Senior Specialist, AI Engineering

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

This company is a leading global biopharmaceutical company focused on the research, development, and commercialization of innovative health solutions.

Senior Specialist, AI Engineering

Key Responsibilities:

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

Education:

Candidates are evaluated case-by-case but appreciate qualifications in quantitative, scientific, and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, and Bioinformatics.

Requirements:

• 4+ 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 Restful APIs for AI models.
• Experience in designing scalable AI Solutions
• Solid understanding of machine learning concepts (i.e., neural networks, optimization algorithms, evaluation metrics).
• Familiar with Retrieval Augmented Generation (RAG) techniques
• Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
• Excellent communication and collaboration skills.
• Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.

Preferred:

• Experience working in an Agile Methodology.
• Additional programing languages such as Node.js / TypeScript, C#, or Java
• Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
• Experience with AWS Cloud.
• Experience with building, deploying, and managing docker images.

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. Users must click to apply, redirecting to the employer’s career page.
4. No Liability: SpringCube is not liable for inaccuracies.