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- Tasks: Develop and manage AI models using Azure and M365 Copilot to boost productivity.
- Company: Join a forward-thinking consultancy focused on AI and cloud solutions.
- Benefits: Enjoy fully remote work, flexible hours, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation while collaborating with diverse teams.
- Qualifications: Strong foundation in AI, machine learning, and hands-on cloud computing experience required.
- Other info: Video interviews conducted remotely for your convenience.
The predicted salary is between 36000 - 60000 £ per year.
A consultancy client is seeking a Copilot Expert to join our team, specialising in Azure AI Foundry and M365 Copilot. This role will involve developing, deploying, and managing AI models within the Azure ecosystem, with a particular focus on leveraging M365 Copilot to enhance user productivity and business outcomes.
The successful candidate will have a strong foundation in AI and machine learning, along with hands-on experience in cloud computing and collaboration tools.
- Design, build, and train machine learning models to integrate with Azure AI Foundry and M365 Copilot, improving automation and decision-making capabilities.
- Deploy, monitor, and scale AI models using Azure’s cloud infrastructure, ensuring high availability and performance.
- Work closely with cross-functional teams, including developers, business analysts, and data scientists, to define and deliver AI-driven solutions.
- Prepare and preprocess large datasets, ensuring clean, high-quality data for training and testing AI models.
- Stay up-to-date with the latest trends in AI, machine learning, and cloud computing, applying new knowledge to improve systems and processes.
- Communicate complex AI concepts to non-technical stakeholders and contribute to the development of user-friendly, business-facing solutions.
Requirements:
- Solid understanding of machine learning algorithms, deep learning, and natural language processing.
- Hands-on experience with Azure Machine Learning, Cognitive Services, and custom model development within the Azure ecosystem.
- Expertise with Microsoft 365 Copilot, including its integration with other Azure AI services to enhance user experiences.
- Proficient in Python, R, or similar programming languages; strong data engineering skills, including data wrangling and preprocessing.
- Proficiency in working with cloud platforms, particularly Azure, for AI model deployment, scaling, and monitoring.
- Strong analytical skills with the ability to troubleshoot and optimise AI-driven systems.
Cloud Consultant (Fully Remote) employer: X4 Technology
Contact Detail:
X4 Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Consultant (Fully Remote)
✨Tip Number 1
Familiarise yourself with Azure AI Foundry and M365 Copilot. Understanding how these tools work and their capabilities will help you demonstrate your expertise during interviews and discussions with our team.
✨Tip Number 2
Network with professionals in the AI and cloud computing fields. Engaging with others who have experience in Azure and M365 can provide valuable insights and potentially lead to referrals within our company.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning. Being knowledgeable about recent advancements will not only enhance your skills but also show us that you're passionate about the field during your interactions.
✨Tip Number 4
Prepare to discuss real-world applications of AI models you've worked on. Sharing specific examples of how you've improved processes or outcomes using Azure services will make a strong impression on us.
We think you need these skills to ace Cloud Consultant (Fully Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and cloud computing. Emphasise any hands-on work with Azure Machine Learning and M365 Copilot, as well as your programming skills in Python or R.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your background aligns with the role. Mention specific projects where you've developed or deployed AI models, and how you’ve improved user productivity through technology.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, particularly those related to Azure services, machine learning algorithms, and data engineering. This will help demonstrate your qualifications for the Cloud Consultant position.
Prepare for Video Interviews: Since interviews are held remotely, practice articulating complex AI concepts clearly and concisely. Be ready to discuss your previous projects and how they relate to the responsibilities of the role, especially in terms of collaboration with cross-functional teams.
How to prepare for a job interview at X4 Technology
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure Machine Learning and M365 Copilot during the interview. Be prepared to discuss specific projects where you've developed or deployed AI models, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since you'll need to explain complex AI concepts to non-technical stakeholders, practice simplifying your explanations. Use relatable examples to illustrate how your work can enhance user productivity and business outcomes.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in AI and cloud computing. Being able to discuss recent trends or innovations can show your passion for the field and your commitment to continuous learning.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially in relation to deploying and scaling AI models. Think of scenarios where you had to troubleshoot issues or optimise systems, and be ready to share your thought process.
