- Toa Payoh Central Region (Singapore) Singapore
Kerja Sepenuh Masa AI-ML Engineer (Agentic AI - Data Science) – 12-Month Contract | Banking Client | MBFC, Gaji tinggi SGD 7,500 di NTT SINGAPORE PTE. LTD. Central Region (Singapore) - Maukerja
AI-ML Engineer (Agentic AI - Data Science) – 12-Month Contract | Banking Client | MBFC
NTT SINGAPORE PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Employer:
NTT Singapore Pte. Ltd.
Employment Type:
12-month contract, renewable subject to performance and business requirements.
Work Location:
MBFC , Singapore
Client Industry:
Banking / Financial Services
Please apply only if you are comfortable with a
12-month contract, renewable subject to performance and business requirements.
based in MBFC
About the Role
We are seeking an AI/ML Engineer with strong Data Science and Generative AI capabilities to design, develop and deploy AI solutions supporting a banking client’s Global Financial Markets business.
The role covers Agentic AI platforms, recommendation engines, retrieval systems and predictive models for market intelligence, product recommendations, client engagement, workflow automation and knowledge management.
You will collaborate with business stakeholders, product owners, data scientists and software engineers to deliver scalable, production-ready AI solutions.
Key Responsibilities
Generative AI and Agentic AI
Design and develop AI agents using Dify and modern Agentic AI frameworks.
Build and optimise RAG solutions, including document ingestion, embeddings, vector search, retrieval and reranking.
Develop agent orchestration workflows and integrate tools, APIs and enterprise data sources.
Implement prompt engineering, evaluation, reflection, memory and state management.
Develop reusable AI components for multiple business use cases.
Machine Learning and Data Science
Develop models for client propensity prediction, recommendations, classification, ranking, behavioural analytics and next-best-action recommendations.
Perform exploratory data analysis, feature engineering, model training and evaluation.
Analyse structured and unstructured datasets to generate actionable business insights.
Monitor model performance and improve accuracy, relevance and reliability.
Application Development and Deployment
Build production-ready AI services and REST APIs using Python.
Integrate AI applications with enterprise systems and knowledge repositories.
Develop data pipelines, transformations and data quality controls.
Deploy and operate AI services using OpenShift/OCP, Docker and Kubernetes.
Implement CI/CD pipelines, monitoring, observability and evaluation frameworks.
Optimise performance, scalability and infrastructure costs.
Maintain technical documentation and collaborate with stakeholders throughout delivery.
Required Qualifications and Experience
Relevant experience in AI Engineering, Machine Learning Engineering, Data Science or Advanced Analytics.
Hands-on experience building and deploying AI or ML solutions into production.
Strong Python programming skills, with practical SQL and REST API experience.
Experience with Scikit-learn, XGBoost/LightGBM, and TensorFlow or PyTorch.
Hands-on experience in all five mandatory Generative AI areas: RAG, vector search, LLM applications, Dify and Agentic AI frameworks.
Knowledge of data pipelines, data transformation, feature engineering and data quality management.
Experience with OpenShift/OCP, Docker, Kubernetes, CI/CD pipelines and Git.
Ability to translate business requirements into technical solutions and communicate clearly with business and engineering teams.
Preferred Experience
Banking, financial services, capital markets or wealth management.
Recommendation engines, personalisation and next-best-action solutions.
Search, retrieval and enterprise knowledge management platforms.
MLOps, LLMOps and AI governance.
Unstructured document repositories and enterprise knowledge sources.
Interested candidates are kindly requested to email their CV with their experience to
*************
We look forward to your application!
NTT Singapore Pte Ltd (NTTS)
is the regional headquarters of NTT Communications Corporation (NTT Com) for Asia Pacific Region.
Established in 1997, NTT Singapore has more than 10 years of expertise in providing information and communications technology (ICT) solutions worldwide.
NTT Singapore offers diverse high-quality connectivity, data centre solutions, security services, IT management services, voice and conferencing solutions and solution integration services to its enterprise customers.
NTT Communications is a wholly owned subsidiary of Nippon Telegraph and Telephone Corporation (NTT Corp.), one of the world’s largest providers of telecommunications services.
In 2013, NTT Corp. is ranked no.1 in telecom industry in the Fortune Global 500* list with operating revenues of more than $133,077 million. It is positioned 32nd among the top 500 corporations worldwide.
