676 Ml Engineer jobs in Singapore

Job Summary

This role focuses on building and deploying cutting-edge GenAI and Language AI capabilities to enhance the media content discovery and consumption experience across a global, multilingual user base. The engineer will work on LLMs, agentic workflows, and production-level ML systems, collaborating across a multi-disciplinary team and deploying to millions of users across various platforms.

Key Responsibilities

• Design, develop, and maintain Language AI capabilities to support, understand, and grow global markets for a variety of digital services.
• Work on innovative projects to help users discover and engage with media content through advanced content intelligence.
• Contribute to next-generation Generative AI features across devices and platforms, supporting millions of users and billions of interactions.
• Enhance content discovery and consumption experience through machine learning solutions.
• Deploy features, code, data, and models into production environments.
• Collaborate closely with world-class engineers, researchers, and analysts to ensure the quality and performance of deployed models.
• Deliver solutions that support millions of devices globally, across operating systems such as mobile, desktop, smart TVs, wearables, and voice assistants.
• Ensure language coverage across a wide variety of regions and cultures.

Key Qualifications

• 2+ years of relevant industry experience
• Strong programming skills in Python
• Hands-on experience building Agentic workflows and GenAI applications
• Experience with Machine Learning techniques and related project work
• A genuine passion for building high-impact user experiences

We regret to inform that only shortlisted candidates will be notified / contacted.

EA Registration No.: FOO CHONG YUAN AARON, R

Allegis Group Singapore Pte Ltd, Company Reg No. N, EA License No. 10C4544

Responsibilities:

• Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.
• Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.

Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. An equivalent combination of education and experience will also be considered.
• Experience: At least 2 years' experience working in a similar role. Hands-on experience in designing, developing, and deploying machine learning models in real-world applications.
• Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with working on Large Language Models and Generative AI technology is a plus.

Technical skills:

• Strong programming skills in languages such as Python.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn etc.
• Solid understanding of Statistical Analysis, Probability Theory, and Hypothesis Testing.
• Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
• Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into solvable components, and develop innovative machine learning solutions. Strong mathematical and analytical skills are essential.
• Communication and collaboration: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Proven ability to work collaboratively in a team environment and effectively manage multiple priorities.
• Adaptability and continuous learning: Willingness to adapt to evolving technologies and learn new tools and techniques. Demonstrated commitment to staying updated with the latest advancements in machine learning and artificial intelligence.

Location: Ang Mo Kio

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to for immediate processing.

(EA Reg No: 20C0312)

