Total 8 Internship level Engineering job vacancies

職位描述：

• 成為產品開發團隊的一員

• 專案管理

• 電路設計、原理圖和PCB。

• 功能、EMC 和安全測試。

• 設計和實現嵌入式設備和系統的軟體。

故障排除、產品測試和研發流程文檔

津貼和福利

• 事假
• 開放文化
• 個人發展機會
• 提供津貼 RM 1000

About Us

Epic Medical is cutting-edge medical device company focused on the development of advanced medical devices and healthcare solutions. As part of our team, you will gain hands-on experience working on real-world projects that make a difference in patient care and medical innovation.

Position Overview

We are seeking a highly motivated Biomedical Engineering Intern to join our dynamic team. The intern will assist in the design, development, and testing of medical devices, as well as collaborate with cross-functional teams to ensure product quality and regulatory compliance. This is a unique opportunity to gain valuable experience in the biomedical engineering field and work on innovative technologies.

Key Responsibilities

• Assist in the design, prototyping, and testing of biomedical devices and systems.
• Support the development of technical documentation, including reports, protocols, and user manuals.
• Collaborate with engineering, quality assurance, and regulatory teams to ensure compliance with industry standards (e.g., ISO, FDA).
• Assist in the preparation of regulatory submissions and documentation.
• Work on projects related to improving existing medical products or developing new products.
• Participate in team meetings, project planning, and brainstorming sessions.
• Provide technical support to other departments, as needed.

Qualifications

• Currently enrolled or completed a Bachelor’s program in Biomedical Engineering or a related field.
• Basic knowledge of biomedical devices, materials, and regulatory requirements is preferred
• Strong analytical and problem-solving skills.
• Ability to work both independently and as part of a team.
• Detail-oriented with good organizational skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).

What We Offer

• Hands-on experience in the medical device industry.
• Mentorship from experienced professionals in the field.
• Opportunity to work on innovative healthcare technologies.
• Potential for full-time employment based on performance.

How to Apply

To apply, please submit your resume, cover letter, and any relevant project portfolios. We look forward to having you as part of our team and contributing to the future of healthcare!

We are seeking a final-year Computer Science or Engineering student (any discipline with strong programming skills) for a minimum 6-month internship. As part of our consulting team, you’ll work closely with senior consultants, gaining exposure to a variety of technology areas including GenAI, Retrieval Augmented Generation (RAG), Robotic Process Automation (RPA), system development, support, API development, and dashboarding.

Examples of Tasks for Software Engineering Interns at Our Firm:

1. Support in Client Engagements

· Assist senior consultants in gathering and analyzing client requirements to understand how software solutions can address specific business challenges.

· Help in preparing materials for client meetings and presentations, ensuring clear communication of project scopes and objectives.

2. Software Development and Engineering Support

· Contribute to the design and development of software applications, working on both frontend and backend tasks with technologies like Python, React.js, and JavaScript.

· Assist in developing secure and scalable APIs, integrating third-party services, and managing database interactions.

· Participate in system support tasks, helping to troubleshoot and optimize application performance.

3. Dashboarding and Data Visualization

· Support the creation of dashboards and data visualization tools, enabling clients to better interpret data insights.

· Assist in integrating data sources and ensuring dashboards provide real-time, actionable insights.

4. Automation and Process Optimization

· Contribute to automation projects, including those utilizing RPA (Robotic Process Automation), learning to streamline business processes and reduce manual tasks.

· Gain experience in configuring automation scripts, focusing on enhancing operational efficiency and minimizing repetitive tasks.

5. Collaborative Project Work

· Engage in collaborative work with cross-functional teams, providing software engineering support and learning from a multidisciplinary approach to project execution.

· Participate in project meetings and discussions, gaining exposure to project management practices and contributing to shared objectives.

6. Innovation and Continuous Learning

· Support innovation initiatives by assisting in research and the exploration of new software engineering technologies and methodologies.

