Total 5 job vacancies by Leader Environmental Technologies Limited

Responsibilities:

1. Operate the continuous thermal hydrolysis and pyrolysis sludge treatment demonstration plant in Changi Wastewater treatment plant.

2. Evaluate and solve the operational issues of sludge treatment system.

3. Optimize the operating parameters based on the plant performance.

Requirements:

1. Environmental Engineering or Chemical Engineering or equivalent background.

2. The strong knowledge of continuous thermal hydrolysis and pyrolysis system is required.

3. The operational experience of continuous thermal hydrolysis and/or pyrolysis sludge treatment system is must.

4. Good skill in site trouble shooting is required.

5. Excellent in Chinese is required for you to understand the technical document in Chinese.

6. Good team player who can work independently.

Job description:

• Handle and maintain full set of accounts for holding company, liaise with overseas finance team on inter-company reconciliations and month end closing etc.
• Monthly maintenance of divisional finance report template
• Process all vendor invoices and payments on a timely basis
• Assist on budget exercise
• Prepare relevant audit schedules
• Liaise with external auditors
• Perform ad hoc tasks assigned

Job requirements:

• Diploma/Bachelor's degree in Accounting/Finance, or a related field, or equivalent experience
• 2 to 3 years work experience
• Proficiency in Microsoft Excel, Word and PowerPoint
• Meticulous, committed and detail oriented

Leader is a high-tech environmental technology provider listed on SGX. As a Research Engineer specializing in control algorithms, you will play a crucial role in designing, building, and implementing optimal control algorithms based on machine learning models for wastewater treatment processes in a dynamic and fast-paced environment.

Fluency in Chinese is a requirement for this role, as you will be communicating with Chinese clients.

In this role, you will be involved with the end-to-end development and implementation of the optimal control algorithm based on the ML model for the wastewater treatment process. In addition, you will be expected to translate state-of-the-art control techniques into working products and deploy them at scale. Our technology team has developed innovative solutions in the wastewater treatment area and we are heading towards the next phase of innovative solutions.

Responsibilities:

1. Conduct high-quality studies on data-based/model-based process control for optimizing wastewater processes

2. Develop control algorithms based on model predictive control (MPC) using machine learning models

3. Develop multi-parameter systems for different optimal control scenarios

4. Deploy optimal control algorithms in real wastewater treatment plants

5. Adjust algorithms based on feedback from real-world applications

Requirements:

1. Master or PhD degree in an engineering-related field with a minimum of two years of relevant work experience

2. Strong programming skills in Python or other languages

3. Experience with control algorithms such as linear and nonlinear control, robust control, adaptive control, and model predictive control

4. Good knowledge of machine learning algorithms

5. Hands-on experience testing control algorithms with real hardware implementation

6. Strong problem-solving skills and ability to work independently

7. Excellent communication and teamwork skills

Responsibilities:

1. Evaluate and solve the operational issues of WWTP

2. Calculate the energy and chemical cost-saving potential based on the site visit or operating data

3. Prepare the Artificial Intelligence ("AI") technology proposal to optimize the WWTP operation and attend the technical defense meetings

4. Prepare the AI technology implementation proposal for the WWTP

5. Lead engineering team to perform commissioning and troubleshooting activities

6. Support operational team to optimize the operation of the WWTP

7. Develop technology and prepare patents

8. Other activities assigned by the management

Requirements:

1. Master in Environmental Engineering or Chemical Engineering or equivalent

2. Experience in wastewater treatment and sludge treatment is required

3. Minimum 5 years of experience in wastewater treatment is required

4. On-site solving and optimizing the wastewater treatment plant operational issues experience is required

5. Good skills in technical documents, such as patent preparation, are required

6. Wastewater plant design experience is preferred

7. Good knowledge of modeling and AI technology is preferred

8. Fluent in both written and spoken English and Chinese as you need to communicate with Chinese clients and prepare the technical proposal in Chinese

9. Strong problem-solving, analytical, and conceptual skills, with good communication skills

Good team player who can work independently

Leader is a high-tech environmental technology provider listed on SGX. As a Machine Learning Engineer, you will play a crucial role in designing, building, and implementing our AI solutions for wastewater treatment processes in a dynamic and fast-paced environment.

Fluency in Chinese is a requirement for this role, as you will be communicating with Chinese clients.

In this role, you will be involved with the end-to-end development and implementation of machine learning models to predict wastewater treatment processes. In addition, you will be expected to translate the state-of-the-art techniques into products and deploy them at scale. Our technology team has developed innovative solutions in the wastewater treatment area and we are heading towards the next phase of innovative solutions.

Responsibilities:

1. Perform exploratory data analysis (EDA) and translate data into actionable insights

2. Develop various machine learning models to simulate wastewater treatment processes

3. Conduct studies to enhance the performance of machine learning models

4. Develop techniques to streamline machine learning workflows

5. Deploy machine learning models in real projects

Requirements:

1. Master or PhD degree in an engineering-related field with at least two years of relevant work experience.

2. Fluent in Chinese (both spoken and written) for client communication

3. Proficient in Python programming

4. Strong knowledge of machine learning algorithms, including tree-based models (XGBoost, LightGBM) and neural network models (RNN, LSTM)

5. Familiarity with the entire model lifecycle from data preprocessing to deployment

6. Passion for developing machine learning algorithms for real-world applications

7. Strong problem-solving skills and ability to work independently

8. Excellent communication and teamwork skills