MSD Senior Specialist AI Engineering 

Singapore, Singapore 

139893941

Job Description

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 strategicdecision-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.

• 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, andBioinformatics.

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 projectssimultaneously.

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

Artificial Intelligence (AI)

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