Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented MLOPs Software Engineer with an interest in finance to join our growing team in our Singapore office.

Responsibilities

• Focuses on MLOps from model training, model evaluation to trading evaluation. Portfolio to be requested here.
• Develop large-scale deployment of GPU nodes running in dozens of Kubernetes clusters across regions. Core technologies may include: CUDA, Python, PyTorch, Triton, Redis, NCCL, NVLink.
• Develop simulation pipelines to scale the testing of hyperparameters for model training and for trading. The innovation here lies in ability to synchronize model parameters with financial trading parameters.
• Automate feature evaluation and experimentation for model training.
• Automate model training and model performance evaluation.
• Combine classical model evaluation with financial trading evaluation metrics such as Sharpe, Turnover, Fitness, Returns, Drawdown, Margin, Long Count, Short Count, Sector/Subindustry Allocations etc.
• Build, maintain, enhance model pipelines using MLOps and AIOps frameworks.
• Work with full suite of data and model infrastructure and integration i.e. SageMaker Studio or Vertex A.I.
• Work with Data Scientists to setup model monitoring and feedback systems.
• Part of a sub-team focusing on full autonomous AI Trading under a larger trading division.

Requirements:

• Bachelor’s and above. Software Engineering background would be preferred.
• Must have stack: CUDA, PyTorch, low level languages such as C++ or Go.
• Must have experiences (Any of these passes):
  • High scale distributed training and inference systems and ML systems.
  • Parallel and distributed computing with multiple gpus at once
  • High throughput scheduling as a service particularly at supercomputing scale.
  • Understand how to resolve Segmentation Faults
• Must have testing, debugging experiences: Unit Tests, Integration Tests, Errors Handling to ensure trading system remains fault tolerance and robust
• Must have orchestration tools: DAGs in Airflow or Prefect, MLFlow
• Must have deployment experiences: Docker, AWS, Load Testing etc
• Good to have network technologies inside and out

Our client is actively searching for a Senior Professional Officer - Food Technology to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

1. Design and deliver laboratory modules and practice sessions for students.
2. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP), providing guidance and support throughout their projects.
3. Manage labs and equipment to support academic programs and applied research, ensuring they are well-maintained and accessible to students and faculty.
4. Maintain safety standards in labs, implementing protocols and procedures to minimize risks.
5. Collaborate with Principal Investigators (PIs), Co-PIs, and team members to manage industry projects, ensuring all deliverables are met on time and within budget.
6. Demonstrate an innovative mindset in exploring, evaluating, and applying new technologies in food product, process, and packaging research and development.
7. Engage with customers to gather system requirements and define project scopes.
8. Participate in the full development life cycle of projects, including design, development, and testing phases.

The ideal candidate will need to have the following qualities and experience:

• A good degree in Food Science and Technology or a related field. A Masters or PhD would be advantageous.
• Minimum of 15 years of working experience with a proven track record of technical expertise, including at least 7 years of R&D experience in the food industry.
• Excellent knowledge and experience in food ingredients, packaging, and processing, with a deep understanding of their applications in food products.
• Strong understanding of food chemistry, microbiology, texture, and sensory evaluation, with proficient laboratory skills for food analysis preferred.
• Hands-on experience in quality control and food safety management is desirable.
• Experience in writing project grants would be an advantage.
• Extensive knowledge of industry practices to provide an industry perspective to the University.
• Keen interest in innovation projects, with demonstrated ability to solve technical problems and develop creative solutions.
• Strong supervisory skills and enjoyment of working closely with students in an educational environment.

This position offers an exciting opportunity to contribute to the advancement of food technology education and research while working in a collaborative and innovative environment. If you possess the required qualifications and are passionate about making a difference in the field of food science, we encourage you to apply.

The Team:

The DBS Investments and Trading Technologies (ITT) Data Team works with stakeholders across all pillars of the Global Financial Markets (GFM) Department to create proprietary algorithms and data science solutions for trading, sales, and operations.

