Total 12 legal intern job vacancies in Maintenance / Repair category in Singapore

About the Role

We are seeking a curious Machine Learning Intern to join our ML team. In this role, you will work on ML projects focused on enhancing cybersecurity, improving data protection and building robust ML infrastructure.

**Experience with Cybersecurity is not required.**

Key Responsibilities

• Develop and implement machine learning/deep learning models for security threat detection and prevention
• Conduct research and stay up-to-date with the latest advancements in NLP
• Design and implement NLP models and techniques for text classification, named entity recognition and text generation
• Perform inference and model evaluation
• What we are looking for
• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics or related field
• Strong programming skills in Python and experience with ML frameworks (PyTorch, Transformers, Scikit-Learn, etc.)
• Experience with NLP concepts and techniques
• Familiarity with version control systems
• Strong problem-solving skills, analytical mindset, and attention to detail.
• Excellent communication and documentation skills
• Curiosity

Preferred Qualifications

• Knowledge of MLOps tools and practices
• Experience with data privacy and protection techniques

What you will learn

• Implementing current ML research
• Model experimentation and optimization strategies

Duration

• 3-6 months, full time

Location

• Onsite

About us:

Theme International Trading, a subsidiary of Theme International Holdings Limited (listed on the Hong Kong Exchange: 0990.HK), is headquartered in Singapore. As a premier liquidity provider for listed derivatives across various exchanges, we empower our team and leverage advanced technology to drive exceptional performance and returns.

Established in 2018, we have grown into a leading market maker in diverse commodity derivative markets. As we continue to expand into a broader range of asset classes and products, we are seeking driven individuals with high integrity to join our dynamic and collaborative team.

Position Overview:

We are seeking a motivated student with a strong background in machine learning and experience with Large Language Models (LLMs) to join our team as a Machine Learning Intern. The successful candidate will help refine our text-to-price extraction algorithm, enhancing both accuracy and latency to support our traders with real-time market insights.

Key Responsibilities:

• Algorithm Enhancement: Collaborate with our development team to improve the existing text-to-price extraction logic using machine learning techniques.
• LLM Integration: Utilize current prevalent Large Language Models to interpret and extract price information from unstructured text messages.
• Azure AI Services: Work with Azure AI Service to implement and fine-tune models, optimizing them for higher accuracy.
• Latency Optimization: Develop solutions to reduce processing time, ensuring that price information is extracted and delivered to traders as quickly as possible.
• Data Analysis: Analyse limitations of the current rule-based system and propose innovative machine learning approaches.
• Documentation: Document the development process, methodologies, and findings for knowledge sharing and future reference.

Qualifications:

• Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Machine Learning Expertise: Solid understanding of machine learning concepts and algorithms.
• Experience with LLMs: Familiarity with Large Language Models and natural language processing techniques.
• Programming Skills: Proficiency in programming languages such as Python; experience with machine learning libraries (e.g., TensorFlow, PyTorch) is a plus.
• Azure Proficiency: Experience or coursework related to Azure AI Services or other cloud-based AI platforms.
• Problem-Solving Skills: Strong analytical skills with the ability to tackle complex problems.
• Team Player: Excellent communication skills and the ability to workcollaboratively in a team environment.
• Interest in Finance (Optional): A keen interest in financial markets and trading systems is advantageous but not required.

Enjoy These Perks:

o On-Site Gym & Showers: Stay active and refreshed with our fully equipped gym, complete with shower facilities—right at the office!

o Fully Stocked Pantry: Indulge in a variety of snacks, beverages, and essentials throughout the day.

o Weekly Yoga Classes: Unwind and recharge with private, professional-led yoga sessions every week.

o Daily Lunch Provided: No need to worry about meal prep—we provide delicious lunches every day so you can focus on what matters most.

HOW TO APPLY

· Interested applicants please submit your CV and cover letter directly to [email protected]

MISSION

The mission of the Intern during the Defects Liability Period (DLP) of our AMK 2900 campus extension, is to ensure the successful completion of the DLP process and the delivery of a high-quality, defect-free building.

This involves:

• Identifying and reporting defects promptly.
• Coordinating the timely rectification of defects.
• Ensuring compliance with contractual obligations.

