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For Companies At a Glance
- Tasks: Design and implement AI solutions, collaborating with clients to tackle business challenges.
- Company: Join a top Microsoft Solution Partner known for cutting-edge AI-driven solutions.
- Benefits: Enjoy flexible remote work, professional growth opportunities, and a collaborative team culture.
- Why this job: Be part of an innovative team working on exciting Gen AI projects with top-tier clients.
- Qualifications: Experience with Generative AI models, programming in Python, and knowledge of data engineering processes.
- Other info: This role is fully remote but must be based in the UK.
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 how you would approach collaboration with clients to identify their business needs. Think of specific examples where you've successfully translated technical solutions into business value, as this aligns with the key responsibilities of the role.
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 experience with Generative AI models, programming languages like Python, and any relevant projects. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention specific experiences where you've successfully implemented AI solutions or collaborated on projects that required innovative thinking.
Showcase Relevant Projects: If you have worked on any AI-driven projects, include them in your application. Describe your role, the technologies used, and the impact of the project. This will help demonstrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to AI technologies, data engineering processes, and optimisation techniques. Be ready to discuss your approach to problem-solving and how you stay updated with industry advancements.
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, expect to be presented with hypothetical business challenges. Practice articulating how you would approach these problems using AI-driven solutions. Highlight your ability to collaborate with clients to identify their needs and tailor solutions accordingly.
✨Familiarise Yourself with Azure
Since the company is a Microsoft Solution Partner, having a solid understanding of Azure services is crucial. Be ready to discuss your experience with Azure, particularly in deploying AI models and optimising their performance in production environments.
✨Prepare for Technical Questions
Expect technical questions related to programming languages like Python, R, and Java. Brush up on data engineering processes, optimisation techniques, and design patterns for large data solutions. Being able to explain your thought process clearly will impress the interviewers.
