WhatsApp: +65 90820021 (Kyler)
Email: kylergan.supreme@gmail.com

Admin Assistant

Salary: $2,300 - $2,800
Location: Pioneer
Working Days: 5 days, 8.30am to 5.30pm

Responsibilities

• Handle daily administrative and clerical duties
• Maintain proper filing and documentation records
• Support inventory updates and stock coordination
• Coordinate with suppliers, customers, and delivery teams
• Manage office correspondence (Emails, calls, mail)

Requirements:

• Good knowledge of Microsoft Word, Excel, and basic computer skills

The Supreme HR Advisory Pte. Ltd | 14C7279
Gan Kai Le | R23112683

We are looking for an ambitious Marketing Executive to help us increase our clients‘ Brand awareness and Customer base through the promotion of their products and services at our event sites in Singapore.

As a member of our Marketing team, you will have room to advance your career. Our candidates receive 1-on-1 coaching/mentorship, continuous training and career guidance, travel opportunities, leadership opportunities to coach newcomers and fast tracked career advancement/growth.

What you will do

- Participate and ensure the successful execution of our events marketing campaigns

- Promote our products or services to existing and potential customers

- Work with the rest of the Marketing team to develop strategies

Skills that you have

- Background in Sales and marketing is a plus

- Open minded and willingness to learn

- Good communication and presentation skills is a plus

We are seeking motivated individuals who are eager to build a long-term career in marketing, customer engagement, and brand communication.

No prior experience is required — comprehensive training and 1-on-1 mentorship will be provided.

Key Responsibilities

• Represent established brands at events, roadshows, and outreach activities
• Engage customers and deliver professional brand experiences
• Support execution of marketing and promotional campaigns
• Work closely with the team to achieve campaign objectives

What You Will Gain

• Structured 1-on-1 mentorship and professional training
• Clear leadership progression pathway
• Local and overseas exposure opportunities
• Supportive, high-energy, and collaborative team culture

Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

Looking for More Than Just a Job? Build a Career With Us!

Are you looking for an opportunity where your growth is recognised, your efforts are rewarded, and your potential is developed?

Join a dynamic Events Sales & Marketing team where you'll gain real-world experience, develop valuable skills, and build a clear path towards career advancement.

No experience required — full training provided.

WHAT YOU'LL GAIN

• 1-to-1 mentorship and structured training
• Fast career progression opportunities
• Local and overseas travel opportunities
• Fun, supportive, and growth-focused team culture
• Performance-based rewards and recognition

YOUR ROLE

• Represent leading brands at events and roadshows
• Engage with customers through face-to-face interactions
• Support marketing campaigns and brand activations
• Collaborate with the team to achieve campaign goals

WHO WE'RE LOOKING FOR

• Motivated individuals who are eager to grow
• Strong communication and interpersonal skills
• Positive attitude and willingness to learn
• Team players who thrive in a fast-paced environment

APPLY NOW

Start building your skills, confidence, and earning potential in marketing, sales, and leadership development today.

This is a full-time role for a Data Engineer. The Data Engineer will be responsible for designing and implementing scalable data pipelines, developing and maintaining data models, performing Extract, Transform, Load (ETL/ELT) processes, and managing modern data warehousing and analytics solutions—primarily utilizing Microsoft Fabric and Databricks. The role also includes building and operationalizing lakehouse architectures, ensuring data governance and security best practices, and analyzing complex datasets to support business decision-making. Collaboration with cross-functional teams to deliver high-quality data solutions is essential. 

Qualifications 

• Strong proficiency in Data Engineering, Data Modelling, and building Lakehouse/Data Warehouse solutions 

• Demonstrates strong proficiency in Medallion architecture and metadata-driven concepts. 

• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Data Activator, Power BI integration) 

• Hands-on with Databricks (Spark, Delta Lake, DLT pipelines, Unity Catalog) 

• Proficiency in ETL/ELT development and orchestration within Azure ecosystem 

• Strong skills in Data Analytics using SQL, Python or PySpark 

• Knowledge of Cloud-native data platforms including Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Storage, etc. 

