Total 4,052 job vacancies in Singapore

Job Details:

• 1 year contract + 1 month completion bonus 

• Location: East (near MRT Expo)

• Tue - Sat : 6.30am to 3.30pm (Support US Market). Transport reimbursement.

Job Scope

• Participate in projects. Lead and/or collaborate with Order Management team

• Process customer orders in SAP within agreed service levels

• Maintain customer master data and system setups in SAP

• Facilitate order shipment per customer’s requested delivery date 

• Support pricing issue checks and coordinate with relevant teams for resolution

• Identify and escalate order data discrepancies for further investigation

• Support continuous improvement initiatives, including automation and process standardisation

• Generate reports to ensure accuracy and compliance of order management processes

• Work with regional teams across Asia, Europe and North America customer

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.https://sg.persolgo.com/job/apply/15878

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

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PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • R25157681 (Lau Jing Wen)

Role Overview

Our client is looking for a skilled and motivated Data Engineer to join the Data & Analytics team. In this role, you will be responsible for designing, developing, and maintaining robust end-to-end data pipelines that power our operational and analytical capabilities.

You will work closely with data analysts, BI developers, data scientists, and business stakeholders to deliver high-quality, reliable data solutions at scale.

Key Responsibilities

Data Pipeline Engineering

• Design, develop, and maintain end-to-end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).

• Build and optimize ETL/ELT workflows using SQL, Python, and enterprise data integration tools.

• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.

Database & Data Platform Management

• Work hands-on with RDBMS platforms such as Oracle, DB2, SQL Server, or PostgreSQL for data extraction, transformation, and performance tuning.

• Develop and optimize SQL queries, views, and stored procedures to support reporting and analytics use cases.

• Support data modelling activities (logical and physical) for analytics and reporting layers.

Data Quality, Governance & Operations

• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.

• Support operational data activities, including incident investigation, root cause analysis, and remediation.

• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.

Collaboration & Stakeholder Engagement

• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.

• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.

Required Skills & Experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

• Strong hands-on experience with SQL and relational databases (Oracle, DB2, SQL Server, PostgreSQL).

• Experience building and supporting ETL/data pipelines in enterprise environments.

• Solid understanding of data modelling, data quality, and data lifecycle management.

• Ability to troubleshoot data issues and work in production/operational environments.

• Proven experience with Python for data processing or automation.

Preferred / Nice-to-Have

• Experience with data streaming technologies such as Kafka, Apache Spark, or Apache NiFi.

• Familiarity with BI and visualisation tools such as Tableau, Qlik, or Power BI.

• Knowledge of cloud or hybrid data platforms and workflow orchestration tools (e.g. Airflow, Azure Data Factory).

. Knowledge of Agile/DevOps practices and CI/CD for data pipelines

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Roles & Responsibilities

We are seeking Senior Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

Your Role and Impact

As our first Senior Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1. Select and manage on-premises technologies suitable for secure and efficient operations.
2. Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.
3. Ensure secure, maintainable, and scalable deployment of data infrastructure.
4. Define and enforce best practices in data governance, privacy, and access control.
5. Collaboration & Deployment.

What We’re Looking For

Educational & Background:

• Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.
• Only Singaporean or Singapore PR can apply due to project requirement.

Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., MLflow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

What we Offer

• A leading role in cutting-edge AI projects within the semiconductor industry.

• The opportunity to work with an learn from experts in the field of AI and data science.

• A dynamic, innovative, and supportive work environment.

• Competitive salary and benefits package.

• Career growth opportunities in a fast-paces technology company.

Role Summary:

We are seeking a hands-on Data Engineer to spearhead our Databricks Proof of Concept (POC) on AWS. You will be responsible for the initial environment setup, security configuration, and designing the framework for our future data platform. Working across diverse AWS and external data sources, you will build a unified, production-ready Databricks environment that validates the platform for broader adoption.

Key Responsibilities:

Platform & Infrastructure Setup

• Configure Databricks workspace integration with AWS (S3, IAM, VPC).
• Design and implement a scalable Medallion Architecture using Delta Lake (Bronze / Silver /Gold layers).
• Build automated ingestion pipelines leveraging Databricks Autoloader.