Join to apply for the
AI/ML Engineer
role at
TEKsystems .
This role focuses on building and deploying cutting-edge GenAI and Language AI capabilities to enhance the media content discovery and consumption experience across a global, multilingual user base. The engineer will work on LLMs, agentic workflows, and production-level ML systems, collaborating across a multi-disciplinary team and deploying to millions of users across various platforms.
Key Responsibilities
Design, develop, and maintain Language AI capabilities to support, understand, and grow global markets for a variety of digital services.
Work on innovative projects to help users discover and engage with media content through advanced content intelligence.
Contribute to next-generation Generative AI features across devices and platforms, supporting millions of users and billions of interactions.
Enhance content discovery and consumption experience through machine learning solutions.
Deploy features, code, data, and models into production environments.
Collaborate closely with world-class engineers, researchers, and analysts to ensure the quality and performance of deployed models.
Deliver solutions that support millions of devices globally, across operating systems such as mobile, desktop, smart TVs, wearables, and voice assistants.
Ensure language coverage across a wide variety of regions and cultures.
Key Qualifications
2+ years of relevant industry experience
Strong programming skills in Python
Hands-on experience building Agentic workflows and GenAI applications
Experience with Machine Learning techniques and related project work
A genuine passion for building high-impact user experiences
We regret to inform that only shortlisted candidates will be notified / contacted.
EA Registration No.: FOO CHONG YUAN AARON, R
Allegis Group Singapore Pte Ltd, Company Reg No. N, EA License No. 10C4544
Seniority level
Not Applicable
Employment type
Contract
Job function
Engineering and Information Technology
Referrals increase your chances of interviewing at TEKsystems by 2x
Get notified about new Machine Learning Engineer jobs in
Singapore, Singapore .
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As an AI/ML Engineer in the AI Development Group, you will work on the rapid prototyping, development, and integration of AI capabilities across Certis’ current and next-generation technology platforms. This role is pivotal in advancing Certis’ AI adoption journey, making AI a core driver of innovation and operational excellence. You will work closely with cross-functional teams to explore, experiment, and productize AI solutions, embedding advanced AI technologies into Certis’ software and hardware ecosystems to enhance security, automation, and operational intelligence.
What You'll Do
Contribute to the prototyping and development of AI solutions that strengthen Certis’ products and operations.
Support the integration of AI technologies into existing and new software platforms to improve efficiency, scalability, and intelligence.
Collaborate with data engineers, software developers, and product teams to build, train, and deploy machine learning models.
Develop and maintain clean, reusable, and efficient AI/ML code and components.
Participate in data preparation, model evaluation, and performance tuning activities.
Ensure AI models and systems meet security, compliance, and data privacy requirements.
Stay updated on emerging AI technologies and contribute to the continuous improvement of AI practices within the team.
What We're Looking For
3–6 years of experience in software development, with hands-on exposure to AI, machine learning, or deep learning technologies.
Experience in building or integrating AI solutions within enterprise or product environments.
Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proficiency in programming languages such as Python, Java, or C++.
Understanding of data engineering concepts and ML model lifecycle management.
Experience with cloud-based AI/ML services (AWS preferred).
Strong analytical and problem-solving skills, with attention to detail and quality.
Collaborative mindset with the ability to work effectively in cross-functional teams.
Why Join Us?
Unlock Your Growth Potential:
Benefit from unparalleled support for your professional development with Certis Corporate University, the first of its kind in Asia.
Empower Change:
Make a lasting impact through innovative initiatives that transform local communities and global industries.
Join a Culture of Innovation:
Be a part of our team of innovators, working together to drive technological advancements towards a
Safer, Smarter, And Better
tomorrow for all.
Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Professional Services
#J-18808-Ljbffr

