About us(About SLB)

We are a global technology company, driving energy innovation for a balanced planet.​

Together, we create amazing technology that unlocks access to energy for the benefit of all.​

Our inclusive culture is the key to our success. We collaborate with our internal community of colleagues, alumni, and our valued external partners to support each other and achieve our goals. We aim to raise the bar high. We look for people who are committed to innovation and success and act with integrity to become and be a part of one of the most diverse group of experts in our industry, anywhere around the globe.

Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

Mechanical Engineer (Design / Drilling equipment)

Roles and Responsibilities:

• Provides repair recommendations of customer equipment that are cost effective, follow the standard practices of the facility, and are in accordance with industry requirements.
• Provides engineering support to the facility, vendors, and customers during the repair process to ensure project is completed successfully
• Prepare drawings, information and documentation which meets engineering standards to enable the manufacturing group and other departments to produce and market the Company's product
• Carry out product analysis and work under the guidance of more senior Engineers to meet customers' and/or the industry's needs.
• Evaluate equipment condition and specify remanufacture.
• Work within stated procedures to ensure that design records/controls are maintained.
• Be familiar with company products, design principles, manufacturing techniques and industry standards.
• Interface with other Engineers, vendors, and customers to successfully complete repair, assembly and testing of project equipment

Qualifications and Experience:

• Bachelor of Science in Engineering, Mechanical field with minimum 1 to 3 years relevant experience
• Passionate in engineering initiatives and improvement process

MAIN FUNCTIONS:

• Form A license holder and other license as required by regulatory.
• Liaise with regulatory body regarding pharmaceutical compliance affair.
• To update local and overseas countries on regulatory requirement for implementation.
• Involved in day-to-day pharmaceutical manufacturing operations and ensure compliance to PIC/S GMP standard.

RESPONSIBILITIES:

• To assist in maintenance of product license with local and overseas authority.
• To prepare product registration dossier for local and overseas market.
• To assist in regulatory audits and response to the authority query.
• To assist post-marketing product query or correspondence and work closely with QA/QC department pertaining to product quality issue.
• Responsible for all dispensing materials and activities to use in production.
• Maintenance of controlled drugs and records, including the storage and sale.
• Review and update SOP relating to the production periodically.
• Together with Production Manager, handling and managing of production issue raised by the production team.
• Work together with QA to arrange training to production staff on SOP and cGMP.
• Work closely with QA/QC department to maintain cGMP standard.
• Support Beacons E-Commence project.
• Be involved in other company projects.

REQUIREMENTS:

• Candidate must possess at least Bachelor's Degree of Science (Pharmacy).
• At least 3 Year(s) of working experience in the related field is required for this position.

Other Informations:

• 5 days week
• Permanent position with 2 years contract.

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in machine learning and AI-driven search and optimization algorithms for manufacturing applications. Cutting-edge algorithms will be deployed to support manufacturing decisions in (but not limited to),

• Multi-site/multi-enterprise inventory planning and control,
• Multi-resource production planning and scheduling,
• Value chain manufacturing decision support and decision-making

The key roles & responsibilities include, but are not limited to the following:

• Research into novel learning-centric optimization algorithms for efficient multi-resource planning and related value chain problems
• Working with a team of scientists and engineers to enhance the planning capabilities of existing or new enterprise decision-support systems
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

PhD in Computer Science, Data Science or Mechanical/Industrial/Electrical Engineering

7 years’ experience in developing and deploying machine learning and data analytics (for Senior Scientist).

• Strong leadership skills
• Programming/coding skills in developing AI and data analytics
• Skills in data modelling, machine learning, signal processing
• Good track record of publications
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in machine learning and AI-driven search and optimization algorithms for manufacturing applications. Cutting-edge algorithms will be deployed to support manufacturing decisions in (but not limited to),

• Multi-site/multi-enterprise inventory planning and control,
• Multi-resource production planning and scheduling,
• Value chain manufacturing decision support and decision-making

The key roles & responsibilities include, but are not limited to the following:

• Research into novel learning-centric optimization algorithms for efficient multi-resource planning and related value chain problems
• Working with a team of scientists and engineers to enhance the planning capabilities of existing or new enterprise decision-support systems
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science

Candidates with strong fundamentals in computing and AI are welcome. 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise (for Senior Scientist).

• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job duties：

Responsible for the daily production arrangement and management of the workshop, organize and coordinate the production according to the production plan issued by the planning department, ensure the completion of customer orders with good quality, quantity and delivery time, and achieve the targets of the workshop assigned by the production department.

1. Guided, supervised and checked the daily production arrangement and management, and organized the statistics and analysis of various production data

2. Responsible for the command and control of workshop production process to ensure the continuity and balance of production operations;

3. Supervise and inspect the implementation of the quality assurance system in the production process of the workshop, analyze the causes of unqualified products, review and improve the quality problems, and improve the qualified rate of products;

4. Responsible for the control and management of production costs in the workshop, and continuously reduce the production costs under the condition of stable quality;

5. Cooperate with relevant departments to verify and organize the application of new technology, new process and new equipment to improve labor productivity;

6. Responsible for organizing the implementation and inspection of 5S management and on-site management activities in the production workshop to implement safe production;

7. Responsible for the personnel management of production personnel in the scope of responsibility, such as probation, regular employment, transfer, promotion, overtime approval, leave, resignation, dismissal, etc

8. Responsible for organizing the management and maintenance of production equipment and tools in the workshop;

9. Hosted the morning meeting of the production workshop, and supervised the convening of the meetings of each shift and group;

10. Assign, train, guide, supervise, check and assess the work of each subordinate in the workshop;

11. Responsible for handling abnormal situations in the workshop and coordinating with other departments to ensure the normal operation of the workshop;

welfare :

specific negotiable;Provide working meals, birthday benefits, annual salary adjustment and promotion opportunities

58 RECRUITMENT PTE. LTD.

2 GAMBAS CRESCENT #06-22 SINGAPORE 757044

LICENSE NO:19C9772

TEL:67026282