Total 544 process development engineer job vacancies in Maintenance / Repair category in Australia

Job Description

• Industry/ Organization Type: Manufacturing/ Chemical
• Position Title: Maintenance Engineer
• Working Location: Tuas (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (8.30am – 5.30pm)
• Salary Package: Basic Salary + Transport & Mobile Allowance + AWS + VB
• Duration: Permanent

Key Responsibilities

• Support the planning and coordination of preventive maintenance activities, including IMTE / calibration for chemical manufacturing equipment.
• Assist in organizing and coordinating scheduled and ad-hoc maintenance for building systems and utility facilities.
• Carry out hands-on maintenance tasks and simple electrical work where required.
• Participate in feasibility studies and planning for the installation of new equipment and facility upgrades.
• Coordinate with and supervise external contractors for maintenance and repair works.
• Prepare and compile approval documentation, equipment training materials, and installation submissions for relevant government authorities and internal processes.
• Support spare parts inventory management, including obtaining quotations, negotiating pricing, and processing purchase orders.
• Assist the Technical Department in carrying out the company’s EHS initiatives and activities.

APPLY NOW!!!

• Diploma/ Degree in Electrical & Instrumentation, Mechanical, or Chemical Engineering.
• At least 3 years of related working experience, preferably within a chemical manufacturing environment.
• At least a basic understanding of electrical systems and instrumentation. (with LEW certification will be an added advantage)
• Familiar with Risk Assessment and Failure Mode and Effects Analysis (FMEA).
• Having AutoCAD knowledge and proficiency is an added advantage.
• With understanding of EHS practices, including ISO 14001, ISO 45001, and ISO 9001 standards.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76283 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

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.

About Our Team

Our team is missioned for the research, development, and implementation of algorithms for core supply chain scenarios. Focus on building intelligent decision-making solutions for the supply chain based on large models, encompassing core operations such as sales forecasting, replenishment planning, capacity planning, and inventory allocation. Simultaneously, explore the application of algorithmic technologies in more business areas to ensure the effectiveness of algorithm implementation and deliver business value.

Job Responsibilities

1. Lead the research, development, implementation, and iterative improvement of algorithms related to multi-scenario supply chain forecasting, replenishment, capacity, and allocation.

2. Apply large model technologies to business scenarios, demonstrating proficiency in the design and practical implementation of key techniques including Pre-training (PT), Continuous Pre-training (CPT), Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and AI Agents.

3. Possess an application-oriented mindset, collaborate with business teams to realize the value of algorithms, and continuously explore new opportunities to enhance operational efficiency and manpower productivity.

Minimum Qualifications

1. Bachelor's degree or higher in Computer Science, Mathematics, Artificial Intelligence, or related fields. Solid foundational knowledge of machine learning and hands-on experience with algorithms in real-world business scenarios are required.

2. Expert in the practical application of large models in the industry, with proven experience in SFT, RL, and Agents. Familiarity with training frameworks like LLaMA Factory is essential.

3. Proficient in Python and deep learning frameworks such as PyTorch or TensorFlow. Strong problem-solving skills are a must.

4. Strong sense of responsibility and a commitment to continuous learning, with the ability to stay abreast of cutting-edge large model technologies and apply them to business problems.

Preferred Qualifications

1. Published work in top-tier conferences (KDD, NeurIPS, ICML, SIGIR, WSDM, WWW, AAAI, IJCAI, RecSys, etc.) or success in ML competitions.

2. Passion for building agentic systems that drive real-world business outcomes.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.​

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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​

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.

- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.

- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

- Design and build supporting/debugging tools as needed.

- Support the production of scalable and optimised AI/machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Strong programming and problem-solving ability.

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.

- Experience in Deep Learning Tools such as tensorflow/pytorch.

- Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

- Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.​

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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​

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications:

- Final year or recent PhD graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.​

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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​

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.

- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.

- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

- Design and build supporting/debugging tools as needed.

- Support the production of scalable and optimised AI/machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Strong programming and problem-solving ability.