JOB SUMMARY
As a Prompt Engineer your responsibilities include working with our content creators, product teams and data scientists to develop and refine prompts, optimizing prompt performance and staying up-to-date on the latest advancements in AI, natural language processing and machine learning.
Ultimately, you will be hands on working directly with Development teams to create and improve prompts that enable more efficient usage of Github copilot.
RESPONSIBILITIES
Rapid Prompt Developing and Refinement - Develop and refine prompts to achieve specific coding goals, such as generating code snippets, fixing bugs, or writing unit tests.
Context and Constraint Management - Understand how to provide Copilot with the necessary context (e.g., code base, language, framework) and constraints (e.g., specific libraries, coding style) to guide its suggestions.
Prompt Experimentation and Testing - Conduct experiments to evaluate different prompt strategies and identify best practices.
Prompt Documentation and Library Creation - Create and maintain a library of effective prompts or prompt chains for various tasks.
User Education and Training - Develop tutorials and resources to help developers learn and improve their prompt engineering skills.
Feedback and Iteration - Analyze Copilot's responses and identify areas for improvement, suggesting updates to the model or prompting techniques.
Team Collaboration – Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
Prompt Experiments - Conduct experiments and research to test new prompting techniques and optimize existing workflows.
Keeping ahead on Strategy - Stay up to date on the latest advancements in natural language processing (NLP) and AI, and apply those insights to your work.
Documenting to enable sharing of knowledge and Best Practices - Document and communicate your work clearly and concisely to technical and non-technical audiences for future reference.
Strategy
Supports Hive Tech Lead, Product Area Lead and Engineering in strategy of prompt engineering and roadmap and execution
Deliver outputs that make a significant contribution to the organization's strategic goals.
Partner with Strategic Partner (i.e. Microsoft and others) to determine the right solutions to business needs.
Business
Promote engineering craftmanship and focus on delivering business value.
Responsible for technical delivery and technical excellence across the squads.
Works across multiple squads or hives for delivery of complex Features, Epics & Releases.
Point of escalation for delivery issues across all impacted hives and squads.
Work with Change Delivery Manager (Release Manager) to develop delivery and release plans with technical dependencies, aligning all partners with support from the team and architect.
Exhibit passion for client experience with a user-first mindset.
Drive the domain towards future state of banking and technology.
Ensure the technical consistency of solutions in the Hive with the business architecture, technology architecture and enterprise technology standards.
Processes
Study existing engineering processes and contribute to improvements to drive up efficiencies. Present ideas across other areas and foster innovation.
Analyze, remove, or mitigate dependencies across teams to enable speed and quality of delivery.
Responsible in the preparation of production outputs and their planning in alignment to ESDLC standards.
People & Talent
Work on upskilling of technical expertise of the Engineers to enable them to become more efficient in Prompts they use day-to-day.
Mentoring and training the squad on technical skills to become good Prompt Engineers
Risk Management
Mitigate delivery risks and issues, and ensure quality, affordability, and scope of delivery.
Governance
Support the remediation of tech compliance (ESDLC) requirements through the delivery lifecycle (design reviews, security reviews, code reviews, SAT, OAT, etc.) with support from HTL(Hive Tech Lead) / PO / CPO (Chief Product Owner)
Regulatory & Business Conduct
• Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key Stakeholders
Global Head, Credit Origination Technology
FFG Technology Programme Manager
CIB DC & CP Cross Hive Tech Leads (where applicable)
Hive Tech Leads & Product Area Leads, Product Enablement
Hive Product Owner, Product Enablement
HIVE Architects
Our Ideal Candidate
This role is going to be 12months Direct Contract
10+ year Engineering experience in building data-driven applications and 2+ years as promote engineer
Proficiency in programming languages such as Python and experience with relevant libraries and frameworks.
Strong understanding of NLP concepts and techniques.
Experience working with large language models and other AI systems.
Excellent written and verbal communication skills, with a passion for language and storytelling.
Ability to think creatively and solve problems, adapting to new challenges and changing priorities.
Strong analytical skills and attention to detail to evaluate and optimize prompts.
Ability to collaborate effectively with a cross-functional team.
Familiarity with programming languages and scripting skills are a plus.
Education Bachelor’s degree in computer science, linguistics, writing, or a related field
Role Specific Technical Competencies
Full Stack/Back-End Java Engineering
Prompt Engineering
Data Engineering – Java / SQL
Data Engineering – Python / SQL
Data Science
Communication
DevOps
Problem Solving
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter,
we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance,
with flexible and voluntary benefits available in some locations.
Time-off
including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working
options based around home and office locations, with flexible working patterns.
Proactive wellbeing support
through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture
to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation,
one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Recruitment Assessments
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.
Visit our careers website
#J-18808-Ljbffr