We are seeking a machine learning specialist who thrives in dynamic environments, possesses a strong foundation in data science and a keen interest in leveraging data to drive innovation in the financial markets and banking sector.

Responsibilities:

1. Utilize extensive financial datasets to drive end-to-end data science solutions for algorithmic pricing, experiment design, process optimization, and customer hyper-personalization.
2. Work with quants, traders, and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the adoption of optimal methodologies.
4. Implement and train AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
5. Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

1. Bachelor's degree or higher in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
2. Proficient in the data science project life cycle, demonstrated by a proven track record of working with structured, semi-structured, and unstructured data.
3. Deep understanding and application of various machine learning concepts, their mathematical underpinnings, and trade-offs.
4. Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
5. Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.

Good to have (Two or more):

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
2. Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, and their applications to pricing and marketing domains.
3. Hands-on experience in designing and executing digital experimentation and hypothesis testing, including A/B testing, bandit-based experiments, and multivariate analysis.
4. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.
5. Experience with machine learning applications in financial markets with a solid understanding of market dynamics, and key drivers.
6. Experience developing reinforcement learning models and frameworks at scale.
7. Strong research background with experience conducting literature reviews and prototyping fit-for-purpose custom models.
8. Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.

Key Skills: python, algorithms & data structures, machine learning, causal inference, SQL, experimentation, A/B Testing, multi-armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis, RAG, large language models.

Internal Description

Description - Internal

The Team:

The DBS Investments and Trading Technologies (ITT) Data Team works with stakeholders across all pillars of the Global Financial Markets (GFM) Department to create proprietary algorithms and data science solutions for trading, sales, and operations.

We are seeking a machine learning specialist who thrives in dynamic environments, possesses a strong foundation in data science and a keen interest in leveraging data to drive innovation in the financial markets and banking sector.

Responsibilities:

1. Utilize extensive financial datasets to drive end-to-end data science solutions for algorithmic pricing, experiment design, process optimization, and customer hyper-personalization.
2. Work with quants, traders, and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the adoption of optimal methodologies.
4. Implement and train AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
5. Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

1. Bachelor's degree or higher in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
2. Proficient in the data science project life cycle, demonstrated by a proven track record of working with structured, semi-structured, and unstructured data.
3. Deep understanding and application of various machine learning concepts, their mathematical underpinnings, and trade-offs.
4. Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
5. Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.

Good to have (Two or more):

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
2. Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, and their applications to pricing and marketing domains.
3. Hands-on experience in designing and executing digital experimentation and hypothesis testing, including A/B testing, bandit-based experiments, and multivariate analysis.
4. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.
5. Experience with machine learning applications in financial markets with a solid understanding of market dynamics, and key drivers.
6. Experience developing reinforcement learning models and frameworks at scale.
7. Strong research background with experience conducting literature reviews and prototyping fit-for-purpose custom models.
8. Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.

Key Skills: python, algorithms & data structures, machine learning, causal inference, SQL, experimentation, A/B Testing, multi-armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis, RAG, large language models.

The Team:

The Credit Trading Analytics team is part of the Investment Trading and Technology (ITT) division at DBS and is responsible for designing and building auto-quoting tools and solutions while also helping traders uncover patterns and assimilate market information.

Your Role:

We are seeking a professional who is able to provide key subject matter expertise in the design and build of automated and machine learning based OTC trading tools, including but not limited to auto-execution workflows. The ideal candidate will have some experience building and designing these tools for other banks, technology, trading or investment firms. You will also need to communicate effectively with all the stakeholders involved.

