MSD Spclst AI Engineering 

Singapore, Singapore 

975680855

Job Description

the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for two consecutive years (2020, 2021).
• Join the

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.

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:

• + years of experience in AI Engineering.

• Strong programming skills in Python.

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

• Familiar with CI/CD and test-driven development

• Experience in building Restful APIs for AI models.

• Familiar with 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.

• Strong 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.

What we look for…

Current Contingent Workers apply

AI Systems, Artificial Intelligence (AI), Machine Learning, Python (Programming Language), Software Development, Software Development Life Cycle (SDLC), Testing

AWS Cloud Computing, Computer Science

*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.

A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.