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For Companies At a Glance
- Tasks: Design and implement AI solutions while collaborating with clients and optimising performance.
- Company: Join a top Microsoft Solution Partner known for cutting-edge AI-driven solutions and rapid growth.
- Benefits: Enjoy flexible remote work, professional development, and a collaborative team culture.
- Why this job: Be part of innovative projects that shape the future of technology and drive business success.
- Qualifications: Experience with Generative AI models, programming in Python, and a background in data science is preferred.
- Other info: This role offers a unique chance to future-proof your tech career in a leading company.
The predicted salary is between 43200 - 72000 £ per year.
This is a unique and rare opportunity to join one of the UK's top Microsoft Solution Partners, delivering cutting edge AI-driven solutions. If you want to future proof your tech career, this is the move!
Why they’re best in the business?
- Azure Expert MSP, Azure and Data + AI Solutions Partner with 15 Advanced Specialisations
- 25%+ YoY recurring revenue growth
- Top 10 "Best Tech companies to work for" in the UK
So what’s the role...?
As a Gen AI Engineer, you will play a key role in designing, implementing, and optimising AI solutions for clients. Working as part of an agile team, you will provide expert guidance, leveraging AI technologies to drive innovation and business success. You will collaborate with stakeholders to understand business needs, develop AI models, and ensure seamless deployment and integration.
Key Responsibilities
- Collaborate with clients to identify business challenges and opportunities for Gen AI-driven solutions.
- Design, develop, and deploy AI models and algorithms tailored to client needs.
- Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision.
- Conduct data analysis and pre-processing to prepare datasets for AI model training.
- Implement AI models into production environments and optimize their performance.
- Monitor and evaluate AI models, making necessary improvements based on real-world performance.
- Deliver training and support to clients on AI tools, best practices, and deployment strategies.
- Stay up to date with the latest advancements in AI, data science, and cloud technologies.
Skills & Experience Required
- Hands-on experience with Generative AI models or large language models (LLMs), including training, fine-tuning, and prompt engineering.
- Proficiency in programming languages such as Python, R, and Java. (Python is a must have!)
- Strong knowledge of data engineering processes (data cleaning, feature engineering, and integration).
- Ability to work independently and as part of a dynamic team.
- Experience with Microsoft Azure
- Good knowledge of optimisation techniques and design patterns for large data solutions.
- A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!)
What’s in It for You?
- Flexible remote working, must be UK based.
- Work on cutting-edge Gen AI projects with top-tier clients
- Professional development and growth opportunities (Your growth is directly linked to the growth of the practice)
- Collaborative and inclusive team culture
If you’re passionate about Generative AI and want to be part of an innovative, forward-thinking team, apply today!
Gen AI Engineer employer: Cloud Decisions
Contact Detail:
Cloud Decisions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and large language models. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Showcase your hands-on experience with AI technologies by preparing examples of projects you've worked on. Be ready to explain your role, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Network with professionals in the AI field, especially those who work with Microsoft Azure. Engaging with industry peers can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your approach to collaboration and teamwork, as this role involves working closely with clients and stakeholders. Highlight any past experiences where you successfully collaborated on AI projects to demonstrate your ability to thrive in a team environment.
We think you need these skills to ace Gen AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Generative AI models and programming languages like Python. Emphasise any relevant projects or roles that showcase your skills in AI technologies, data engineering, and collaboration.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Generative AI and how it aligns with the company's mission. Mention specific examples of how you've successfully designed and implemented AI solutions in previous roles, and demonstrate your understanding of the company's values and goals.
Showcase Relevant Skills: Highlight your proficiency in machine learning, natural language processing, and data analysis. Be sure to mention any experience you have with Microsoft Azure and optimisation techniques, as these are key requirements for the role.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a technical role like this.
How to prepare for a job interview at Cloud Decisions
✨Showcase Your AI Knowledge
Make sure to brush up on the latest advancements in Generative AI, machine learning, and natural language processing. Be prepared to discuss specific projects you've worked on, especially those involving large language models, as this will demonstrate your hands-on experience.
✨Demonstrate Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to AI solutions. This will allow you to showcase your ability to identify business challenges and propose innovative Gen AI-driven solutions.
✨Highlight Your Technical Proficiency
Since programming skills are crucial for this role, ensure you can discuss your experience with Python, R, and Java confidently. You might even want to prepare for technical questions or coding challenges that could come up during the interview.
✨Emphasise Team Collaboration
As the role involves working within an agile team, share examples of how you've successfully collaborated with others in past projects. Highlight your ability to communicate effectively with stakeholders and your experience in delivering training and support.