Join to apply for the
Lead, ML Engineer
role at
Standard Chartered Singapore
Job Summary
As a Prompt Engineer your responsibilities include working with our content creators, product teams and data scientists to develop and refine prompts, optimizing prompt performance and staying up-to-date on the latest advancements in AI, natural language processing and machine learning. Ultimately, you will be hands on working directly with Development teams to create and improve prompts that enable more efficient usage of Github copilot.
Responsibilities
Rapid Prompt Developing and Refinement - Develop and refine prompts to achieve specific coding goals, such as generating code snippets, fixing bugs, or writing unit tests.
Context and Constraint Management - Understand how to provide Copilot with the necessary context (e.g., code base, language, framework) and constraints (e.g., specific libraries, coding style) to guide its suggestions.
Prompt Experimentation and Testing - Conduct experiments to evaluate different prompt strategies and identify best practices.
Prompt Documentation and Library Creation - Create and maintain a library of effective prompts or prompt chains for various tasks.
User Education and Training - Develop tutorials and resources to help developers learn and improve their prompt engineering skills.
Feedback and Iteration - Analyze Copilot's responses and identify areas for improvement, suggesting updates to the model or prompting techniques.
Team Collaborate – Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
Prompt Experiments: Conduct experiments and research to test new prompting techniques and optimize existing workflows.
Keeping ahead on Strategy: Stay up to date on the latest advancements in national language processing (NLP) and AI, and apply those insights to your work.
Documenting to enable sharing of knowledge and Best Practices - Document and communicate your work clearly and concisely to technical and non-technical audiences for future reference.
Strategy
Supports Hive Tech Lead, Product Area Lead and Engineering in strategy of prompt engineering and roadmap and execution
Deliver outputs that make a significant contribution to the organization's strategic goals.
Partner with Strategic Partner (i.e. Microsoft and others) to determine the right solutions to business needs.
Business
Promote engineering craftmanship and focus on delivering business value.
Responsible for technical delivery and technical excellence across the squads.
Works across multiple squads or hives for delivery of complex Features, Epics & Releases.
Point of escalation for delivery issues across all impacted hives and squads.
Work with Change Delivery Manager (Release Manager) to develop delivery and release plans with technical dependencies, aligning all partners with support from the team and architect.
Exhibit passion for client experience with a user-first mindset.
Drive the domain towards future state of banking and technology.
Ensure the technical consistency of solutions in the Hive with the business architecture, technology architecture and enterprise technology standards.
Processes
Study existing engineering processes and contribute to improvements to drive up efficiencies. Present ideas across other areas and foster innovation.
Analyze, remove, or mitigate dependencies across teams to enable speed and quality of delivery.
Responsible in the preparation of production outputs and their planning in alignment to ESDLC standards.
People & Talent
Work on upskilling of technical expertise of the Engineers to enable them to become more efficient in Prompts they use day-to-day.
Mentoring and training the squad on technical skills to become good Prompt Engineers
Risk Management
Mitigate delivery risks and issues, and ensure quality, affordability, and scope of delivery.
Governance
Support the remediation of tech compliance (ESDLC) requirements through the delivery lifecycle (design reviews, security reviews, code reviews, SAT, OAT, etc.) with support from HTL(Hive Tech Lead) / PO / CPO (Chief Product Owner)
Regulatory & Business Conduct
Display exemplary conduct and live by the Group’s Values and Code of Conduct.
Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key Stakeholders
Global Head, Credit Origination Technology
FFG Technology Programme Manager
CIB DC & CP Cross Hive Tech Leads (where applicable)
Hive Tech Leads & Product Area Leads, Product Enablement
Hive Product Owner, Product Enablement
HIVE Architects
Our Ideal Candidate
This role is going to be 12 months Direct Contract
10+ year Engineering experience in building data-driven applications and 2+ years as promote engineer
Proficiency in programming languages such as Python and experience with relevant libraries and frameworks.
Strong understanding of NLP concepts and techniques.
Experience working with large language models and other AI systems.
Excellent written and verbal communication skills, with a passion for language and storytelling.
Ability to think creatively and solve problems, adapting to new challenges and changing priorities.
Strong analytical skills and attention to detail to evaluate and optimize prompts.
Ability to collaborate effectively with a cross-functional team.
Familiarity with programming languages and scripting skills are a plus.
Education Bachelor’s degree in computer science, linguistics, writing, or a related field
Role Specific Technical Competencies
Full Stack/Back-End Java Engineering
Prompt Engineering
Data Engineering – Java / SQL
Data Engineering – Python / SQL
Data Science
Communication
DevOps
Problem Solving
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Together We
Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What We Offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits.
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise your full potential.
Recruitment Assessments
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.
#J-18808-Ljbffr