NTT Com's extensive global infrastructure includes Arcstar secure private networks, which cover 196 countries/regions and a tier-1 IP backbone network connected with major ISPs worldwide, as well as secure data centers at over 150 locations worldwide.
NTT Singapore Pte. Ltd.
Employment Type:
12-month contract, renewable subject to performance and business requirements.
Work Location:
MBFC , Singapore
Client Industry:
Banking / Financial Services
Please apply only if you are comfortable with a
12-month contract, renewable subject to performance and business requirements.
based in MBFC
About the Role
We are seeking an AI/ML Engineer with strong Data Science and Generative AI capabilities to design, develop and deploy AI solutions supporting a banking client’s Global Financial Markets business.
The role covers Agentic AI platforms, recommendation engines, retrieval systems and predictive models for market intelligence, product recommendations, client engagement, workflow automation and knowledge management.
You will collaborate with business stakeholders, product owners, data scientists and software engineers to deliver scalable, production-ready AI solutions.
Key Responsibilities
Generative AI and Agentic AI
Design and develop AI agents using Dify and modern Agentic AI frameworks.
Build and optimise RAG solutions, including document ingestion, embeddings, vector search, retrieval and reranking.
Develop agent orchestration workflows and integrate tools, APIs and enterprise data sources.
Implement prompt engineering, evaluation, reflection, memory and state management.
Develop reusable AI components for multiple business use cases.
Machine Learning and Data Science
Develop models for client propensity prediction, recommendations, classification, ranking, behavioural analytics and next-best-action recommendations.
Perform exploratory data analysis, feature engineering, model training and evaluation.
Analyse structured and unstructured datasets to generate actionable business insights.
Monitor model performance and improve accuracy, relevance and reliability.
Application Development and Deployment
Build production-ready AI services and REST APIs using Python.
Integrate AI applications with enterprise systems and knowledge repositories.
Develop data pipelines, transformations and data quality controls.
Deploy and operate AI services using OpenShift/OCP, Docker and Kubernetes.
Implement CI/CD pipelines, monitoring, observability and evaluation frameworks.
Optimise performance, scalability and infrastructure costs.
Maintain technical documentation and collaborate with stakeholders throughout delivery.
Required Qualifications and Experience
Relevant experience in AI Engineering, Machine Learning Engineering, Data Science or Advanced Analytics.
Hands-on experience building and deploying AI or ML solutions into production.
Strong Python programming skills, with practical SQL and REST API experience.
Experience with Scikit-learn, XGBoost/LightGBM, and TensorFlow or PyTorch.
Hands-on experience in all five mandatory Generative AI areas: RAG, vector search, LLM applications, Dify and Agentic AI frameworks.
Knowledge of data pipelines, data transformation, feature engineering and data quality management.
Experience with OpenShift/OCP, Docker, Kubernetes, CI/CD pipelines and Git.
Ability to translate business requirements into technical solutions and communicate clearly with business and engineering teams.
Preferred Experience
Banking, financial services, capital markets or wealth management.
Recommendation engines, personalisation and next-best-action solutions.
Search, retrieval and enterprise knowledge management platforms.
MLOps, LLMOps and AI governance.
Unstructured document repositories and enterprise knowledge sources.
Interested candidates are kindly requested to email their CV with their experience to
*************
We look forward to your application!
NTT Singapore Pte Ltd (NTTS)
is the regional headquarters of NTT Communications Corporation (NTT Com) for Asia Pacific Region.
Established in 1997, NTT Singapore has more than 10 years of expertise in providing information and communications technology (ICT) solutions worldwide.
NTT Singapore offers diverse high-quality connectivity, data centre solutions, security services, IT management services, voice and conferencing solutions and solution integration services to its enterprise customers.
NTT Communications is a wholly owned subsidiary of Nippon Telegraph and Telephone Corporation (NTT Corp.), one of the world’s largest providers of telecommunications services.
In 2013, NTT Corp. is ranked no.1 in telecom industry in the Fortune Global 500* list with operating revenues of more than $133,077 million. It is positioned 32nd among the top 500 corporations worldwide.
NTT Com's extensive global infrastructure includes Arcstar secure private networks, which cover 196 countries/regions and a tier-1 IP backbone network connected with major ISPs worldwide, as well as secure data centers at over 150 locations worldwide.
Peringatan Penting
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