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.

- Experience in Deep Learning Tools such as tensorflow/pytorch.

- Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

- Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.​

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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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​

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.

- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.

- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

- Design and build supporting/debugging tools as needed.

- Support the production of scalable and optimised AI/machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed.

Qualifications

Minimum Qualifications

- Final year or recent PhD graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Strong programming and problem-solving ability.

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.

- Experience in Deep Learning Tools such as tensorflow/pytorch.

- Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

- Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Our Client:

• Up to $5,500, and VB
• Office Hours, 9am - 6pm
• Tanjong Rhu MRT
• Engineering Industry

Responsibilities:

• Oversee ACMV/HVAC maintenance activities and ensure efficient operations by the technical team.
• Ensure indoor thermal comfort and compliance with safety and quality standards.
• Plan, schedule, and supervise preventive and corrective maintenance works.
• Coordinate and manage contractors for installation and maintenance projects.
• Monitor and evaluate system performance, implementing improvements for efficiency and energy savings.
• Prepare reports, maintenance plans, and project updates for stakeholders.
• Lead troubleshooting, root cause analysis, and corrective actions for system issues.

Requirements:

• Bachelor’s degree in Engineering with minimum of 3 years experience in ACMV.
• Facilities Management Certification required

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Elsa Adam | EA Reg No: R22109576

JTE Recruit Pte Ltd | EA Lic No: 14C7215

Job Description

• Masking, grit blasting, and chemically cleaning parts to prepare for coating or heat treatment.
• Operating vacuum furnaces for processes like hardening, tempering, annealing, and brazing.
• Setting up and performing plasma spray coating, judging spray flow and speed for precision.
• Measuring coating thickness, maintaining logs, ensuring work meets specifications and quality requirements.
• Using stackers and other machinery to move materials and parts.
• Completing paperwork, system transactions, and adhering to safety & quality protocols.

Requirements

• Min Nitec in Precision Engineering / Aerospace Machining / Mechanical or equivalent
• Min 2 year of experience in laboratory in Aerospace Industry

To submit your application, please apply online 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

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.

About Our Team

We’re the core team building LLM-powered agentic systems that drive and accelerate seller growth across global markets.

We bring cutting-edge AI into production at scale — from applied LLMs and multi-agent systems to real-world business impact in one of the fastest-growing e-commerce ecosystems in the world.

We’re looking for brilliant and motivated ML engineers eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and large-scale intelligent systems to real-world challenges.

If you love building, experimenting, and shaping how AI transforms commerce, we want to talk to you.

Applications are reviewed on a rolling basis — we encourage you to apply early.

Responsibilities:

1. Develop and deploy deep learning and LLM-powered systems for merchant operational tools and global e-commerce growth scenarios.

2. Leverage large-scale e-commerce data to power agentic systems that generate actionable insights — from CRM content generation and store decoration to automated email reply and outreach optimization.

3. Use ML models to predict seller performance, identify growth gaps, and provide agent-based recommendations (e.g., campaign design, pricing, and promotions).

4. Collaborate with cross-functional partners (product, data science, operations) to design and deliver 0-to-1 projects that fundamentally reshape how merchants grow, impacting millions of daily sales across key categories (beauty, fashion, health, etc.).

5. Build lead-scoring models, merchant tiering algorithms, outreach optimization systems, and knowledge graphs to enhance onboarding and retention efficiency.

6. Apply data mining and predictive modeling to optimize product pricing, promotion, and traffic allocation strategies.

7. Communicate technical insights effectively to both technical and non-technical stakeholders, fostering a collaborative, data-driven culture.

Minimum Qualifications:

1. Bachelor degree and above in Computer Science, Artificial Intelligence, Statistics, Operations Research, or related fields, with experience in data mining or deep learning.

2. Solid understanding of ML and deep learning fundamentals — classification, regression, NLP, and model optimization.

3. Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).

4. Demonstrated ability to connect algorithms with business impact; highly self-driven with strong ownership and curiosity.

