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AI & ML Engineer (NLP)

The AI/ML Engineer (NLP) will be part of a global Artificial Intelligence organization in Singapore, focusing on delivering enterprise Natural Language Processing projects and solutions. This role involves technical pilots, knowledge sharing, and contributing to the AI and data science maturity within the company, requiring strong skills in Python, NLP libraries, and deep learning frameworks.

About the role

About the Role

This is an opportunity to be a part of a global Artificial Intelligence organization based in Singapore. The IT team operates as a business partner, proposing ideas and innovative solutions to enable new organizational capabilities. They collaborate internationally to deliver services and solutions that enhance productivity and enable innovation. This role offers the chance to work on global teams, identifying and tackling opportunities and challenges at the intersection of healthcare, information, and technology, with project-based rotations for professional development in a flat, collaborative environment.

What You Will Do

Deliver enterprise Natural Language Processing projects and assets, including products, platforms, and solutions, with a focus on maximizing reuse.
Work on technical pilots and feasibility studies for new value creation opportunities, transitioning successful pilots to scalable production implementations.
Participate in internal professional communities of practice and mentor colleagues to raise AI and data science maturity within the company.
Assist in technical training to upskill colleagues and enhance data science competency levels within the company.

Education Minimum Requirement

Bachelors, Masters, or PhD in Artificial Intelligence, Machine Learning, Computer Science, or Natural Language Processing is highly preferred.
Qualifications in quantitative, scientific, and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, and Bioinformatics are also appreciated.

Required Experience And Skills

Candidates should combine technical depth with the ability to work collaboratively and create impact.
Graduates or 1+ years of relevant working experience in fields related to artificial intelligence, machine learning, data science, or software engineering.
Understanding of the artificial intelligence research landscape in Natural Language Processing and the ability to review research publications.
Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial, and corporate functions is highly regarded.
Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity.
Hands-on code development experience and familiarity with the Python scientific computing stacks.
Knowledge of Natural Language Processing techniques and models across syntax and semantics, as well as usage of common NLP libraries (e.g., NLTK, Spacy).
Knowledge of transformer-based models and experience with deep learning frameworks such as TensorFlow, PyTorch is a plus.
Proficient in working with both structured and unstructured data with an emphasis on natural language.
Familiarity with developing and deploying within a cloud-based infrastructure and services environment is a plus.
Full stack web application development and UX experience and understanding are non-essential but a plus.

About the role

About the Role

What You Will Do

Deliver enterprise Natural Language Processing projects and assets, including products, platforms, and solutions, with a focus on maximizing reuse.
Work on technical pilots and feasibility studies for new value creation opportunities, transitioning successful pilots to scalable production implementations.
Participate in internal professional communities of practice and mentor colleagues to raise AI and data science maturity within the company.
Assist in technical training to upskill colleagues and enhance data science competency levels within the company.

Education Minimum Requirement

Bachelors, Masters, or PhD in Artificial Intelligence, Machine Learning, Computer Science, or Natural Language Processing is highly preferred.
Qualifications in quantitative, scientific, and technology disciplines such as Mathematics, Statistics, Data Science, Analytics, Physics, and Bioinformatics are also appreciated.

Required Experience And Skills

Candidates should combine technical depth with the ability to work collaboratively and create impact.
Graduates or 1+ years of relevant working experience in fields related to artificial intelligence, machine learning, data science, or software engineering.
Understanding of the artificial intelligence research landscape in Natural Language Processing and the ability to review research publications.
Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial, and corporate functions is highly regarded.
Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity.
Hands-on code development experience and familiarity with the Python scientific computing stacks.
Knowledge of Natural Language Processing techniques and models across syntax and semantics, as well as usage of common NLP libraries (e.g., NLTK, Spacy).
Knowledge of transformer-based models and experience with deep learning frameworks such as TensorFlow, PyTorch is a plus.
Proficient in working with both structured and unstructured data with an emphasis on natural language.
Familiarity with developing and deploying within a cloud-based infrastructure and services environment is a plus.
Full stack web application development and UX experience and understanding are non-essential but a plus.