Total 4,098 job vacancies in Singapore

(Entry Level ☺️) Events and marketing

We partner with brands to strengthen customer relationships through direct engagement and professional representation.

What You'll Do

• Engage directly with customers and understand their needs.

Company Overview

A-IT Software Services Pte Ltd, established in 1991 and headquartered in Singapore, specializes in development outsourcing with expertise in project management, system design, and development for consumer banking, credit cards, and loans. The company has a strong track record and regional presence in Malaysia.

Job Summary

You will analyze financial data using Python and analytics tools to deliver ad hoc insights and develop data analytics solutions that support business decision-making in financial institutions.

Responsibilities

• Analyze financial data using Python to generate actionable insights for business stakeholders
• Develop, build, and maintain data analytics solutions to support ongoing business needs
• Use analytics platforms and tools effectively to extract, transform, and visualize data for reporting and decision support
• Provide ad hoc data analysis and insights to address specific business questions and challenges

Other Information

This job advertisement is posted by: Tan Geok Khim (Deng Yuqin) (R22107857) A-IT Software Services Pte Ltd

• EA License No: 24C2345

• “By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by A-IT Software Services and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at [A-IT Software Services PDPA website] and [https: //www.e2i.com.sg/pdpa/].”

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. Deep expertise in data science with cutting-edge generative AI technologies to develop, implement, and optimize AI systems that create meaningful business value. You will work at the intersection of research and application, turning complex data into intelligent generative solutions.
• Model Development & Research. Design and develop generative AI models for various applications (text, image, code, multimodal). Research and implement novel approaches in prompt engineering, RAG systems, and model alignment. Stay current with latest research in generative AI, LLMs, and related fields
• Applied AI Solutions. Translate business requirements into generative AI technical solutions. Build and optimize retrieval-augmented generation (RAG) systems. Develop custom evaluation metrics for domain-specific generative tasks
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience developing and fine-tuning models using LLMs, diffusion models, and transformer architectures. Proficiency with frameworks such as Hugging Face, LangChain, or LlamaIndex. Working knowledge of Python libraries including pandas, NumPy, and scikit-learn for data analysis and model development.
• Demonstrated understanding of generative AI techniques, including attention mechanisms, tokenization, and embeddings. Hands-on experience applying prompt engineering, few-shot, and in-context learning for AI applications. Experience with model evaluation for generative performance, and working knowledge of responsible AI, bias mitigation, and safety frameworks. Familiarity with vector databases and semantic search systems.
• Proficiency in programming languages such as Python, SQL, and Unix shell scripting for AI and data engineering workflows.
• Experience designing, building, and deploying scalable and resilient microservices, including the development of efficient and secure server-side APIs.
• Proven experience implementing CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies to automate deployment and integration processes.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Experience collaborating with cross-functional and geographically dispersed teams across multiple regions to deliver AI/technology solutions.
• Proven ability to manage concurrent AI projects and meet delivery timelines in dynamic and fast-changing environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, with the ability to document AI processes and present technical content clearly to both technical and non-technical audiences.
• Demonstrated analytical and problem-solving skills with experience deriving data-driven insights and actionable recommendations.
• Experience evaluating business or technical requirements, identifying improvement opportunities, and proposing solutions that enhance system or business value.

Education and experience:

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data scientist /Gen AI, preferably in financial organizations or Masters in quantitative fields (Computer Science, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 12416

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Data Center Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 2-3 years of relevant experience for a data centre

Work Locations

Bedok/Woodlands

(Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $4800

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Job Scope:

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:

• Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector
• Perform project management and product owner activities for the development, testing and maintenance of enterprise data systems such as data lakes, analytics platforms and AI platforms according to the Agile methodology;
• Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms
• Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance the companty's core work and strategic goals.

Requirements:

• Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content
• Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.
• Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.
• Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.
• Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
• Background in handling data analytics as well as strong knowledge of data/cloud technologies.
• Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
• Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.
• Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.
• Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $4500-$7500/month (depending on job position, qualifications and experience)

Location: Pasir Panjang

EA License No: 96C4864
Reg. No.: R24121728 EUNICE WOO JING QI

Responsibilities

·      Tolead the quality improvements through working with all relevant department andsupplier on the Kaizen activities.

