Total 5 qa engineer job vacancies in d23 hillview dairy farm bukit panjang choa chu kang

To assist in the daily production operation, ensuring schedules of customer is met.

Create and develop quality reports based on drawings

Maintain measuring instruments calibration list.

Liaising with customers and suppliers

Fresh graduates are welcome to apply

Willing to learn and explore

Friendly environment

Engineering graduates prefer but open to others Diploma/ITE also

Versatile to different roles in the company

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

We are looking for an experienced AI Engineer with solid knowledge and experience in developing AI/ML systems, to accelerate incubation and delivery of new AI/ML based media and business capabilities.

You will be working with other engineers in the team to research, experiment, and build AL/ML models & algorithms utilizing various of data sources. You will be one of the problem solvers who utilises technology to address complex business needs.

The role reports to the AI Products & Solutions Lead and will work closely with other product teams within the digital department.

Responsibilities

• Implement scalable and robust AI/ML systems computing on large volumes of datasets using a variety of open source and proprietary Data Science technologies.
• Implement and integrate system components for service orchestration, scheduling, job status monitoring, model performance monitoring, failure recovery, APIs, and any other components required for a robust and reliable Machine Learning system spanning on-premises and cloud environments.
• Develop and implement data processing jobs and pipelines to provide standard, continuous, and scalable data input for future analytics and modelling needs.
• Write and automate unit, functional, integration and performance tests in a Continuous Integration environment.
• Work closely with stakeholders to ensure high standards of data governance during implementation.

• Bachelor's degree in Computer Science, Computer Engineering or related fields.
• 5+ years of software development experience with 3+ years in developing end-to-end AI/ML applications.
• Excellence in algorithms, data structure, discrete math, and distributed computing.
• Full stack experience in data collection, aggregation, analysis, visualization, and monitoring of AI/ML products (MLOps).
• Experience with basic software development skills, such as agile methodologies, testing, version control, and CI/CD.
• Proficiency in Programming languages (Python, Java, etc).
• Experience with Cloud Infrastructure, Kubernetes, Docker, GPU, TensorFlow, Pytorch & other Opensource AI/ML framework and libraries.
• Experience with SQL and/or NoSQL database.
• Experience working in Media & Entertainment industry is a strong plus.
• Self-directed, ability to work independently and research innovative solutions to technical and business problems.

What you will do

• Customer support responsibilities, ensuring timely and effective resolution of customer inquiries and issues
• Project management involvement, including planning, execution, and delivery
• Support marketing promotion activities to enhance product visibility and market presence
• Engage in clear and effective communication with customers to address their needs and concerns
• Aid in debugging and testing to ensure product quality and reliability

Required Skills

• Excellent proficiency in English and Mandarin, both written and verbal, to liaise with our affiliates from different regions.
• Preferred experience in display or scalar-related technologies
• Strong communication skills, with the ability to effectively convey technical concepts
• Desirable capability in system integration to facilitate seamless collaboration across different components and subsystems

Location: One North, Singapore

Rapsodo Inc. is a sports technology and analytics company that uses computer vision and machine learning to help all athletes maximize their performance. Our proprietary technology applications range from helping golfers of all abilities, including PGA professionals, to optimize their launch conditions, to allowing MLB pitchers to increase the efficiency on their breaking balls. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1,000 NCAA athletic departments.

We are seeking a highly skilled and experienced Radar System Engineer to lead the design, development, and validation of advanced radar systems. This role is critical in shaping our radar solutions by architecting cutting-edge systems, developing robust signal processing algorithms, and ensuring seamless integration with RF front-end components. You will play a pivotal role in optimizing system performance, conducting real-world testing, and collaborating with cross-functional teams to drive innovation in radar technologies.

Key Responsibilities:

• Architect and design radar systems, ensuring performance meets technical and operational requirements.
• Develop and validate signal processing algorithms and radar architectures.
• Architect and validate RF front-end systems, ensuring seamless integration with radar systems.
• Conduct testing, debugging, and validation of radar solutions in real-world environments.
• Collaborate with cross-functional teams on system integration, performance optimization, and troubleshooting.
• Perform circuit design and modifications to improve overall radar performance.

Skills & Qualifications

• Master’s degree in Electrical Engineering, RF Engineering, or a related field.
• Strong experience in radar system design, and signal processing.
• Proficiency with radar architecture, including system testing and validation.
• Solid understanding of circuit design principles.
• Ability to work independently and collaborate in cross-functional and diverse teams.
• Strong problem-solving skills and attention to detail.

Preferred Experience:

• Familiarity with industry-standard RF design tools and testing equipment.
• Experience in radar system performance evaluation and optimization.
• Knowledge of various radar technologies and applications.
• Having hands on RF design and validation experience in 24, 60 or 77 GHz is preferred.

If you are excited about the prospect of contributing to a dynamic, innovative, and driven environment while also being able to work independently, we invite you to submit your application.

The Job

• Develop timing/power/noise characterization flow for advanced node memory compiler.
• Strong focus on design automation for SRAM compiler, big data analysis and design verification.
• Develop memory analysis flow for PPA check.
• Design and develop the layout for integrated circuits according to electronics engineering principles, using software to create design schematics and diagrams.

The Talent

• Bachelor's Degree (with min. 8 years of relevant industry experience) /Masters Degree (with min. 6 years of relevant industry experience)/ PhD in Electrical and Electronic Engineering/Computer Engineering/Computer Science.
• Knowledge of SRAM/ROM memory functionality and high speed, low power memory design architecture.
• Experience in spice simulation and understand CMOS layout view, Verilog coding is preferable.
• Proficient in script programming with Perl or Python3.