AI Scientist

V4 IMPACT PTE. LTD.; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

V4 IMPACT PTE. LTD. seeks a highly skilled AIScientist to research, design, develop, and deploy advanced AI/ML solutions to solve complex business problems in Singapore.

The ideal candidate will master machine learning, deep learning, statistical modeling, generative AI, and LLMs, translating research concepts into scalable, production-ready AI applications while collaborating with data scientists, software engineers, and business stakeholders to drive AI innovation and measurable business value.

Qualifications

• Strong expertise in ML, DL, statistical modeling and generative AI.
• Experience translating research concepts into production-ready AI applications.
• Ability to collaborate with data scientists, software engineers, product managers and business stakeholders.

Responsibilities

• Support the production of scalable and optimised AI/ML models.
• Build algorithms for extraction, transformation and loading of large volumes of real-time, unstructured data.
• Run experiments to test model performance and resolve issues in the pipeline.
• Collaborate with teams to apply statistics, scripting and programming languages as required.
• Work with deployment platforms and models in production systems.
• Build proofs-of-concept and prototypes to evaluate AI feasibility.
• Perform data analysis, feature engineering, model evaluation, and statistical experiments.
• Develop model evaluation frameworks and benchmark AI solutions for accuracy and scalability.
• Collaborate with engineering teams to deploy AI models into production systems.
• Optimize models for inference speed and resource use.
• Apply responsible AI principles including fairness, explainability, privacy, security, and bias mitigation.
• Monitor model performance and drive continuous improvement.
• Document research findings and methodologies for technical teams and stakeholders.
• Present insights and recommendations to leadership and business stakeholders.

Skills

Machine learning

Deep learning

Statistical modeling

Generative AI

LLMs

Job description

We are seeking a highly skilled and innovative AIScientist to research, design, develop, and deploy advanced ArtificialIntelligence (AI) and Machine Learning (ML) solutions to solve complex businessproblems. The ideal candidate will have strong expertise in machine learning,deep learning, statistical modeling, generative AI, and large language models(LLMs), with the ability to translate research concepts into scalable,production-ready AI applications.

The AI Scientist will collaborate with data scientists,software engineers, product managers, and business stakeholders to drive AIinnovation, improve operational efficiency, and deliver measurable businessvalue.

Key Responsibilities

• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Build proof-of-concepts and prototypes to evaluate the feasibility and effectiveness of AI solutions.
• Perform data analysis, feature engineering, model evaluation, and statistical experimentation.
• Develop model evaluation frameworks and benchmark AI solutions for accuracy, robustness, performance, and scalability.
• Collaborate with engineering teams to deploy and integrate AI models into production systems.
• Optimize models for inference speed, computational efficiency, and resource utilization.
• Apply responsible AI principles, including fairness, explainability, privacy, security, and bias mitigation.
• Monitor model performance and implement continuous improvement strategies.
• Document research findings, methodologies, experiments, and technical specifications.
• Present technical insights and recommendations to technical teams, leadership, and business stakeholders.