At a Glance
- Tasks: Develop AI solutions using Azure technologies and collaborate with a diverse team.
- Company: Join EBRD, a leader in promoting inclusivity and sustainability.
- Benefits: Enjoy competitive benefits and a focus on employee wellbeing.
- Other info: Great opportunity for career growth in a dynamic tech landscape.
- Why this job: Make a real impact in AI while working in an inclusive environment.
- Qualifications: Passion for AI and experience with software development.
The predicted salary is between 60000 - 80000 £ per year.
The European Bank for Reconstruction and Development (“the EBRD” or “the Bank”) is undertaking an Operational Effectiveness and Efficiency (‘OE). The role involves:
- Developing solutions using Azure AI Prompt Flow.
- Setting up and developing data ingestion pipelines and components; designing and developing efficient ingestion methodologies.
- Developing search-related components using Azure AI Search (Vector Store).
- Developing and deploying AI/ML models on Azure technologies for business teams.
- Working closely with MLOps engineers to integrate MLOps practices into the existing development lifecycle.
- Collaborating with AI Engineers, MLOps Engineers, Data Scientists and Business stakeholders to understand deployment, networking and security requirements in helping design effective AI solutions for the projects.
- Providing technical expertise in designing, developing and implementing AI-powered applications.
- Developing unit tests, automated regression packs and helping set up model evaluation test packs.
- Building and maintaining scalable, high-performance AI apps on the Azure platform.
- Staying current with industry trends and best practices in AI technology and recommending innovative solutions to enhance business operations.
- Conducting thorough testing and validation of AI models to ensure accuracy and reliability.
- Documenting and communicating AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively.
- Developing and implementing automated testing frameworks for machine learning models to ensure their ongoing accuracy and reliability.
- Documenting AI development processes and procedures for efficient knowledge transfer and maintainability.
The EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, gender identity, sexual orientation, age, socio-economic background or disability.
Intern, AI Engineer employer: EBRD
The EBRD is an exceptional employer that champions inclusivity and diversity, making it a welcoming workplace for all individuals. Located in London, the Bank offers a supportive environment focused on employee wellbeing, sustainability, and digital transformation, alongside a comprehensive suite of competitive benefits. As an intern, you will have the opportunity to collaborate with industry experts, gain hands-on experience in AI technologies, and contribute to meaningful projects that drive positive change.
StudySmarter Expert Advice🤫
We think this is how you could land Intern, AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those connected to EBRD. Use platforms like LinkedIn to connect and engage with professionals who can give you insights or even refer you.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you can talk confidently about Azure technologies and AI concepts. Practise common interview questions and have examples ready that showcase your problem-solving abilities.
✨Tip Number 3
Show your passion for AI! During interviews, share your personal projects or any relevant experience. This not only demonstrates your skills but also your enthusiasm for the field, which is super important to employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Intern, AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Engineer Intern. Highlight relevant skills and experiences that align with the job description, especially those related to Azure technologies and AI development.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the EBRD. Don’t forget to mention your enthusiasm for working in an inclusive environment.
Showcase Your Projects:If you've worked on any AI or machine learning projects, make sure to include them in your application. Whether it's a personal project or something from your studies, demonstrating your hands-on experience can really set you apart.
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets seen by the right people at EBRD!
How to prepare for a job interview at EBRD
✨Know Your Tech
Make sure you brush up on Azure AI technologies and the specific tools mentioned in the job description. Familiarise yourself with Azure AI Prompt Flow, data ingestion pipelines, and MLOps practices. Being able to discuss these topics confidently will show that you're serious about the role.
✨Show Your Collaborative Spirit
The EBRD values teamwork, so be prepared to talk about your experiences working with others, especially in tech environments. Think of examples where you've collaborated with engineers or data scientists to solve problems or develop solutions. This will highlight your ability to fit into their inclusive culture.
✨Prepare for Technical Questions
Expect some technical questions during your interview. Brush up on your knowledge of AI/ML models, automated testing frameworks, and how to ensure model accuracy. Practising coding challenges or discussing past projects can help you articulate your thought process clearly.
✨Communicate Clearly
Since you'll need to document and communicate AI solutions to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between tech and business, which is crucial for this role.
