At a Glance
- Tasks: Refine metadata and support AI/ML applications to enhance performance.
- Company: Join IQVIA’s Applied Data Science Centre, a leader in AI engineering.
- Benefits: Access advanced tech, flexible work, competitive salary, and continuous learning.
- Other info: Great career growth opportunities and support for further education.
- Why this job: Make an impact in AI/ML while collaborating with top experts.
- Qualifications: Experience in data engineering and AI/ML projects required.
The predicted salary is between 60000 - 80000 € per year.
With IQVIA’s Applied Data Science Centre, the AI Science Consultant is an AI engineering-focused role dedicated to the development and optimisation of artificial intelligence and machine learning (AI/ML) applications. The role places a strong emphasis on refining metadata to enhance model performance and providing AI engineering support for large language model (LLM) based solutions.
Key Responsibilities
- Refine and manage metadata to improve the performance of AI/ML models.
- Provide AI engineering support for LLM-based applications, including prompt engineering, retrieval-augmented generation, and model fine-tuning.
- Collaborate with cross-functional teams to deliver robust and scalable AI/ML solutions.
Essential Skills and Experience
- Proven experience as a Data Engineer, ideally within the context of AI/ML projects.
- Demonstrated expertise in metadata refinement to boost AI/ML application performance.
- Hands-on experience in AI engineering for LLM-based applications, including prompt engineering, retrieval-augmented generation, context engineering and model fine-tuning.
Key Benefits
- Access to advanced technology and resources for AI and machine learning.
- Collaborative and inclusive work environment with leading experts in AI engineering.
- Opportunities for continuous learning and professional development through training, conferences, and mentorship programmes.
- Flexible working arrangements to support work-life balance.
- Competitive salary and comprehensive benefits package.
Career Growth Opportunities
- Exposure to innovative projects and the opportunity to contribute to the advancement of AI/ML technologies, with career progression pathways within the AI and data science teams.
- Potential to take on leadership roles in project delivery and technical strategy.
- Support for pursuing certifications and further education relevant to AI engineering and data science.
AI Science Consultant employer: IQVIA
At IQVIA, we pride ourselves on being an exceptional employer, particularly for the AI Science Consultant role within our Applied Data Science Centre. Our collaborative and inclusive work culture fosters innovation and creativity, while our commitment to continuous learning ensures that employees have access to advanced technology, mentorship programmes, and career growth opportunities in the rapidly evolving field of AI and machine learning. With flexible working arrangements and a competitive benefits package, we provide a supportive environment where you can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land AI Science Consultant
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving metadata refinement and LLM applications. We want to see what you can do, so make it easy for potential employers to be impressed!
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. We recommend practising with friends or using mock interview platforms. The more comfortable you are, the better you’ll perform!
✨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, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Science Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Science Consultant role. Highlight your experience with AI/ML projects and metadata refinement, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI engineering and how your background makes you a great fit for our team. Don't forget to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills:In your application, be sure to highlight your hands-on experience with LLM-based applications and any specific tools or technologies you've used. We love seeing concrete examples of your work, so feel free to include links to projects or GitHub repositories if applicable!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at IQVIA
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially around metadata refinement and LLM applications. Be ready to discuss specific projects you've worked on and how you tackled challenges in those areas.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success in AI/ML projects.
✨Prepare for Technical Questions
Expect some technical questions related to prompt engineering, retrieval-augmented generation, and model fine-tuning. Brush up on these topics and think about how you can explain complex concepts in a simple way during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current AI projects or how they support continuous learning and professional development for their employees.
