At a Glance
- Tasks: Develop AI solutions using Azure technologies and collaborate with experts across various sectors.
- Company: Join the European Bank for Reconstruction and Development, a leader in innovation and inclusivity.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and comprehensive wellbeing support.
- Other info: Gain exposure to a wide range of industry experts and enhance your career growth.
- Why this job: Make a real impact in AI while working in a diverse and dynamic environment.
- Qualifications: Experience in AI development and a passion for collaboration and innovation.
The predicted salary is between 20000 - 30000 £ 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 environment provides you with:
- Varied, stimulating, and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public, and private sectors across the regions we invest in.
- A working culture that embraces inclusion and celebrates diversity.
- A hybrid workplace that offers flexibility to teams and individuals; based on trust, flexibility, and connectedness.
- An environment that places sustainability, equality, and digital transformation at the heart of what we do.
- A workplace that prioritises employee wellbeing and provides a comprehensive suite of competitive benefits.
Diversity is one of the Bank's core values which are at the heart of everything it does. 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.
Please note, that due to the high volume of applications received, we regret to inform you that we are unable to provide detailed feedback to candidates who have not been shortlisted for further consideration.
Intern, AI Engineer (London, GB) employer: EBRD
The European Bank for Reconstruction and Development (EBRD) is an exceptional employer, offering interns the chance to engage in meaningful work that directly impacts the regions we invest in. With a strong commitment to inclusiveness, innovation, and employee wellbeing, EBRD fosters a collaborative and diverse work culture, providing ample opportunities for professional growth and development in the dynamic field of AI engineering. Located in London, the hybrid workplace model ensures flexibility while prioritising sustainability and digital transformation, making it an ideal environment for aspiring AI engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Intern, AI Engineer (London, GB)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EBRD on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on Azure AI technologies. We want to show that you’re not just passionate but also knowledgeable about the tools you'll be using as an AI Engineer.
✨Tip Number 3
Practice common interview questions related to AI and machine learning. We can help you with mock interviews to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Intern, AI Engineer (London, GB)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your relevant skills and experiences that align with the job description, especially around Azure technologies and AI solutions.
Showcase Your Projects:If you've worked on any AI or machine learning projects, don’t hold back! Include links or descriptions of your work to demonstrate your hands-on experience and technical expertise.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to communicate your ideas and avoid jargon unless it's necessary. We want to see your thought process without getting lost in complex terms!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it’s super easy to do!
How to prepare for a job interview at EBRD
✨Know Your Tech
Make sure you brush up on Azure AI technologies, especially Prompt Flow and Search. Familiarise yourself with how to develop data ingestion pipelines and the basics of MLOps practices. Being able to discuss these topics confidently will show your technical prowess.
✨Showcase Collaboration Skills
Since the role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with engineers or data scientists to solve problems or develop solutions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in AI model testing and validation. Think of specific challenges you've faced in previous projects and how you overcame them, especially in relation to AI applications.
✨Emphasise Your Values
The EBRD values inclusiveness, innovation, trust, and responsibility. Be ready to discuss how you embody these values in your work. Share instances where you’ve acted decisively or simplified processes to enhance efficiency, aligning your experiences with their workplace behaviours.