Press Tab to Move to Skip to Content Link
As a Prompt Engineer your responsibilities include working with our content creators, product teams and data scientists to develop and refine prompts, optimizing prompt performance and staying up-to-date on the latest advancements in AI, natural language processing and machine learning.
Ultimately, you will be hands on working directly with Development teams to create and improve prompts that enable more efficient usage of Github copilot.
Responsibilities
Rapid Prompt Developing and Refinement – develop and refine prompts to achieve specific coding goals, such as generating code snippets, fixing bugs, or writing unit tests.
Context and Constraint Management – understand how to provide Copilot with the necessary context (e.g., code base, language, framework) and constraints (e.g., specific libraries, coding style) to guide its suggestions.
Prompt Experimentation and Testing – conduct experiments to evaluate different prompt strategies and identify best practices.
Prompt Documentation and Library Creation – create and maintain a library of effective prompts or prompt chains for various tasks.
User Education and Training – develop tutorials and resources to help developers learn and improve their prompt engineering skills.
Feedback and Iteration – analyze Copilot's responses and identify areas for improvement, suggesting updates to the model or prompting techniques.
Team Collaborate – collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
Prompt Experiments – conduct experiments and research to test new prompting techniques and optimize existing workflows.
Keeping ahead on Strategy – stay up to date on the latest advancements in national language processing (NLP) and AI, and apply those insights to your work.
Documenting to enable sharing of knowledge and Best Practices – document and communicate your work clearly and concisely to technical and non-technical audiences for future reference.
Strategy
Supports Hive Tech Lead, Product Area Lead and Engineering in strategy of prompt engineering and roadmap and execution.
Deliver outputs that make a significant contribution to the organization's strategic goals.
Partner with Strategic Partner (i.e. Microsoft and others) to determine the right solutions to business needs.
Business
Promote engineering craftmanship and focus on delivering business value.
Responsible for technical delivery and technical excellence across the squads.
Works across multiple squads or hives for delivery of complex Features, Epics & Releases.
Point of escalation for delivery issues across all impacted hives and squads.
Work with Change Delivery Manager (Release Manager) to develop delivery and release plans with technical dependencies, aligning all partners with support from the team and architect.
Exhibit passion for client experience with a user-first mindset.
Drive the domain towards future state of banking and technology.
Ensure the technical consistency of solutions in the Hive with the business architecture, technology architecture and enterprise technology standards.
Processes
Study existing engineering processes and contribute to improvements to drive up efficiencies.
Analyze, remove, or mitigate dependencies across teams to enable speed and quality of delivery.
Responsible in the preparation of production outputs and their planning in alignment to ESDLC standards.
People & Talent
Work on upskilling of technical expertise of the Engineers to enable them to become more efficient in Prompts they use day-to-day.
Mentoring and training the squad on technical skills to become good Prompt Engineers.
Risk Management
Mitigate delivery risks and issues, and ensure quality, affordability, and scope of delivery.
Governance
Support the remediation of tech compliance (ESDLC) requirements through the delivery lifecycle (design reviews, security reviews, code reviews, SAT, OAT, etc.) with support from HTL (Hive Tech Lead) / PO / CPO (Chief Product Owner).
Regulatory & Business Conduct
Display exemplary conduct and live by the Group’s Values and Code of Conduct.
Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
Effectively and collaboratively identify, elevate, mitigate and resolve risk, conduct and compliance matters.
Our Ideal Candidate
This role is going to be 12 months Direct Contract.
10+ year Engineering experience in building data-driven applications and 2+ years as promote engineer.
Proficiency in programming languages such as Python and experience with relevant libraries and frameworks.
Strong understanding of NLP concepts and techniques.
Experience working with large language models and other AI systems.
Excellent written and verbal communication skills, with a passion for language and storytelling.
Ability to think creatively and solve problems, adapting to new challenges and changing priorities.
Strong analytical skills and attention to detail to evaluate and optimize prompts.
Ability to collaborate effectively with a cross-functional team.
Familiarity with programming languages and scripting skills are a plus.
Education Bachelor’s degree in computer science, linguistics, writing, or a related field.
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills,global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
Recruitment Assessments
Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.
#J-18808-Ljbffr

JOB SUMMARY

As a Prompt Engineer your responsibilities include working with our content creators, product teams and data scientists to develop and refine prompts, optimizing prompt performance and staying up-to-date on the latest advancements in AI, natural language processing and machine learning.

Ultimately, you will be hands on working directly with Development teams to create and improve prompts that enable more efficient usage of Github copilot.

RESPONSIBILITIES

• Rapid Prompt Developing and Refinement - Develop and refine prompts to achieve specific coding goals, such as generating code snippets, fixing bugs, or writing unit tests.

• Context and Constraint Management - Understand how to provide Copilot with the necessary context (e.g., code base, language, framework) and constraints (e.g., specific libraries, coding style) to guide its suggestions.

• Prompt Experimentation and Testing - Conduct experiments to evaluate different prompt strategies and identify best practices.

• Prompt Documentation and Library Creation - Create and maintain a library of effective prompts or prompt chains for various tasks.

• User Education and Training - Develop tutorials and resources to help developers learn and improve their prompt engineering skills.

• Feedback and Iteration - Analyze Copilot's responses and identify areas for improvement, suggesting updates to the model or prompting techniques.

• Team Collaborate – Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.

• Prompt Experiments: Conduct experiments and research to test new prompting techniques and optimize existing workflows.

