5 Molding Technician jobs in Malaysia

We are seeking dedicated and detail-oriented professionals to join our Quality Assurance Department , specializing in the injection molding industry . This department plays a critical role in ensuring that all materials, components, processes, and finished products meet our company's strict quality standards and customer expectations.

We're currently hiring for the following positions:

1) Supplier Quality Engineer (SQE)

• Manage and evaluate supplier performance
• Handle supplier audits, PPAP, and corrective actions
• Ensure compliance to incoming material specifications

2) Incoming Quality Control (IQC) Engineer/Technician

• Inspect and verify quality of incoming raw materials and components
• Perform dimensional checks, documentation review, and lot acceptance
• Collaborate with purchasing and production to resolve non-conformities

3) Customer Quality Engineer (CQE)

• Handle customer complaints, audits, and quality reporting
• Lead root cause analysis and corrective actions
• Maintain positive and professional communication with customers

4) Quality Control (QC) Technician/Engineer

• Conduct in-process and final product inspections
• Perform measurement using tools such as calipers, micrometers, CMM
• Ensure compliance to ISO standards and internal quality procedures

Who We’re Looking For:

• Candidates with Diploma/Bachelor’s in Engineering, Quality, or related field
• Strong knowledge of quality tools and standards (5Why, 8D, FMEA, SPC, ISO9001)
• Ability to use measuring instruments and perform root cause analysis
• Excellent communication and problem-solving skills
• Experience in injection molding industry is a strong advantage
• Chinese language proficiency is preferred for communication with key stakeholders

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Manufacturing, Production, and Engineering
• Industries Rubber Products Manufacturing and Plastics and Rubber Product Manufacturing

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Batu Kawan, Penang, Malaysia 15 hours ago

Batu Kawan, Penang, Malaysia 15 hours ago

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Duties and Responsibilities:

• Provides deep technical expertisein the aspects of cloud infrastructuredesign and APIdevelopment for the business environments.
• Bridgesthe gap between data scientists and software engineers, enabling the efficient and reliable delivery of ML - powered solutions
• Ensures solutions are well designedwith maintainability/ease of integration and testing across multipleplatforms.
• Possess strong proficiency in development and testing practices common to the industry

• Working closely with data scientists, ML engineers, and other stakeholders to deploy ML models
• Setting up and maintaining cloud and edge infrastructure for MIL models deployment
• Design, implement and maintain scalable infrastructure for ML workloads
• Good verbal and written communication skills
• Collaborative and oriented

• Minimum 2 years of hands-on experience managing cloud infrastructure (e.g. AWS,GCP,Azure) in a production environment
• Hands-on experience with Kubernetes for container orchestration, scaling and deployment of ML services
• Familiar with Helm charts, ConfigMaps, Secret and autoscaling strategies

• Proficient in building and maintaining RESTful or gRPC APIs for ML inference and data services
• Experience in message queue integration such as RabbitMQ or ZeroMQ for asyncronous communication, job queuing or real-time model inference pipelines

• Proven experience working with relational databases (RDBMS) such as Microsoft SQL Server and PostgreSQL.
• Proficient in schema design, writing complex queries, stored procedures, indexing strategies, and query optimization.
• Hands-on experience with vector search and embedding-based retrieval systems.
• Practical knowledge using FAISS, LanceDB, or Qdrant for building similarity search or semantic search pipelines.
• Understanding of vector indexing strategies (e.g., HNSW, IVF), embedding dimensionality management, and integration with model inference pipelines.

• Demonstrated expertise in building scalable and maintainable API services using Python frameworks such as Flask, FastAPI, or Litestar.
• Fluent in HTML, CSS, and JavaScript for building simple web-based dashboards and monitoring interfaces.
• Experience with Go, C++, or Rust is a strong plus, especially for performance-critical or low-latency inference applications.

• Experience in integrating models using NCNN, MNN, or ONNX Runtime Mobile on mobile and edge devices.
• Familiarity with quantization, model optimization, and mobile inference profiling tools.

• Experience with Docker/Podman, CI/CD pipelines, Git, and ML lifecycle tools such as MLflow, Airflow, or Kubeflow.
• Exposure to model versioning, A/B testing, and automated re-training workflows.

• Ability to set up monitoring (e.g., Prometheus, Grafana) and logging (e.g., ELK stack, Loki) to track model performance and system health.

• Strong analytical and troubleshooting skills.
• Able to work closely with data scientists, backend engineers, and DevOps to deploy and maintain reliable ML systems.
• Excellent communication and documentation habits.