Data Engineering

• Cleanse and transform raw data from S3, RDS, and APIs into Delta tables.
• Optimize Spark jobs for performance, reliability, and cost-efficiency.
• Connect diverse AWS and external data sources into a unified Databricks environment.

Governance &Evaluation

• Establish data governance standards using Unity Catalog. (Good to have — not a hard requirement for the POC.)
• Configure Databricks Clusters with Autoscaling and Spot Instances to manage AWS spend.
• Define and evaluate POC success metrics covering performance, cost, and ease of use.
• Set up an end-to-end pipeline (Source → S3 → Databricks → BI Tool) within agreed timelines.

Qualifications and Experience:

Must-Have Skills

• Databricks Mastery — Expert knowledge of Delta Lake and Medallion Architecture (Bronze /Silver / Gold).
• PySpark / Spark SQL — Ability to write and optimize Spark code; Python strongly preferred over Scala or R.
• AWS Infrastructure — Deep understanding of S3 (bucket policies, storage), IAM(roles and policies) for secure Databricks access.
• Data Ingestion —Hands-on experience with Databricks Autoloader or Unity Catalog for managed data governance.
• 3–5+ years of professional experience in Data Engineering with PySpark / SQL.

Good to Have

• Networking — VPC configuration and AWS networking concepts.
• AWS Glue or Amazon EMR experience.
• Databricks Certified Data Engineer Professional certification.
• Experience connecting OOTB BI tools to Databricks environments.

Job Description

• Provide professional services to support the on-site build, configuration, and break-fix of Virtual Private Cloud (VPC) infrastructure in the Data Center.
• Escort engineers during on-site visits for hardware servicing and maintenance activities.
• Plan, schedule, and coordinate closely with OEM vendors for the physical installation, configuration, testing, and repair of server, storage, and network hardware.
• Ensure all hardware components—including servers, storage systems, and network devices—are mounted and installed according to design specifications.
• Follow up on cabling and patching requests to ensure proper connectivity and labeling.
• Collaborate with client teams and engineers to troubleshoot on-site hardware and infrastructure issues.
• Initiate and adhere to client change management and access control processes for all on-site activities.
• Provide physical hands-on support for server hardware, including power cycling, reboots, and component replacement.
• Other ad-hoc assigned duties.

Requirements

• Understanding of server hardware, SAN (Storage Area Network) storage, and networking components such as routers and switches.
• Proficient in server components including HDDs, CPUs, RAM, network interface cards (NICs), and storage controllers.
• Experience in Hypervisor VM Migration.
• Strong communication skills with the ability to collaborate effectively across multiple teams.
• Skilled in multitasking with a detail-oriented mindset and strong organizational abilities.
• Excellent troubleshooting skills for both hardware and network-related issues.
• Willing and able to work rotational shifts in a data center environment.
• Open to travel as required by job responsibilities.

Research& Data Executive

Your Mission

Build and maintain a high-quality prospect database that powers effective marketing and sales campaigns for our international training events.

What You'll Be Doing

·      Research and profile target companies and decision-makers using available online resources —LinkedIn, company websites, industry directories, trade publications, and professional networks

·      Build and expand new prospect databases through digital research, social platforms, and professional networks

·      Verify and enrich existing database records by cross-referencing multiple sources and direct outreach where needed

·      Maintain accurate and up-to-date client records in the CRM, ensuring data integrity at all times

·      Monitor industry news, events, and professional communities to identify emerging prospects and market shifts

·      Track and meet KPIs around database quality, data accuracy, and lead-to-conversion rates

·      Collaborate closely with the Sales and Marketing teams to align prospect targeting with upcoming training events

·      Flag insights and trends from research that could shape campaign strategy or reveal new market opportunities

What You'll Gain

·      Fast-track appraisal program held twice a year with clear career progression

·      A fun, collaborative, and high-energy work environment

·      Attractive cash incentives for hitting event targets

What We're Looking For

·       Detail-oriented and highly organised, with a strong eye for data accuracy

·       Comfortable navigating digital research tools, LinkedIn and CRM platforms

·       A natural researcher who takes initiative and goes beyond the obvious to surface the right prospects

·      A team player who communicates findings clearly and promptly

·      Demonstrates our core values:

• Teamwork
• Respect & Integrity
• Open Minded
• Performance Excellence
• Innovation
• Customer Commitment

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.

• Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.

• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.

• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.

• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.

• Deployment of pipeline artifacts from one environment to the other using Azure Devops.

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.

• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.

• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.

• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.

• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• Team player with good interpersonal, communication, and problem-solving skills.

• Preferred to have Devops expertise.

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

The Data Scientist works closely with business stakeholders to uncover challenges, refine use cases, and design analytical solutions that drive measurable outcomes. This role spans the entire data science lifecycle—problem framing, data preparation, modelling, evaluation, communication of insights, and enabling adoption through compellingvisualizations and decision‑support tools.

Key Responsibilities

1. Problem Definition & StakeholderEngagement

• Facilitate discussions with business users to understand their pain points, clarify objectives, and convert them into analytically sound data science problem statements.
• Collaborate with stakeholders throughout the project to refine hypotheses, validate findings, and align on priorities.
• Manage expectations and timelines while balancing analytical depth with business needs.

2. Data Preparation & FeatureEngineering

• Conduct data cleaning, preprocessing, and transformation for both structured and unstructured data to ensure high data quality.
• Perform feature engineering to extract meaningful attributes that enhance model performance.
• Identify relevant datasets and integrate multiple data sources to support analytical work.

3. Analytical Modelling &Experimentation

• Explore data using statistical techniques to uncover trends, patterns, and relationships.
• Build machine learning models for prediction, classification, clustering, or other analytical tasks as required by the use case.
• Evaluate model performance and iterate based on stakeholder feedback and performance metrics.

4. Insights Delivery & Communication

• Translate analytical results into actionable recommendations that stakeholders can apply to drive decisions or business improvements.
• Develop clear, compelling narratives that explain insights and model behaviours in an accessible manner.
• Present analysis with well‑designed visuals, dashboards, and interactive tools that support storytelling and data exploration.

5. Visualisation & User‑Facing Tools

• Design dashboards and interactive visualizations to facilitate self‑service analytics and real‑time data monitoring.
• Apply strong visualization principles to ensure insights are intuitive and impactful.
• Build and deploy customised visual interfaces tightly integrated with underlying data systems.

6. Deployment, Monitoring &Continuous Improvement

• Support model deployment into production environments and collaborate with engineering teams to operationalize models.
• Monitor model performance over time and recommend enhancements as required.
• Contribute to agile project workstreams and participate in ceremonies such as stand‑ups, reviews, and retrospectives.

Required Skills & Competencies

Analytical & Technical Skills

• Ability to convert business challenges into analytical questions and identify appropriate data sources.
• Proficiency in writing data preparation and analysis scripts using tools such as Python, R, SQL, pandas, or equivalent.
• Strong foundation in descriptive statistics, probability, data exploration, and hypothesis testing.
• Skilled in building and validating machine learning models, using modern techniques and frameworks.
• Solid understanding of system design concepts, data structures, and algorithms.

Data Visualization & Storytelling

• Strong command of data visualization principles and tools.
• Capable of developing dashboards and interactive visual tools (e.g., using Tableau, Power BI, Plotly, or custom frameworks).
• Ability to communicate analytical insights through structured storytelling tailored for decision‑makers.

Data Engineering Familiarity

• Understanding of data modelling, data access patterns, and data storage structures such as data lakes, data marts, and data warehouses.
• Familiarity with REST APIs, web protocols, and data extraction via web scraping technologies.
• Comfortable working with big data frameworks (e.g., Spark, Hadoop, Kafka) when required for large-scale processing.