• Keeping ahead on Strategy: Stay up to date on the latest advancements in national language processing (NLP) and AI, and apply those insights to your work.

• Documenting to enable sharing of knowledge and Best Practices - Document and communicate your work clearly and concisely to technical and non-technical audiences for future reference.

Strategy
• Supports Hive Tech Lead, Product Area Lead and Engineering in strategy of prompt engineering and roadmap and execution
• Deliver outputs that make a significant contribution to the organization's strategic goals.
• Partner with Strategic Partner (i.e. Microsoft and others) to determine the right solutions to business needs.

Business
• Promote engineering craftmanship and focus on delivering business value.
• Responsible for technical delivery and technical excellence across the squads.
• Works across multiple squads or hives for delivery of complex Features, Epics & Releases.
• Point of escalation for delivery issues across all impacted hives and squads.
• Work with Change Delivery Manager (Release Manager) to develop delivery and release plans with technical dependencies, aligning all partners with support from the team and architect.
• Exhibit passion for client experience with a user-first mindset.
• Drive the domain towards future state of banking and technology.
• Ensure the technical consistency of solutions in the Hive with the business architecture, technology architecture and enterprise technology standards.

Processes
• Study existing engineering processes and contribute to improvements to drive up efficiencies. Present ideas across other areas and foster innovation.
• Analyze, remove, or mitigate dependencies across teams to enable speed and quality of delivery.
• Responsible in the preparation of production outputs and their planning in alignment to ESDLC standards.

People & Talent
• Work on upskilling of technical expertise of the Engineers to enable them to become more efficient in Prompts they use day-to-day.
• Mentoring and training the squad on technical skills to become good Prompt Engineers

Risk Management
• Mitigate delivery risks and issues, and ensure quality, affordability, and scope of delivery.

Governance
• Support the remediation of tech compliance (ESDLC) requirements through the delivery lifecycle (design reviews, security reviews, code reviews, SAT, OAT, etc.) with support from HTL(Hive Tech Lead) / PO / CPO (Chief Product Owner)

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders
• Global Head, Credit Origination Technology
• FFG Technology Programme Manager
• CIB DC & CP Cross Hive Tech Leads (where applicable)
• Hive Tech Leads & Product Area Leads, Product Enablement
• Hive Product Owner, Product Enablement
• HIVE Architects

Our Ideal Candidate

• This role is going to be 12months Direct Contract

• 10+ year Engineering experience in building data-driven applications and 2+ years as promote engineer
• Proficiency in programming languages such as Python and experience with relevant libraries and frameworks.
• Strong understanding of NLP concepts and techniques.
• Experience working with large language models and other AI systems.
• Excellent written and verbal communication skills, with a passion for language and storytelling.
• Ability to think creatively and solve problems, adapting to new challenges and changing priorities.
• Strong analytical skills and attention to detail to evaluate and optimize prompts.
• Ability to collaborate effectively with a cross-functional team.
• Familiarity with programming languages and scripting skills are a plus.
• Education Bachelor’s degree in computer science, linguistics, writing, or a related field

Role Specific Technical Competencies
• Full Stack/Back-End Java Engineering
• Prompt Engineering
• Data Engineering – Java / SQL
• Data Engineering – Python / SQL
• Data Science
• Communication
• DevOps
• Problem Solving

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website

Responsibilities
Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.
Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.
Requirements
Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. An equivalent combination of education and experience will also be considered.
Experience: At least 2 years’ experience working in a similar role. Hands-on experience in designing, developing, and deploying machine learning models in real-world applications.
Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with working on Large Language Models and Generative AI technology is a plus.
Technical skills
Strong programming skills in languages such as Python.
Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn etc.
Solid understanding of Statistical Analysis, Probability Theory, and Hypothesis Testing.
Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into solvable components, and develop innovative machine learning solutions. Strong mathematical and analytical skills are essential.
Communication and collaboration: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Proven ability to work collaboratively in a team environment and effectively manage multiple priorities.
Adaptability and continuous learning: Willingness to adapt to evolving technologies and learn new tools and techniques. Demonstrated commitment to staying updated with the latest advancements in machine learning and artificial intelligence.
Location: Ang Mo Kio
Only shortlisted candidates will be notified.
Please email a copy of your detailed resume to

for immediate processing.
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