Emphasise Collaboration and Communication
Since the role involves working with cross-functional teams, be ready to discuss your experiences collaborating with others. Share examples of how you've effectively communicated complex technical concepts to non-technical stakeholders, showcasing your soft skills.