Soft Skills

• Strong communication skills, both written and verbal, with the ability to influence non‑technical audiences.
• Effective stakeholder management and experience working in iterative cycles with feedback loops.
• Organized, self-driven, and able to manage multiple priorities in an agile environment.

Experience Requirements

• Proven experience conducting end‑to‑end data science projects—from scoping and data preparation to modelling and deployment.
• Experience collaborating with diverse teams and managing stakeholders across business and technical functions.
• Prior experience in agile project management or participating in agile delivery teams.

Qualifications

• Degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Mathematics, Information Systems, or related fields.
• Experience with production‑grade machine learning workflows is an advantage.

Please send your details in MS Word format to john@oaktree.com.sg:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Data Platform Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

ROLES AND RESPONSIBILITIES

• Design, develop, and maintained to end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).
• Build and optimize ETL / ELT workflows using SQL, Python, and enterprise data integration tools.
• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.
• Database & Data Platform Management
• Work hands on with RDBMS platforms such as Oracle, DB2, SQL Server, orPostgreSQL for data extraction, transformation, and performance tuning.
• Develop and optimize SQL queries, views, and stored procedures to supportreporting and analytics use cases.
• Support data modelling activities (logical and physical) for analytics and reporting layers.
• Data Quality, Governance & Operations
• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.
• Support operational data activities, including incident investigation, root cause analysis, and remediation.
• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.
• Collaboration & Stakeholder Engagement
• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.
• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.
• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery

REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Strong hands on experience with SQL and relational databases (Oracle, DB2,SQL Server, PostgreSQL).
• Experience building and supporting ETL / data pipelines in enterprise environments.
• Solid understanding of data modelling, data quality, and data lifecycle management.
• Ability to troubleshoot data issues and work in production / operational environments.
• Experience with Python for data processing or automation.
• Experience with data streaming technologies (e.g. Kafka, Spark, NiFi).
• Experience with BI and visualization tools such as Tableau, Qlik, or PowerBI.
• Knowledge of cloud or hybrid data platforms and orchestration tools.
• Knowledge of Agile / DevOps practices and CI/CD for data pipelines.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to keerthana@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan
Avensys Consulting Pte Ltd
EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML  techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)

Product area

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. 

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Job description

Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.

Additional job description

The Data Center Design Integration team is a multi disciplinary team of architects and Information and Communication Technology (ICT)/Telecommunications (Telecom) designers that work on next generation data center designs. We are a sub-team of the broader Data Center Technology and Systems (DCTS) organization.

As a Telecom Lead, you will be responsible for working with executive level engineers across all disciplines to develop integrated telecom communication designs at the product and top level assembly state of a data center. You will lead external consultants to develop coordinated construction level drawing packages for manufacturing and construction.

Qualifications

Job responsibilities

• Work with internal telecom engineers and network designers to rationalize requirements into products, conceptual one lines and conceptual rack or tray layouts to enable adequate telecom infrastructure.
• Work with cross-functional disciplines across architecture, civil, mechanical, electrical, controls, security on product development, and assembly integration of telecom infrastructure.
• Participate in internal and external ICT/telecom product and data center design reviews across the following disciplines: Telecom, Security, Controls and Networking.
• Review construction level drawings produced by internal and external vendors that document ICT/telecom scope for program reference.
• Review and enable best practices for converged network allocations across all mechanical, electrical, and controls products. Act as an escalation path for site localization of canonical design where local requirements necessitate engineering judgement on adjustments to ICT/telecom design.

Minimum qualifications

• Bachelor's degree in Mechanical Engineering, Electrical Engineering or IT Engineering, or equivalent practical experience.
• 5 years of experience working with external telecom vendors on telecom products.

Preferred qualifications

• Master's degree in Mechanical or Electrical or IT engineering.
• 6 years of experience as a Registered Communications Distribution Designer (RCDD) Certified professional with ICT/telecom scope within mechanical and electrical data center products.
• 6 years of experience as key contributor on ICT/telecom scope within mechanical and electrical data center products
• Experience with Autodesk Revit or other 3D modeling software developing telecom rack and tray layouts.
• Ability to travel to visit data center sites or manufacturing partners.