Skills and Experience Required:

Basic Qualifications:

• Bachelor’s degree in Computer Science, Finance, Business Administration, Mathematics, Statistics or the equivalent
• Experience as a Scrum Master will be preferred
• Good experience with SQL-based RDBMS
• Some experience with Hadoop, NoSQL, any open stack ETL & query tools
• Good understanding of Data Analysis in relation to Business Process Modelling
• Understanding of Auto-execution trading workflows utilising machine learning models in an OTC trading setting
• Experience with leading BI tools a plus (Tableau)
• Experience with other programming or scripting languages (e.g. Unix, SQL Script, JAVA, Python)
• In depth understanding of trading systems (Bloomberg, Reuters and FIX protocol)

Preferred Qualifications:

• Financial markets experience a plus
• Ability to prioritize and manage multiple concurrent tasks in a fast-paced environment
• Excellent time management, scheduling, and organizational skills
• Ability to work effectively under tight timelines and schedules
• Ability to work both independently and as a contributing team member
• Ability to sense the importance or impact of issues and situations and take appropriate actions
• Must be flexible, innovative, and self-motivated
• Must have the flexibility to work extra hours to meet corporate and departmental goals

At KPMG, your long-term future is every bit as important to us as it is to you. That’s why our aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, working across functional sectors, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career. We’re proud of our culture – it’s one that recognises hard work, encourages new ways of thinking and embraces diversity and inclusion. We have an innovative spirit which inspires what we do and how we do it – striving to be better lies at the heart of who we are.

KPMG Cybersecurity professionals assist clients to address their concerns around Confidentiality, Integrity, Availability and Privacy of their technology, business systems, and information assets. Using a holistic view of how Technology and Business integrate, the Cyber team performs technology-risk focused assessments, technology compliance, IT/operational process reviews, and design of information risk & cyber security solutions.

Cyber team members regularly interact with C-Suite clients, such as Chief Executive Officer (CEO), Chief Information Security Officer (CISO), Chief Information Officer (CIO), Chief Operating Officer (COO), Chief Risk Officer (CRO) and their direct reports. Hence, a client centric mind-set, understanding of IT within a Business context, and well-developed communication skills are desirable.

The role involves:

• Collaborate with stakeholders to gather requirements and define Risk Management Processes.
• Document customer business processes and both functional and non-functional requirements.
• Assist in designing and implementing risk management technology solutions.
• Customize risk management software to align with project needs.
• Conduct rigorous testing and quality assurance to ensure solution accuracy and reliability.
• Provide comprehensive training and support to end-users on new technologies and processes.
• Resolve technical issues promptly and effectively.
• Adapt to Agile delivery methodologies, engaging with stakeholders at various levels.
• Contribute to or lead the detailed design of Risk and Compliance Technology solutions, ensuring alignment with business requirements and constraints.
• Possess a thorough understanding of business processes, including web forms-based data capture, workflow, data integration (CSV and XML), and databases.
• Drive end-to-end delivery either as an individual contributor or by leading a team.
• Collaborate with client business units, including Compliance, Risk Management, IT, Internal Audit, Analytics, and Finance, to grasp corporate risk processes and aid in procedure development.
• Identify, define, and document intricate business specifications for risk platforms and procedures.
• Participate actively in project planning, status meetings, and reporting activities.
• Stay abreast of industry trends and best practices in risk management technology.

The ideal candidate should possess:

• Bachelor’s degree in information technology, Management Information Systems, Computer Science, or a related field. Alternatively, a technology-focused MBA or equivalent experience.
• Minimum 3-10 years of hands-on experience in client-facing project roles.
• Demonstrated involvement in at least 2-3 end-to-end projects with active engagement in client-facing roles.
• Strong understanding of information, application, and network security. Proficiency in IT platform components such as Windows Server, IIS, MS SQL Server (including clustered and HA environments), system administration, and monitoring is essential for installation tasks.
• Knowledge of databases, SQL, and experience with cloud environments.
• Familiarity with data visualization tools or languages (e.g., Tableau, PowerBI, Python, R) is advantageous.
• Excellent verbal and written communication skills in English, including the ability to develop technical documentation and operational guides.
• Demonstrated sound business and technical judgment with excellent analytical abilities
• Exceptional oral and written communication skills in English, enabling effective communication and presentation to diverse audiences, including end-users, technical staff, third-party vendors, and senior management.
• Ability to thrive in a team environment, fostering effective collaboration with others.
• Results-oriented with a proactive "Can-do" attitude, showcasing adaptability, flexibility, and resourcefulness.