• Understanding of data governance, security, and CI/CD best practices for cloud data platforms 

• Strong problem-solving and analytical skills 

• Ability to work independently and remotely in a fast-paced environment 

• Bachelor’s degree in computer science, Information Technology, or related field 

Company Overview

TECHCOM SOLUTIONS, founded in 2003, is a Singapore-based IT total solutions provider serving government agencies, MNCs, system integrators, educational institutions, and BFSI across Singapore and APAC. We specialize in outsourcing, managed services, and staffing solutions.

Job Summary

You will develop and optimize data integration pipelines and ETL/ELT codes using Teradata SQL, Informatica, and Apache Spark to support data warehousing and analytics. You will also automate workflows and enhance application performance to drive efficient data operations.

Responsibilities

• Develop ETL/ELT codes using Teradata SQL, Informatica PowerCenter, Apache Spark, QueryGrid, and Trino to transform and load data into Teradata data warehouses and datamarts
• Optimize and tune performance of complex data applications to reduce resource consumption and improve efficiency
• Design and implement data pipeline orchestration frameworks using GCFR, shell scripting, and BTEQ to automate end-to-end data workflows
• Integrate automation frameworks with control systems to ensure reliable and scalable data processing
• Apply CDC (Change Data Capture) concepts, preferably with Java-based implementations, to support real-time data updates
• Utilize Apache Spark and Hadoop ecosystem tools (Hive, Kafka, NiFi, Iceberg, Impala) to manage and process large-scale data sets
• Write and maintain shell scripts and BTEQ scripts to support data operations and automation tasks

Preferred competencies and qualifications

• 6+ years of relevant experience in data engineering and ETL development

✨ Event Management & Marketing Executive ✨

(Excellent Career Growth | Attractive Bonuses | Travel Exposure)

About the Role
We are looking for energetic and creative individuals to join our growing Events & Marketing team. If you enjoy meeting people, working in dynamic environments, and being part of exciting campaigns, this opportunity is perfect for you.

⭐ What You Will Do

• Assist in planning, coordinating and executing on-ground events, roadshows and brand campaigns.
• Participate in marketing activities to promote brand awareness and engagement.
• Communicate with customers professionally and represent the company’s image.
• Work closely with team members to achieve event goals and campaign targets.
• Support event logistics such as setup, preparation, and reporting.

⭐ What We Offer

• Attractive performance bonuses
• Career growth opportunities into leadership & management roles
• Travel exposure for selected campaigns and team trips
• Dynamic, supportive and fun working environment
• Continuous learning and development with team guidance

⭐ Who We Are Looking For

• Positive, confident and outgoing personality
• Enjoys interacting with people
• Willing to learn and open to challenges
• Hardworking and a good team player
• No experience required — training will be provided

Ready to Join Us?

Whether you are looking for a part-time, fresh graduate, or full-time roles, you are ALL welcome :)

ARE YOU​ A THRIVER? Apply now!

Don’t want to jump straight into something you may not find suitable in the long term?

This role offers an opportunity to gain experience, learn, and develop relevant skills.

You’ll be working on campaigns, meeting people, and picking up various skills along the way.

What you’ll be doing:

Run and support marketing campaigns at events
Promote products/services to customers
Handle face-to-face interactions
Work with the team to achieve campaign targets

What you’ll get:

Training provided (no experience required)
Mentorship provided from Day 1
Opportunities for career progression based on performance

We’re looking for someone who is willing to learn, open to trying new tasks, and comfortable stepping out of their comfort zone.

Apply if you are interested in gaining experience in a sales and marketing environment.

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

Job Description

We are seeking a Data and Artificial Intelligence Scientist to design, develop, and deploy scalable data and AI solutions that address real-world business and industry challenges. The successful candidate will work closely with product owners, software engineers, and industry stakeholders to build AI-driven applications, evaluate emerging technologies, and deliver production-ready solutions.