About Us

• Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​

Why Join ByteDance

• Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​

• As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

Diversity & Inclusion​

• ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Job highlights

• Positive team atmosphere, Paid leave, Meals provided

Team Introduction:

• Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively.
• The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion.
• We are looking for data scientists and AI developers who will power our mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various verticals.
• You will be deploying your engineering, data analytics and data science skills to be part of the mission to build state-of-the-art analytics products for the audit team.

Responsibilities:

• Model Evaluation & Audit Frameworks: conduct audits on the model lifecycle from training through deployment and monitoring, ensuring compliance with quality, performance, fairness, and risk-management standards.
• Risk Identification & Mitigation: Identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and recommend remediation strategies.
• Measurement Metrics & Statistical Validation: Define and assess model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses.
• Communication & Collaboration: Develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals.
• Clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders.
• Data Analytics Services: Partner with auditors to provide data support and guidance for audit engagements, including conducting interviews, observing systems and operations, developing queries and testing strategies, deploying data quality checks to ensure completeness and accuracy for data sets, and deriving insights.
• Data Warehousing: develop and maintain data warehouses across different business verticals to efficiently support audit engagements; implement data quality checks for key data assets and continuously collaborate with data partners to maintain completeness and accuracy of these assets.
• Automation and self-service analytics: partner with auditors to identify and analyze key risk indicators, contribute to a continuous auditing data strategy that will translate into various use cases and corresponding data solutions that can automate the evaluation of the design and effectiveness of controls; build and maintain ETL data pipelines, as well as dashboards to support the solutions.
• AI-Driven Automation and Insights: Leverage machine learning and AI to automate business and audit processes, surface insights from unstructured and structured data, and extend the team’s ability to deliver actionable recommendations at scale. Develop, train, and implement proprietary machine learning and AI models, to scale up audit testing insights.
• Professional Development: Continue to develop and expand knowledge in data analytics practices, machine learning, AI, and ByteDance products through continuous education. Provide data training to empower the audit team to derive insights.

Qualifications

Minimum Qualifications:

• Bachelor's degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics.
• Minimum of 5 years professional experience in applied data science, machine learning engineering, or AI research, specifically working with LLMs and traditional ML models and at least 5 years practical experience of data science or analytics from the technology sector, including but not limited to B2C SaaS, media tech, ecommerce, social media platforms, fintech etc.
• Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLMAuditor (probe generation/answering cycles, human-in-the-loop assessments).
• Hands-on experience in designing, deploying, and monitoring large-scale ML models with thorough understanding of lifecycle risks and controls plus strong proficiency in SQL and Python (including libraries such as Hugging Face Transformers, TensorFlow, PyTorch, scikit-learn), data analysis tools, and ML pipeline orchestration platforms.
• Expertise in defining and assessing model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses.
• Extensive knowledge of transformer-based LLM architectures (e.g., GPT, BERT, T5, PaLM) and classical ML algorithms (e.g., regression, tree-based methods, neural networks).
• Working knowledge of classical ML algorithms and LLM architecture and deep technical expertise in LLMs and Traditional ML and a proven track record supporting or performing AI/ML model audits or evaluations within a corporate, regulatory, or advisory context.

Preferred Qualifications:

• PHD degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics.
• Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance.
• Familiarity with emerging LLM auditing methodologies such as LLM Auditor (probe generation/answering cycles, human-in-the-loop assessments).
• Ability to analyze model design, training methods, data pipelines, and inference behaviors.
• Capability to identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and to recommend remediation strategies.
• Experience building and maintaining data analytics solutions for continuous audit programs, including automating common analyses and recurring checks plus the ability to clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders.
• Experience with data integration, ETL processes, and large-scale data processing systems plus working knowledge of cloud-based infrastructure such as AWS, GCP, Azure or Snowflake; working knowledge of large scale data processing techniques, such as Hadoop, Flink and MapReduce and a good understanding of data warehouse and data modeling principles.
• Front end and back end software development skills.

