AI Science Consultant
Indexed description
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.
- 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.
- 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.
- Exposure to innovative projects and the opportunity to contribute to the advancement of AIML 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.
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
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