RESPONSIBILITIES

Primary Responsibilities:

1. Defect Identification and Reporting:

• Conduct regular inspections of the building to identify any defects or non-conformities.
• Document and report all defects to the contractor in a timely manner, providing clear descriptions, photos, and measurements.
• Coordinate with facilities management and end-users to gather feedback and identify potential defects

2. Defect Rectification Coordination:

• Liaise with the contractor to schedule defect rectification works.
• Monitor the progress of rectification works, ensuring they are completed to the required quality standards and within the stipulated time frame.
• Follow up with the contractor to ensure timely completion of rectification works.

3. Documentation and Record Keeping:

• Maintain a comprehensive record of all identified defects, including their descriptions, locations, rectification dates, and outcomes.
• Document the communication and coordination with the contractor regarding defect rectification.
• Prepare regular progress reports on the DLP process.

4. Quality Assurance:

• Verify the quality of defect rectification work, ensuring it meets the original design specifications and building codes.
• Conduct inspections after rectification works are completed to confirm that the defects have been adequately addressed.

5. Compliance Monitoring:

• Ensure that the contractor is complying with all contractual obligations related to the DLP.
• Monitor the contractor's performance and report to the FSS Director to take appropriate action if necessary.

6. Communication and Coordination:

• Act as a liaison between the building owner, contractor, and relevant stakeholders.
• Communicate effectively with all parties involved in the DLP process.
• Address any concerns or issues that may arise during the DLP period.

Additional Duties:

• Prepare and submit monthly progress reports.
• Coordinate with consultants or experts as needed for specialized inspections or assessments.
• Participate in periodic meetings with the Facilities Management team and contractor.
• Assist in the preparation of any necessary documentation for legal or insurance purposes.
• Maintain a database of all defects and rectification activities.
• Assist in the preparation of handover documents at the end of the DLP period.

Job Requirements

Education: In fields such as construction management, civil engineering, architecture, or related disciplines.

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Intern to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Currently pursuing a master’s or bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to [email protected].

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Highlights

===========

• Great opportunity for ITE and Polytechnic students looking for exposure in event audio visual
• Ability to upskill and learn new things
• Opportunities to try out and be exposed to new technologies
• Casual environment

Job Description

=============

• Operation of all audio-visual equipment with the aim to provide high quality technical standards
• Setup and teardown of AV equipment, led wall
• Setup, program and teardown of analog and digital audio mixer at events
• Setup and teardown of lighting
• Ensure that the audio-visual equipment is tested and in correct working order before use at an event
• Investigate equipment faults and recommend actions to rectify
• Maintain audio visual equipment including routine inspections and preventative maintenance
• Maintain a strong working knowledge of video and audio equipment, LED video wall, wireless technology, computers, projectors, and video conferencing equipment
• Coordinate integration with specialty audio visual equipment as needed
• Responsible for cord management & safe set up and dismantle
• Provide regular feedback to Company on communication issues and service improvements
• Liaison with project manager regarding the exact audio-visual requirements for events. This will include assistance with PowerPoint presentations, audio and video conferences

General Requirements

===================

• Singaporeans or PR ONLY
• ITE or Polytechnic students looking for exposure in event audio visual
• Highly responsible, punctual and good time management
• Attention to details and well organised
• Good communications and interpersonal skills
• Team player with good discipline and working attitude
• Service-oriented mindset
• Flexibility to work irregular hours and weekends as required by event schedules
• Versatile, willing and flexible to take on broad spectrum of tasks and new tasks
• Adaptable to changes, stress, and last minute nature of events industry
• Passion about Audio Visual Technology and learning new technologies
• Positive, can do attitude
• Calm and level headed
• Good problem solver
• 5.5 day work week
• Class 3 driving licences will be an added advantage but not required

Job Highlights

===========

• Great opportunity for ITE and Polytechnic students looking for exposure in event audio visual
• Ability to upskill and learn new things
• Opportunities to try out and be exposed to new technologies
• Casual environment

Job Description

=============

• Operation of all audio-visual equipment with the aim to provide high quality technical standards
• Setup and teardown of AV equipment, led wall
• Setup, program and teardown of analog and digital audio mixer at events
• Setup and teardown of lighting
• Ensure that the audio-visual equipment is tested and in correct working order before use at an event
• Investigate equipment faults and recommend actions to rectify
• Maintain audio visual equipment including routine inspections and preventative maintenance
• Maintain a strong working knowledge of video and audio equipment, LED video wall, wireless technology, computers, projectors, and video conferencing equipment
• Coordinate integration with specialty audio visual equipment as needed
• Responsible for cord management & safe set up and dismantle
• Provide regular feedback to Company on communication issues and service improvements
• Liaison with project manager regarding the exact audio-visual requirements for events. This will include assistance with PowerPoint presentations, audio and video conferences