☑ Good Bonuses

☑ Near MRT

☑ Family Friendly Environment

Job Description:

• Responsible for Accounts Receivables & Payables.
• Responsible for all claims & process payments.
• Maintain bank records & reconciliation.

Requirements:

• At least a NITEC in Accounting or related certifications.
• Minimum 1 years of related working experience.
• Experience with XERO is a preferably but not a must.

To apply, please include the following details inside your CV for faster processing:

• Reasons for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret that only short-listed candidates will be contacted shortly.

Loh Puay Hwee David

EA License | 24C2215

EA Registration Number | R1766892

If you’re a self-driven, outgoing and sharp… We want you!!

Our organisation is looking for the next talent to develop in our industry to lead and manage marketing campaigns

Responsibilities:

- Represent clients to boost sales revenue and brand awareness

- Enhance customer acquisition through in-person interactions

- Provide excellent customer service

Perks:

- Travelling opportunities, both regional and international

- 1 to 1 Mentorship

- Advancement opportunities

- Competitive income

Good to have:

- Keen learning attitude

- Team player

- Not afraid to make mistakes

We regret to inform you that only shortlisted candidate will be notified.

We are a growing marketing and sales company working with brands across various industries to increase brand awareness and customer engagement through campaigns and events.

⭐ No prior experience required (training provided)

✅Key Responsibilities

• Be the face of the brands at events
• Assist in building brand awareness and customer engagement
• Work closely with the team to achieve campaign objectives

✅Who We Need

• Positive attitude and willingness to learn
• Good communication and interpersonal skills
• Able to work in a team environment

✅Benefits

• Opportunities to travel and gain exposure
• Regular team bonding activities
• Clear career progression path
• Hands-on experience to build valuable skills

We welcome interested applicants to apply. We regret that only shortlisted candidates will be contacted.

We’re seeking enthusiastic and driven individuals to join our expanding Sales and Marketing team. Whether you’re a fresh graduate or exploring your next career move, this is a great opportunity to gain hands-on experience, develop your skills quickly, and make a real impact.

What We’re Looking For:

• A positive mindset with strong motivation to learn and grow

• Good communication skills with leadership potential

• A team-oriented individual who enjoys connecting with people

What You’ll Be Doing:

• Learn and implement effective sales and marketing strategies

• Guide and support team members in achieving shared targets

• Develop and maintain strong relationships with clients and customers

What You’ll Gain:

• Personalized mentorship and comprehensive training

• Clear opportunities for career progression and leadership development

• A supportive and energetic team environment

• Travel opportunities both locally and internationally

• Recognition and rewards for your achievements

If you’re looking for an environment where you can grow, learn, and be part of an exciting journey, this could be the right opportunity for you.

Candidates without prior experience are encouraged to apply.

(Only shortlisted candidates will be contacted)

Yishun

Monday to Friday 8.30am to 5pm

Basic $2500-$3500+$500 or $1200 (if have own car)

Japanese MNC

Semicon industry

Duties and Responsibilities
Service matters:
- Liaising directly or indirectly with external customers in Singapore or other countries for any service/ technical related matters.
- Account Management directly or indirectly be it technical or support related matters.
- Respond to customer sites when require.

Operations matters
- Inventory control such as controlling the movements of the spare parts in the store and monthly stock-taking of part etc.
- Issue Service order / Service report / Quotation to either appointed agent or customers.
- Prepare and update all service reports to be submitted weekly for any service tasks or response carried out.
- Liaising with external vendors, customers and Headquarter on any related issues and enquires.
- Impart machine/ service knowledge to peers so as to build up the service capability.
- Conduct demo/ trainings for customers / peers as and when require.
- Able to provide service support overseas as require.
- All other related work as assigned by superior.

Requirements

• Diploma/Degree in mechanical/mechatronics or related engineering
• No experience can apply as training provided

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at emily.fong@atomrecruit.com

Emily Fong

Senior Talent Specialist

Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443

EA Personnel Reg No.: R1768368