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

Our Company is working closely with a Prestigious Public Listed organisation in Singapore. Due to our dynamic expansion in projects, we’re looking for Software Engineers, to be part of the project team, able to maintain, upgrade and manage our in-house development of system solutions projects.

Responsibilities:

• Responsible for assigned software modules in the requirement gathering, design, development, test, training and documentation.
• Acquire specific user domain knowledge that will benefit in understanding user operations.
• Ensure that software designed and developed are according to project requirement.
• Work cohesively with project team members, business analysts and stakeholders.
• Able to contribute any improvement towards software development best practices in areas of automated tools, languages, APIs, etc..

Requirements:

• BSc/Ba in Information Technology, Computer Science or a related discipline; professional certification (e.g. Microsoft Certified Systems Administrator (MCSA)) is a plus
• Certificate/Diploma holder with minimum 3-years of relevant experiences
• Experience in programing languages, such as C++, C#, Java, Angular, NodeJS and JavaScript RDBMS / MongoDB / PostgreSQL knowledge will be preferred.
• Understanding of software requirements, software development process, software debugging, software testing
• Good writing and communication skills
• Candidates with relevant working experience will have added advantages
• Have positive attitude and able to work as a team.

Interested applicants, please email your updated resume (in MS Word or PDF) to [email protected] indicating availability date, current and expected salary. We regret that only short-listed candidates will be notified.

Seeking an experienced AI Engineer to join our dynamic team. In this role, you will be pivotal in fine-tuning open-source language models to develop sophisticated internal tools. These tools will aid in generating marketing content, optimizing business development strategies, managing CRM tooling, and compiling information efficiently. If you are passionate about leveraging AI to create impactful tools and improve operational efficiencies, and if you have a strong background in AI, machine learning, and natural language processing, we would love to hear from you.

Responsibilities:

• AI Model Fine-Tuning: Fine-tune open-source language models for applications including marketing content generation, business development optimization, CRM management, and information compilation.
• Cross-functional Collaboration: Work closely with teams across the company to identify AI-driven solutions that enhance business processes and contribute to strategic goals.
• Innovation and Research: Stay abreast of the latest developments in AI, machine learning, and NLP to drive innovation within our tooling and product offerings.
• Data Analysis and Model Training: Collaborate with the data science team to preprocess data, train models, and implement algorithms, ensuring the highest standards of accuracy and efficiency.
• Compliance and Documentation: Ensure all AI solutions comply with relevant data protection policies and document development processes and outcomes for internal and external stakeholders.

Requirements:

• Required Experience: At least 3 years of experience in AI engineering, specifically with experience in fine-tuning language models and developing NLP applications.
• Technical Proficiency: Expertise in Rust, Python, TensorFlow or PyTorch, NLP, and text generation models (e.g., GPT, BERT). Familiarity with cloud services (AWS, Google Cloud, Azure) is a plus.
• Innovative Thinking: A strong capability for innovative thinking and the ability to apply AI in solving complex business challenges.
• Collaborative Skills: Exceptional collaboration skills, with an ability to work effectively across different teams and disciplines.
• Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.

Responsibilities:

• Design and implement an intrusion detection system (IDS) specifically for monitoring and securing the IT-OT interfaces within power grid environments.
• Capture, decode, and analyze network traffic in the IT-OT domain of the ICS to detect and respond to potential security threats.
• Develop and refine algorithms and methods for detecting anomalous behavior or unauthorized access within the network.
• Collaborate with cybersecurity and network teams to integrate the IDS into the existing security infrastructure and workflows.
• Conduct continuous monitoring and periodic testing of the IDS to ensure its effectiveness and to update its capabilities in response to emerging threats.
• Prepare and maintain documentation related to the IDS, including system design, configuration, and operational procedures.
• Stay updated with the latest cybersecurity trends and advancements in intrusion detection technologies to recommend improvements to the IDS.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or related fields.
• Proficient in Python programming with demonstrated experience in developing and maintaining software solutions.
• Solid understanding of computer networks, including network architectures, protocols, and security measures.
• Experience with network analysis tools, with a preference for candidates familiar with Wireshark.
• Knowledge of Industrial Control System (ICS) protocols such as IEC 61850, MODBUS, and Ethernet/IP (ENIP) is highly beneficial.

