Senior Specialist, AI Engineering (Hybrid)

Job Description

Job Title : Senior Specialist, AI Engineering

We are investing in ourselves to change the way our company develops and harnesses the power of Artificial Intelligence. If you're eager to spearhead groundbreaking technologies that will make a meaningful impact on people's lives within a world-renowned pharmaceutical company, then look no further, we have the perfect role for you!  

The AI Engineer will redefine what’s possible and unleash the potential of Artificial Intelligence. Reporting to the Director, Intelligence Automation & Hyperautomation within our Chief Technology Office, this position is responsible for integrating AI models into production systems to ensure seamless operation for our company. The ideal candidate is a tenacious problem solver with the keen ability to move with urgency to create sustainable solutions.   

Join our team as we pioneer innovative solutions that redefine the boundaries of pharmaceutical advancements on a global scale.

Key Responsibilities:

• Write efficient and maintainable code following best practices in software engineering. 

• Working with DevSecOps tools for deploying and versioning code. 

• Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies. 

• Collaborate with data engineers to ensure data pipeline efficiency and accuracy. 

• Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup. 

• Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models. 

• Algorithm Optimization - Optimize and fine-tune AI models for performance, scalability, and accuracy. 

• Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions. 

• Present findings and insights to stakeholders and contribute to strategic decision-making. 

• Document AI models, algorithms, and processes thoroughly. 

• Prepare technical reports and presentations to communicate results and methodologies. 

• Stay up to date with the latest advancements in AI and machine learning technologies. 

• Participate in Agile ceremonies with the team to execute on prioritized projects and features. 

• Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems. 

Minimum education required:

• Bachelor's in Engineering, Science, Mathematics or Information/Computer related field.

Required experience and skills:

• 5 years of experience in AI Engineering. 

• Strong programming skills in Python. 

• Experienced in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling. 

• Experienced with CI/CD and test-driven development 

• Experience in building …