Key Responsibilities

• Design, develop, and deploy AI and machine learning solutions for business and industry applications.
• Collaborate with cross-functional teams throughout the product development lifecycle, including requirements gathering, solution design, prototyping, testing, deployment, and maintenance.
• Conduct technical assessments of emerging AI technologies, tools, and research to determine their suitability for practical implementation.
• Develop and maintain cloud-native applications and microservices-based solutions.
• Build, evaluate, and optimize machine learning and deep learning models for production environments.
• Design and implement Retrieval-Augmented Generation (RAG) systems, AI agents, and vector/graph database solutions.
• Develop software components following secure software development practices and agile methodologies.
• Ensure AI solutions meet functional and non-functional requirements, including scalability, security, transparency, maintainability, and cost efficiency.
• Prepare technical documentation and contribute to knowledge sharing within project teams.

Requirements

• Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related discipline.
• Strong knowledge of machine learning, deep learning, and artificial intelligence concepts.
• Experience developing and deploying AI applications in production environments.
• Proficiency in Python and/or C++ programming.
• Experience with data analysis, data visualization, and machine learning libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Experience with Large Language Models (LLMs), prompt engineering, and AI application development.
• Experience developing AI agents, Retrieval-Augmented Generation (RAG) solutions, and working with vector or graph databases.
• Knowledge of software engineering principles, APIs, and microservices architecture.
• Understanding of cloud platforms and modern software deployment practices.
• Experience with 3D geometry, vector mathematics, coordinate systems, and computational geometry will be an advantage.
• Familiarity with 3D modelling/CAD tools or related libraries such as Blender, OpenGL, CGAL, or Three.js will be an advantage.
• Good communication and interpersonal skills, with the ability to work effectively in multidisciplinary teams.

Experience Required

• Seniority and remuneration will be commensurate with qualifications and relevant experience.
• Candidates with 3 years or more of relevant experience in AI, machine learning, data science, or software engineering are encouraged to apply.

Role Summary

We are seeking an experienced and detail-oriented SAP Data Migration Specialist with strong ABAP programming expertise to join our team. This role is pivotal in ensuring a seamless transition of critical business data from our legacy SAP environment to our new ERP system. The ideal candidate will be responsible for the end-to-end data migration lifecycle, focusing on high-quality extraction, transformation, and validation processes.

Key Responsibilities

• Data Migration Strategy: Participate in full-cycle data migration activities, from initial analysis and extraction to final cutover, ensuring minimal downtime and business continuity.
• ABAP Development: Design, develop, and optimize robust SAP ABAP programs specifically tailored for complex data extraction and translation requirements.
• Collaborative Data Governance: Partner closely with functional teams to define and refine data mapping, cleansing, and validation rules. Actively contribute to improving overall data accuracy, integrity, and consistency across systems.
• Testing and Reconciliation: Lead the execution of comprehensive test runs and data reconciliations. Validate data integrity throughout every stage of the migration to ensure 100% accuracy post-transfer.
• Support and Troubleshooting: Provide dedicated post-migration support, proactively identifying and resolving any data-related issues or discrepancies that arise during or After the transition.

Required Technical Skills and Experience

Skill Category

• ABAP Development,
• Data Migration,
• Analytical Ability,
• ERP-Knowledge

Requirements

• Strong proficiency in ABAP, including Report programming, Function Modules, and Data Dictionary objects.
• Proven track record in end-to-end SAP data migration projects.
• Strong experience in data mapping, complex data cleansing, and performing data reconciliation.
• Deep understanding of SAP table structures and experience translating data for integration into new ERP environments.

Professional Competencies

• Strong communication skills to effectively collaborate with cross-functional teams.
• High attention to detail, especially regarding data accuracy and reconciliation.
• Ability to troubleshoot complex technical issues under tight deadlines.
•  Proactive approach to problem-solving and process improvement.  

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Hands-on experience with Large Language Models (LLMs) or Generative AI projects, such as prompt engineering, fine-tuning, or implementing Retrieval-Augmented Generation (RAG) pipelines
• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.