Skills and Abilities:

• Strong analytical and problem-solving skills with a keen attention to detail.
• Ability to work independently and in a team environment, managing multiple priorities with minimal supervision.
• A proactive approach to identifying risks and implementing preventative measures.

Key Activities / Accountabilities

· Support implementation of new features and developments

· To work closely with Internal team in developing new features and applications to meet customers’ requirements

· Perform internal and on-site testing for newly developed software and hardware

· Proactively work towards to achieve department and company goals

· Provide assistance/support to Sales, Engineering and Manufacturing team

· Prepare ad-hoc reports on projects as needed.

Preferred Qualifications, Experience and Skills

Qualification:

Diploma/degree in engineering course

Experience:

§ Familiarity with project management and workflows

Technical Skills:

§ Windows OS. Knowledge in Microsoft Word, Excel and powerpoint

§ Knowledge in camera, lighting, inspection machine

Competencies:

§ Communication capability with all levels

§ Possess a creative mindset to identify and problem solving skills

§ Planning and organising

§ Drive for results

§ Analytical skills

Language Capability:

§ Proficiency in spoken and written English required

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities

The Cloud DevOps Engineer will design, develop, test and deploy technologies and tools for VPC platform in DBS. In this role, you will be working with a team of SME from virtualization, network, storage, automation and public cloud to providing deep technical support for hypervisor, Docker and Kubernetes administration supporting application on-boarding and involved in building expertise and leveraging state-of-the-art DevOps tools and providing virtual machines and container services to DBS inhouse cloud application developers. The role also entails monitoring and ensuring performance, reliability, and security to meet our target SLA; troubleshooting production issues and coordinating with the development team to streamline code deployment.

• Design, develop and deploy the container platform and maintain and improve x86, hypervisor, storage, Kubernetes & Docker-based infrastructure
• Perform day-to-day administration tasks including maintenance, patches, upgrades and security configurations
• Find solutions to problems that disrupt the availability, performance, and stability of our systems, identifies issues proactively using required tools for all components, and assist in ensuring compliance with security policies and procedures.
• Work in conjunction with the development and operations team to understand requirements for functionality, performance, and security of applications
• Explore and maintain an understanding of the internal architecture and client requirements to our applications
• Manage the processes of deployments using blue-green deployment pattern whenever possible
• Implement the tools and processes for monitoring servers and services to support DBS application transformation requirement
• Suggest ways to improve and reduce operational costs with adaptive performance tuning
• Investigate and develop skills in new technologies, collaborate across all in-country VPC setup

Requirements

• The candidate should have a minimum of 10 years working experience with a broad IT support background, covering virtualization, hypervisor, Docker, Kubernetes, Infrastructure experience on server and networking and some development experience. We are particularly interested in experience of the following:
• At least 5 years of experience with hypervisor, Kubernetes, Docker, and/or cloud deployment technologies e.g. Vmware vCenter, vSphere, Tanzu and OpenStack.
• Operations or systems administration experience, particularly on virtualization hypervisor, Linux and Window
• Broad knowledge of systems, servers, load balancers, SAN storages, security, networking and some background in programming.
• Experience with container networking on virtualization
• Strong experience in managing high-load and auto-scaling production environment
• Programming experience in any scripting language (like Python)
• Experience with monitoring tools like Prometheus, Grafana, Datadog is add on
• Ideal applicants should be used to dealing with escalated issues focused on vendor solution required for virtual private cloud setup.

Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

• To analyse user requirements and design, develop, implement and maintain computer applications to support and assist users to meet their business objectives more effectively and efficiently.
• Develop, support and enhance the Data Download Centre (including Engineering Portal) and iSCM websites.
• Develop, support and enhance Excel productivity enhancement tools (VBA macros).
• Support end-users in usage of Plasma and ACCPAC and help to resolve any operational issues, including working together with vendor (YHQ or Databit) if necessary.
• Develop and enhance data extraction and transformation mechanisms on source systems (e.g. Plasma, YEOS, NYQT, Oracle BI, SAP RFC, PTS etc.) and store the results into Plasma Info Server Monitor the space consumption of Plasma Info so that Server database so that potential problems (e.g. disproportionate consumption of disk space by a particular table, depletion of data tablespace, excessive consumption of temp tablespace) are detected and resolved early to avoid unscheduled database downtime.
• Perform ad-hoc retrieval of order/production/sales data to support incident investigation, reporting or other requests.
• Support Migration Activities of Existing Plasma Info Server to SAP.
• Support & ensure successful implementation of Company-wide Automation (ERP) Projects.

Requirements:

• Degree in Info Systems/Comp Science or its equivalent
• Prefer 2-3 years relevant experience in Manufacturing Industry.

Knowledge:

SQL; Oracle PL/SQL; MS SQL Server Transact-SQL

Object-oriented analysis and design

ASP.NET 4.5.1; C/C++/C#; XML

JavaScript; JQuery; CSS; HTML

Excel VBA; VBScript; PowerShell

PHP, VS.Net, MSOffice

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No: 06C3745

Attention: Audris Teo / EA Personnel No: R1102063

Software Engineer, Network Technology - Singaporeans only

Location: International Business Park

Job Description

We are seeking highly talented Software Engineer, Network Technology with experiences in developing

application or middleware on embedded system (automotive ECU system is preferable) for connectivity and

network functions.

Job Responsibilities

• Design and develop protocol stacks for Vehicle Network/Communication functions or systems

(including but not limited to Ethernet, CAN, LIN, FlexRay, Optical related.)

• Develop subsystem prototyping such as DoIP and SOME/IP stack based ecosystem.

• Lead or participate in product software architecture definition and design which meet automotive OEM

requirement.

• Ensure and carry out forward design process and document quality according to V model to fulfil

stringent automotive industrial ISO standard.

• Implement software programming to realize defined architecture & design.

• Behave independently as technology domain representative for internal and external customers.

Preferred Skills and Experience Requirement

• Strong capability in independent thinking, self-motivation and innovative thinking.

• Deep understanding of network layer components such as IPv4, IPv6, routing, forwarding, TCP/IP.

• Deep knowledge in applying C, C++, JAVA or other scripting for different embedded system

development.

• 8 years' experience in the embedded system development, ARM processor, preferably in automotive

industry.

• Knowledge of software development using embedded C, C++, C#

• Knowledge of OS, data structures and algorithms.

• Knowledge of streaming media protocol and AVB.

• Knowledge of Real-time operating systems (RTOS), Linux, Android Auto or QNX will be added

advantage.

• Experience in developing time-critical functions in embedded systems.

• Proficiency with network monitoring protocols and tools.

• Knowledge of security engineering (building secure systems), Operating Systems and network security,

common attack patterns and exploitation techniques.

• Knowledge of system security analysis techniques such as threat modelling, attack trees etc.

• Excellent written and verbal communication skills.

• Experience with Automotive industrial protocols will be added advantage.

Qualification

• Bachelor's degree or above in Information Security, Electronic, Computer Engineering, Computer

Science or related field

Working Hours:

Monday to Friday

9am to 6pm

Salary :

$4500 to $8500 per month

Description

This position is responsible for the growth of the company. He/she will be working with the sales team to develop mutually beneficial proposals, negotiate contract terms and communicate effectively with stakeholders and clients. He/she will help to prepare sales projections and forecasting revenue, in line with projected income.