General Requirements

===================

• Singaporeans or PR ONLY
• ITE or Polytechnic students looking for exposure in event audio visual
• Highly responsible, punctual and good time management
• Attention to details and well organised
• Good communications and interpersonal skills
• Team player with good discipline and working attitude
• Service-oriented mindset
• Flexibility to work irregular hours and weekends as required by event schedules
• Versatile, willing and flexible to take on broad spectrum of tasks and new tasks
• Adaptable to changes, stress, and last minute nature of events industry
• Passion about Audio Visual Technology and learning new technologies
• Positive, can do attitude
• Calm and level headed
• Good problem solver
• 5.5 day work week
• Class 3 driving licences will be an added advantage but not required

Job Highlights

===========

• Great opportunity for ITE and Polytechnic students looking for exposure in event audio visual
• Ability to upskill and learn new things
• Opportunities to try out and be exposed to new technologies
• Casual environment

Job Description

=============

• Operation of all audio-visual equipment with the aim to provide high quality technical standards
• Setup and teardown of AV equipment, led wall
• Setup, program and teardown of analog and digital audio mixer at events
• Setup and teardown of lighting
• Ensure that the audio-visual equipment is tested and in correct working order before use at an event
• Investigate equipment faults and recommend actions to rectify
• Maintain audio visual equipment including routine inspections and preventative maintenance
• Maintain a strong working knowledge of video and audio equipment, LED video wall, wireless technology, computers, projectors, and video conferencing equipment
• Coordinate integration with specialty audio visual equipment as needed
• Responsible for cord management & safe set up and dismantle
• Provide regular feedback to Company on communication issues and service improvements
• Liaison with project manager regarding the exact audio-visual requirements for events. This will include assistance with PowerPoint presentations, audio and video conferences

General Requirements

===================

• Singaporeans or PR ONLY
• ITE or Polytechnic students looking for exposure in event audio visual
• Highly responsible, punctual and good time management
• Attention to details and well organised
• Good communications and interpersonal skills
• Team player with good discipline and working attitude
• Service-oriented mindset
• Flexibility to work irregular hours and weekends as required by event schedules
• Versatile, willing and flexible to take on broad spectrum of tasks and new tasks
• Adaptable to changes, stress, and last minute nature of events industry
• Passion about Audio Visual Technology and learning new technologies
• Positive, can do attitude
• Calm and level headed
• Good problem solver
• 5.5 day work week
• Class 3 driving licences will be an added advantage but not required

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Intern to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Currently pursuing a master’s or bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to [email protected].

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Intern to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Currently pursuing a master’s or bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to [email protected].

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities:

• Coordinate with maintenance contractors, review checklists and ensure customer D.O sign-off within the required time.
• Support Data analytics team with ongoing improvement for automation of data gathering, analysis and reporting, including fault detection and root cause identification
• Assist and maintain comprehensive energy conservation action plan with ongoing efforts and include short term, long-term goals
• Prepare operational and maintenance schedule as per the MIS
• Remote monitoring of the system operation and performance and to contact the respective site in any emergency.
• Work with internal teams and deliver the work according to the planned schedule.
• Collaborate with Internal teams regarding any controls and programming related onsite work.

Qualifications:

• Currently pursuing a Bachelor’s degree in Electrical & Electronic Engineering, Electrical Engineering, Mechanical Engineering, Sustainable Infrastructure Engineering (Building Services) or any related field.
• A willingness to learn and work in a team environment.
• Strong communication skills, ability to work autonomously and independently.
• Self-starter with strong analytical and troubleshooting skills.
• Ability to commit at least 5 months of internship (July 2024 - December 2024)

• Responsible for detailed set-up and implementation of necessary processes with Bosch Facility departments and IFM provider.  

• Prepare reports on implementation status, follow up on open topics. 

• Link between IFM core team and sites; participation in regular IFM meetings and workshops at cluster level.  

• Monitoring schedule & results in the cluster; support of the entire transition phase in the cluster. 

• Support colleagues at sites and clusters. 

• Supervise and safeguard performance of IFM provider. 

• Be the interface to Bosch internal departments.