Total 4 Manager payroll specialist job vacancies in Engineering category in Singapore

Responsbilities

• Ensure that materials, equipment, and personnel are used efficiently to produce high-quality products while minimizing costs.
• Proactively investigate and troubleshoot process failures.
• Identify areas for improvement, prioritize actions, and implement solutions to enhance overall operational performance.
• Supervise and guide engineers in investigating and resolving process issues.
• Facilitate process improvements and provide actionable recommendations to the Management Review Board (MRB).
• Maintain precise operation of processes and equipment, ensuring adherence to established protocols.

Requirement

• Bachelor’s degree in Engineering or a related field, or equivalent experience.
• At least 5 years of managerial experience with a proven track record of achieving results and leading change effectively.
• Familiarity with Six Sigma and Lean Manufacturing principles is highly desirable.
• Demonstrated ability to lead teams effectively and work collaboratively with others.
• Skilled in handling uncertainty and mitigating risks to ensure smooth operations.
• Excellent verbal and written communication skills, with the ability to interact effectively at all organizational levels.
• Strong planning, negotiation, and organizational skills to manage projects and drive initiatives.
• Extensive knowledge of manufacturing management techniques and best practices.

Interested candidates who wish to apply for the advertised position, please click on "Apply Now".

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

PERSOLKELLY Singapore Pte Ltd

EA License No : 01C4394 | Goh JunHong | Reg No: R1872577

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Your new role

-Develop and manage MLOps infrastructure to facilitate the deployment, scaling, and monitoring of machine learning models.

- Work collaboratively with data scientists and engineering teams to move machine learning models from development to production smoothly.

- Implement and manage automation tools for continuous integration, testing, and deployment of machine learning systems.

- Apply best practices in version control, testing, and containerization for machine learning models.

What you'll need to succeed

-Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

- Proven experience in MLOps, with a strong background in machine learning and DevOps practices.

- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and DevOps tools (e.g., Docker, Kubernetes, Jenkins).

- Knowledge of CI/CD pipelines, automation processes, and cloud infrastructure.

What you need to do now

If you're interested in this role, reach out to me directly at my email address ( [email protected]) with your updated CV. Referrals are always welcomed so feel free to forward this to anyone you know who might be good for this role.

EA Reg no: R22104585

EA License Number: 07C3924 | Company Registration No: 200609504D

Your new role

- Design and implement efficient, scalable, and secure infrastructure solutions.

- Manage and maintain existing IT infrastructure to ensure high availability and performance.

- Collaborate with IT and development teams to align infrastructure development with the company’s needs.

- Monitor infrastructure performance, identify bottlenecks, and implement optimizations.

- Ensure infrastructure security and compliance with industry standards and best practices.

- Stay updated on the latest trends and technologies in IT infrastructure and systems.

What you'll need to succeed

- Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or a related field.

- Proven experience in infrastructure design, implementation, and management.

- Familiarity with cloud services and platforms such as AWS, Azure, or Google Cloud Engine.

- Strong understanding of network architecture, data storage solutions, and system security.

- Proficiency in managing server environments, virtualization technologies, and containerization.

- Excellent problem-solving skills and attention to detail. - Effective communication skills in English.

- Ability to work collaboratively in a dynamic and evolving environment.

What you need to do now

If you're interested in this role, reach out to me directly at my email address ( [email protected]) with your updated CV. Referrals are always welcomed so feel free to forward this to anyone you know who might be good for this role.

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

EA Reg Number: R1660446

EA License Number: 07C3924

Company Registration No: 200609504D

DevOps Engineer (Multiple headcounts!)

6 to 12 months contract (extendable)

Your new role

· Develop and optimize the company's IT infrastructure, with a focus on cloud services in AWS, Azure, or Google Cloud Engine.

· Implement and manage continuous integration and continuous deployment (CI/CD) processes.

· Monitor and ensure high performance and reliability of the system infrastructure.

· Work closely with software development teams to align IT infrastructure with project requirements.

· Manage and secure cloud-based environments, ensuring compliance with industry standards.

· Stay updated on the latest trends in DevOps, cloud services, and related technologies.

What you need

· Bachelor’s or Master’s degree in Computer Science, IT, Software Engineering, or related fields.

· Extensive experience in DevOps methodologies and practices.

· Proficiency in cloud services and infrastructure management, particularly in AWS, Azure, or Google Cloud Engine.

· Knowledge of a range of DevOps tools (e.g., Docker, Kubernetes, Jenkins, Ansible).

· Strong scripting and automation skills.

What you'll get in return
This is an exciting opportunity to join a global company. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Denise at Hays on +65 9611 0531 or email [email protected] for a confidential discussion.

Referrals are welcome.

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D