Responsibilities

• Contacting potential clients to establish rapport and arrange meetings.
• Researching organizations and individuals to find new opportunities.
• Increasing the value of current customers while attracting new ones.
• Finding and developing new markets and improving sales.
• Attending conferences, business networking, and industry events.
• Developing quotes and proposals for clients.
• Developing goals for the development team and business growth and ensuring they are met.

Technical Skills and Competencies

• Maintain good relationships and rapport with customers
• Actively source, identify and contact new prospects
• Possess Analytical and Problem Solving Skills
• Implementation of company SOP and strategies

Description

A creative, driven and self-motivated individual with a background in graphic design, photography and videography. He/she plays a key role in managing the social media channels, creating compelling content (posts, images, videos, stories) and analysing the performance metrics to improve the social media presence.

Responsibilities

• Create innovative content for social media platforms.
• Photography and graphic design.
• Video production and collaboragte with influencers to create contents if required.
• Create strong and interesting written posts to grab the attention of the audience.
• Stay up to date with all developments in social media.

Technical Skills and Competencies

• Possess good Chinese/English written skills which include grammar and spelling.
• Able to think out of the box and work with the team to create visually compelling visuals.
• Able to manage multiple different social media channels across multiple clients.
• Familiar with social media platforms like Facebook, Instagram, Tiktok and Xiaohongshu.

Description

This role is responsible for developing, implementing and managing detailed marketing strategies to enhance the company's visibility, increase conversions and drive engagement.

Responsibilities

• Plan and execute marketing campaigns across various channels.
• Oversee social media accounts and develop ideas to increase engagement and generate leads.
• Able to manage the rest of the teammates, ensuring a smooth work-flow.
• Manage the digital marketing budgets effectively and strategically.

Technical Skills and Competencies

• Proficiency in managing campaigns on various digital advertising platforms like Google Ads, Facebook Ads and etc...
• Undertsanding the principle of SEO/SEM as well as experienced in managing it.
• Ability to develop and execute social media marketing strategies across various platforms.
• Ability to manage multiple projects as well as strong analytical skills.

Principal Software Engineer, Network Technology - Singaporeans only

Location: International Business Park

Job Description

We are seeking highly talented Software Engineer, Network Technology with experiences in developing

application or middleware on embedded system (automotive ECU system is preferable) for connectivity and

network functions.

Job Responsibilities

• Design and develop protocol stacks for Vehicle Network/Communication functions or systems

(including but not limited to Ethernet, CAN, LIN, FlexRay, Optical related.)

• Develop subsystem prototyping such as DoIP and SOME/IP stack based ecosystem.

• Lead or participate in product software architecture definition and design which meet automotive OEM

requirement.

• Ensure and carry out forward design process and document quality according to V model to fulfil

stringent automotive industrial ISO standard.

• Implement software programming to realize defined architecture & design.

• Behave independently as technology domain representative for internal and external customers.

Preferred Skills and Experience Requirement

• Strong capability in independent thinking, self-motivation and innovative thinking.

• Deep understanding of network layer components such as IPv4, IPv6, routing, forwarding, TCP/IP.

• Deep knowledge in applying C, C++, JAVA or other scripting for different embedded system

development.

• 8 years' experience in the embedded system development, ARM processor, preferably in automotive

industry.

• Knowledge of software development using embedded C, C++, C#

• Knowledge of OS, data structures and algorithms.

• Knowledge of streaming media protocol and AVB.

• Knowledge of Real-time operating systems (RTOS), Linux, Android Auto or QNX will be added

advantage.

• Experience in developing time-critical functions in embedded systems.

• Proficiency with network monitoring protocols and tools.

• Knowledge of security engineering (building secure systems), Operating Systems and network security,

common attack patterns and exploitation techniques.

• Knowledge of system security analysis techniques such as threat modelling, attack trees etc.

• Excellent written and verbal communication skills.

• Experience with Automotive industrial protocols will be added advantage.