5. 2+ years of experience as an ML Engineer, ideally in NLP, recommendation, marketing, or growth algorithms.

6. Excellent analytical, teamwork, and communication skills.

Preferred Qualifications:

1. Experience in applied LLMs, multi-agent systems, or RAG (retrieval-augmented generation) pipelines.

2. Published work in top-tier conferences (KDD, NeurIPS, ICML, SIGIR, WSDM, WWW, AAAI, IJCAI, RecSys, etc.) or success in ML competitions.

3. Hands-on experience in e-commerce or other large-scale, data-intensive production environments.

4. Passion for building agentic systems that drive real-world business outcomes.

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online 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

Job Description

• Industry/ Organization Type: Engineering
• Position Title: Instrumentation Engineer
• Working Location: Clementi
• Working Hours: 5 days (Mon to Fri 8.30AM – 5.30PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent

Key Responsibilities

• Provide technical support to the sales team, including engineering-related quotations, technical clarifications, and proposal preparations
• Support pre-sales discussions, answer customer technical questions, and present solutions for company products
• Provide technical assistance, including troubleshooting and discussing supplied solutions
• Design and implement instrumentation solutions for refineries and petrochemical plants
• Perform instrument selection, calibration, and troubleshooting for MOV actuators, temperature sensors, and control systems
• Assist with installation, commissioning, and maintenance tasks
• Prepare technical documentation and reports for projects and customer communication
• Any other ad-hoc duties as assigned

APPLY NOW!!!

• Diploma/Degree in Instrumentation, Electrical, or Mechanical Engineering
• Has 3 years of experience with instrumentation engineering, preferably in O&G or petrochemical industries
• Hands-on experience with MOV actuators, temperature sensors, and industrial control systems is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #74260 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Scope of Work

Site work will involve installing structural, ground, and environmental monitoring systems in accordance with construction drawings and design specifications. Installation, programming and commissioning data loggers and telemetry devices; maintaining installation records and promoting a safe workplace with zero harm. 

Office & Site based work will involve following roles and responsibilities

·      Manage, coordinate and supervise all the instrument installation and monitoring works.

·      Oversee all instrumentation works including the production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation and reporting. Ensure that all monitoring data are correct.

·      Shall be responsible for preparing all necessary reports as specified in the Contracts documents.

·      Design, set up and maintenance of Instrumentation database

·      Ensuring works are in accordance with approved project quality plan

• Providing input into health, safety, environmental and quality documentation
• Preparing instruments, materials and tools for site work
• Installation of Structural, Ground, and Environmental Monitoring Systems
• Liaising with suppliers, subcontractors, clients and asset owners
• Provide installation, monitoring and maintenance services
• Maintain installation records, data processing, create factual reports
• Work as part of a team to plan and meet workload demands.
• Business operations – as part of a growing business you will be involved in all aspects of operations.
• Follow business processes to ensure consistent high-quality results.

Desirable/ Advantageous

• Hands on experience with geotechnical instrumentation
• Experience of borehole drilling techniques and methods
• Knowledge of instrumentation database

Requirements

·      Relevant Degree in Civil Engineering / Geotechnical Engineering / Geology

·      Min. 5 years’ hands on experience in managing instrumentation and monitoring works on a civil engineering project

·      Willing to work and travel among various sites

·      Experience working with LTA projects as Senior Instrumentation Engineer

Salary Range: SGD 4,000 to SGD 5,500 Depending on experience

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online 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

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online 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

• Oversee the maintenance of building structures, both inside and outside.
• Carry out repairs and upkeep of fixtures, fittings, and other building components.
• Coordinate with vendors for inspection, servicing, and certification of lifts, cranes, and related equipment.
• Manage and supervise contractors to ensure timely and quality work.
• Ensure proper care and general maintenance of the premises and surrounding areas.

Requirements:

• Diploma in Mechanical or Electrical Engineering.
• At least 3 years of experience in facilities/building maintenance.
• Practical, hands-on skills in building repair and maintenance work.
• Basic understanding of both mechanical and electrical systems.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740