Total 3 health beauty job vacancies in Information Technology category in d14 geylang eunos

About Innowave Tech

Innowave Tech: MANUFACTURING SIMPLIFIED

Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on computer vision and large-scale data analytics to meet the complex needs of our clients in the advanced manufacturing and semiconductor industry.

Job Description:

As a Data Engineer Intern (Equipment Health Analytics), you will develop data architecture and infrastructure for industrial IoT data. You will collaborate with cross-functional teams to build and maintain scalable and reliable data storage and data pipeline. This role offers a unique opportunity to work with innovative technologies and make a meaningful impact in a fast-evolving industry and is ideal for candidates with strong data engineering skills and interest in AI applications.

Key Responsibilities:

1. Design and implement multi-tenant data architecture for equipment sensor data.

2. Implement and maintain storage solutions across cloud and on-premises systems.

3. Build data quality validation frameworks and metadata management systems.

4. Document technical processes and data flows.

Requirements / Qualifications:

· Minimum Poly, Bachelor’s, or Master’s degree in Data Engineering, Computer Science, or related field.

· Self-motivated learner who quickly adapts to new tools and technologies.

· Strong problem solver with proven ability to complete complex tasks.

· Detail-oriented with high standards for work quality.

· Excellent communicator and team collaborator.

· Internship duration should be at least 3 months full time.

· Resume should indicate your forecasted internship dates.

Required Skill Sets:

· Python programming

· SQL and NoSQL databases

· Message queues or Redis

· Storage solutions: Cloud (Azure Blob, AWS S3) or On-premises (Ceph, MinIO)

· Data lake concepts and implementations

· Linux shell scripting and system administration

· Knowledge of the following is a plus:

- IoT data and manufacturing processes

- Basic understanding of data security principles

- Familiarity with DevOps practices

Screening questions:

• The intended internship period will be during your course of study?

• Are you students pursuing Computer Science disciplines?

• Are you able to commit for more than 3 months?

Outcome of Technical Skills and Competencies that Intern will learn:

· To identify and translate business and technical requirements into data architectures.

· To develop proficiency and practical experience in cloud and on-premises storage solutions.

· To build and maintain data pipelines while documenting technical processes and data flows effectively.

· To gain hands-on experience with tools and system administration for data engineering tasks.

· To collaborate effectively with stakeholders while adapting to new technologies and solving complex data engineering problems within deadlines.

Roles & Responsibilities

We seek a Software Developer Intern (Equipment Health Analytics) to join our data science team. You will develop AI-powered equipment health analytics software for manufacturing, oil and gas, and other industries. This role is ideal for candidates with strong software development skills and interest in AI applications.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

Your Role and Impact

As a Software Developer Intern (Equipment Health Analytics), you will develop AI-powered software for early detection and prediction of equipment failures. You will collaborate with cross-functional teams to build scalable data pipeline and deploy AI models. This role offers a unique opportunity to work with innovative technologies and make a meaningful impact in a fast-evolving industry.

What You’ll Do

1. Implement scalable backend system for data ingestion, cleaning, processing, and storage of IoT sensor data.

2. Develop AI model lifecycle management (MLOps) that includes training, versioning, monitoring, and automated deployment.

3. Perform system-wide integration and conduct comprehensive testing.

4. Prepare technical documentation.

What We’re Looking For

* Educational Background:

• Minimum Poly, Bachelor’s, or Master’s degree in Computer Science, Data Science, Engineering, or related fields.

* Technical Expertise:

• Backend software development and software testing.
• Databases, Docker / Kubernetes, Git, REST API / gRPC, and message queues.
• Linux shell scripting.
• AI or machine learning experience (highly desired).

* Soft Skills:

• Self-motivated learner who quickly adapts to new tools and technologies.
• Strong problem solver with proven ability to complete complex tasks.
• Detail-oriented with high standards for work quality.
• Excellent communicator and team collaborator.

* Bonus Skills:

• Manufacturing processes.
• Time-series / NoSQL database experience.

* Commitment:

• Internship duration should be 6 to 12 months full time
• Please indicate your forecasted internship period in resume.

Why Join Us?

• Work on pioneering AI projects transforming the semiconductor industry.
• Collaborate with and learn from industry experts in AI, automation, and data science.
• Enjoy a dynamic, innovative, and supportive work environment that encourages creativity.

Ready to Transform the Future?
Join us to lead innovation in automation and shape the future of smart manufacturing! We look forward to welcoming individuals who are passionate, proactive, and ready to make a difference. Apply today!

Purpose of the Position

The Director Software Engineering, Singapore, directs and coordinates activities related to the design, development and implementation of software systems for products.

He/She is responsible for defining development- and test strategies and processes.

He/she manages one or more subordinate development teams.

Your Responsibilities

· Responsible for the strategic and day-to-day management of medical/non-medical software development for cloud/client/server and/or programmer Software.

· Develops state-of-the-art Software development processes in accordance of standards (62304) and BIOTRONIK QM system and align with Software development processes in HQ and other BIOTRONIK development sites.

· Budget- and cost center management responsibility.

· Transform cost targets from Senior Managements into strategy that meets business needs in cooperation with subordinate manager.

· Personnel responsibility including recruiting, personnel development, agreement on objectives and performance appraisals, directs multiple development groups.

· Provide technical direction in the design, development and testing software systems, subsystems, components, and frameworks for the meeting of their respective specifications and general requirements.

· Oversee the software development life cycle and resolve complex problems.

· Manage technical resources and human resources in software development project as well as taking the lead in designing training programs to clients and subordinates.

· Manage key relationships with key stakeholders inside and outside our department.

· Oversee and review work of the team and monitor individual employees’ performance.

· Further duties and responsibilities can be assigned or reassigned by management at any time.

Your profile

· University degree (PhD., Master or Diploma) in Computer Science or related field

· More than 10 years’ experience in software development

· Theoretical and practical software engineering knowledge for regulated environment

· Software Quality Assurance strategies

· Technological overview in software development and Software test automation

· Demonstrated success in delivering complex software products to the Market in compliance with established schedules and within budget constraints

· Demonstrated success in leading multiple development teams in overcoming difficult technical challenges

· Understands large business demands and reacts with maturity; directs Software team accordingly; establishes positive change management

· Presents status and new ideas effectively to peers and upper management

· Demonstrated good communications and cross-cultural skills