·      To understand customer manufacturing quality requirement & align with the business agreement so as to work effectively with all suppliers to achieve KPI target for the line rejection.

·      Perform analysis on internal defects and drive improvements from relevant departments to achieve quality KPI.

·      To support Quality System Lead in ISO implementation for the company

·      To collaborate with internal team and provide support to Quality System Lead in all certifications requirement for the products as stated by customer

Requirements

·       Degree/ Diploma in Engineering with at least 3 years of relevant working experience in Manufacturing

·       Ability to work with the customer, HQ /factory, Peers / Subordinate, and Superiors

·       Strong problem-solving and interpersonal skills

·       Ability to work with minimal supervision

·       Able to handle customer complaint and work well with internal & external department to resolve quality issue

·       Able to provide constructive solution /advice to the team

·       Good knowledge in ISO management and customer audit

To find out more about this opportunity, please contact Lionel Liew atlionel.liew@gmprecruit.com.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S)Pte Ltd   |   EA Licence: 11C3793 |   EA Personnel: Lionel Liew   |   Registration No: R1330693

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction.

Requirement

• Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage.
• Require to travel locally and overseas when required.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

What You’ll Be Doing:

• Design, develop and deploy AI/ML/Gen AI solutions in areas including the consumer utilities app, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety and customer experience.
• Engage business stakeholders to understand user requirements, leverage domain knowledge, drive project targets and deliver business value.
• Work closely with data engineers, business analysts, product owners, UX designers, AI engineers and software engineers to adopt iterative, agile AI delivery framework.
• Establish and implement AI governance practices, including model documentation, validation, explainability, security guardrails, performance monitoring and ethical considerations.
• Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.

What You’ll Need:
We are looking for Passion and Proficiency

• Experience in building and deploying ML models, including LLMs, RAG, and AI agents
• Strong skills in Python, data pipelines, model integration, deployment, and monitoring
• Proficient in data wrangling, feature engineering, and deriving insights from large datasets
• Knowledge of model explainability, bias mitigation and responsible AI practices
• Ability to translate business needs into AI solutions and deliver in agile, cross-functional teams
• Bachelor of Computer Science/Engineering, Data Analytics & AI or other related area

What Make You Stand Out:

• Ability to actively engage stakeholders, navigate dynamic complexities, lead end-to-end project delivery and manage work of team members.
• Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with governance frameworks like Singapore’s Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
• Knowledge in energy tech or related domain.

If the above role is a good fit for you, or if you know anyone who might be good for the role, please get in touch with an updated CV and I'll be in touch!

EA Reg Number: R1660446

EA License Number: 07C3924 

Company Registration No: 200609504D

Grow into a Brand Marketer Through Hands-On Experience!

We are seeking a motivated and enthusiastic Event and Marketing Associate to join our team in Singapore. This is an entry-level position suitable for individuals who are keen to develop a career in marketing and gain hands-on experience in campaign execution and customer engagement.

Training and mentorship will be provided to support your professional development.

1️⃣ Key Responsibilities

• Support the planning and execution of marketing campaigns
• Engage with customers to promote brand awareness and campaign objectives
• Work closely with team members to ensure smooth campaign operations
• Contribute ideas during team discussions and campaign brainstorming sessions
• Monitor and provide feedback on campaign performance and customer responses
• Develop communication and interpersonal skills through on-the-job experience

2️⃣ Qualifications and Skills

• No prior experience required; training will be provided
• Good communication and interpersonal skills
• Positive attitude with a proactive mindset and willingness to learn
• Able to work both independently and in a team

3️⃣ What We Offer

• Structured training and onboarding programme
• Mentorship and guidance from experienced team members
• Opportunities for skills development and career progression
• Exposure to different marketing campaigns and projects

4️⃣ Additional Information

• Position Type: Full-Time
• Location: Singapore

Only shortlisted candidates will be notified.