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Specialist, AI Engineering

2 months ago

Mastic Beach, United States MyCareersFuture Full time

Roles & Responsibilities

Job Title : Specialist, AI Engineering

Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statistas list of Best Employers in Singapore for two consecutive years (2020, 2021).
Join the premier biopharmaceutical company that has been in Singapore for more than 25 years and in AP for over 60 years.

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 whats possible and unleash the potential of Artificial Intelligence. Reporting to the Director of Engineering in Hyperautomation & AI 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.

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:

· 2+ 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

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us and start making your impact today.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anothers thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.