· Stay informed about the latest trends in software development, contributing to the team's knowledge base.

This role is ideal for students eager to gain hands-on experience across various aspects of software engineering within a consulting environment, guided by seasoned professionals.

Our focus technologies:

• Generative AI Automation

• Graph Deep Network Linkage Analytics with Graph Data Science

• Generative AI Analytics

• Generative AI Retrieval-Augmented Generation (RAG)

• Logical First Data Management

Your Profile

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, or related fields with a strong background in AI, data science and programming. Proficiency in SQL and Python programming is required.

Exposure to any of the following would be advantageous:

• Full stack development

• Graph Data Science: Neo4j, AWS Neptune

• GenAI/LLM

• Cloud Cognitive Services (Azure – Cognitive Services, AWS – Bedrock, Sagemaker, GCP – Vertex AI)

• Automation Tools: Intelligent Document Processing (IDP) (Laiye, UiPath, Abbyy) and Robotic Process Automation (RPA)

• Logical First Data Approach (Denodo)

• Object-oriented programming (C++, Java)

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

Why join us?

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

We are an equal opportunity employer and welcome applicants from all backgrounds.

Description:

Collaborate with our AI team to tackle complex challenges by developing cutting-edge algorithms and machine learning models. You'll gain hands-on experience in data preparation, model development, testing, and cross-functional collaboration while contributing to the integration of AI solutions into our existing software products.

Responsibilities:

• Research and Development: Collaborate with the AI team to conduct research and develop algorithms and models for solving complex problems.
• Data Preparation: Assist in collecting, cleaning, and preprocessing data for training and testing machine learning models.
• Model Development: Work on the design and implementation of machine learning models and algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Testing and Evaluation: Evaluate model performance, conduct experiments, and fine-tune models to achieve optimal results.
• Documentation: Maintain clear and organized documentation of code, experiments, and findings.
• Collaboration: Collaborate with cross-functional teams to integrate AI solutions into existing software products.

Qualifications:

• Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming skills in Python or another relevant programming language.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with machine learning libraries and frameworks is a plus (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.
• Eagerness to learn and a strong desire to work on AI projects.

• Collaborate with the software development team to understand project requirements and objectives.
• Participate in software testing activities, including writing test cases, executing tests, and identifying defects.
• Perform technical analysis of software systems, including code review, performance analysis, and troubleshooting.
• Assist in the design and implementation of automated testing frameworks and tools to streamline testing processes.
• Work on automation projects to improve efficiency and reliability in software development and testing.
• Document findings, analyze results, and provide recommendations for improvement.
• Communicate effectively with team members and stakeholders to ensure project goals are met.

• Build docker/container to distribute vehicle application on multiple environments
• Learn docker, build and deploy docker
• Build vehicle python app and deploy via docker
• Prepare cloud and edge environment to run above docker/container

Responsibilities:

· Drafting and design 2D and 3D models for projects using design software.

· Prepare reports and documents related to projects.

· Create service requests and service orders in system.

· Collaborate with operation team to ensure accurate and timely project deliverables.

· Contribute to the team by sharing ideas and updates on projects.

· Perform any other ad-hoc duties as and when necessary.

Requirements:

· Relevant Degree or Diploma in Architecture, Engineering or Interior Design are preferred.

· Proficiency in design software (AutoCAD & Sketch Up).

· Responsible, reliable, willing to learn.

· Strong attention to detail and the ability to handle multiple tasks efficiently.

· Good communication skills, both verbal and written.

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

·       Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

·       Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

·       Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

·       Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

·       Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

·       Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

·       Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

·       Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

·       Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

·       Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

·       Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

·       Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

·       Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

·       Excellent written and verbal communication skills.

·       Strong analytical skills, attention to detail, and problem-solving abilities.

·       Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

·       An inquisitive mindset, coupled with a desire for continuous learning and growth.