Qualification

• Bachelor's degree or above in Information Security, Electronic, Computer Engineering, Computer

Science or related field

Working Hours:

Monday to Friday

9am to 6pm

Salary :

$4500 to $8500 per month

Seeking an experienced AI Engineer to join our dynamic team. In this role, you will be pivotal in fine-tuning open-source language models to develop sophisticated internal tools. These tools will aid in generating marketing content, optimizing business development strategies, managing CRM tooling, and compiling information efficiently. If you are passionate about leveraging AI to create impactful tools and improve operational efficiencies, and if you have a strong background in AI, machine learning, and natural language processing, we would love to hear from you.

Responsibilities:

• AI Model Fine-Tuning: Fine-tune open-source language models for applications including marketing content generation, business development optimization, CRM management, and information compilation.
• Cross-functional Collaboration: Work closely with teams across the company to identify AI-driven solutions that enhance business processes and contribute to strategic goals.
• Innovation and Research: Stay abreast of the latest developments in AI, machine learning, and NLP to drive innovation within our tooling and product offerings.
• Data Analysis and Model Training: Collaborate with the data science team to preprocess data, train models, and implement algorithms, ensuring the highest standards of accuracy and efficiency.
• Compliance and Documentation: Ensure all AI solutions comply with relevant data protection policies and document development processes and outcomes for internal and external stakeholders.

Requirements:

• Required Experience: At least 3 years of experience in AI engineering, specifically with experience in fine-tuning language models and developing NLP applications.
• Technical Proficiency: Expertise in Rust, Python, TensorFlow or PyTorch, NLP, and text generation models (e.g., GPT, BERT). Familiarity with cloud services (AWS, Google Cloud, Azure) is a plus.
• Innovative Thinking: A strong capability for innovative thinking and the ability to apply AI in solving complex business challenges.
• Collaborative Skills: Exceptional collaboration skills, with an ability to work effectively across different teams and disciplines.
• Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.

ABOUT THE ROLE

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We're looking for a motivated and organized individual to join our Asia marketing team in a dynamic support role. This is a fantastic entry-level opportunity for someone passionate about marketing and eager to learn and add value. You'll get hands-on experience assisting with the development and execution of regional marketing campaigns, scaled digital programs and events with a focus on the company product solutions. This is an excellent opportunity for someone passionate about technology and marketing to gain hands-on experience and learn the fundamentals of B2B marketing strategies within a fast-paced environment.

RESPONSIBILITIES

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Campaign Support:

• Support the planning, development, execution, reporting and optimisation of the scaled digital campaigns and programs aligned to horizontal and vertical solutions including Platform events, scaled digital events and webinar programs.
• Create briefing documents, maintain project management documentation to ensure high quality outputs and milestone management. Help track and report on campaign performance metrics
• Assist with localizing assets and marketing materials for regional use as needed.
• Work closely with the regional campaigns & programs team to help drive developer engagement, opportunity and business growth.
• Assist with project management tasks to ensure deadlines are met
• Event speaker management tasks including effective speaker briefing, calendar scheduling and management, consolidation of resources and inputs from various internal stakeholders.
• Assist with agency SOW management and general event coordination as required.

Marketing Operations:

• Gain familiarity with marketing automation tools, lead generation and event platforms and campaign reporting dashboards
• Assist in summarizing insights from campaigns and program results
• Work closely with the regional C&P team to drive opportunity and business growth
• Support communication between global and country marketing teams to ensure alignment
• Build and maintain relationships with internal stakeholders and external agency vendors

PREFERRED QUALIFICATIONS

• Diploma or degree in marketing, business administration, or a related field.
• 2-3 years of experience in a marketing/communications support role
• Strong interest in cloud technology and solutions.
• Excellent organizational and time management skills.
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint)

Desired Attributes:

• Self-motivated with a strong desire to learn and grow.
• Detail-oriented and able to manage multiple tasks efficiently.
• Excellent written and verbal communication skills.
• Familiarity with Cloud products is a plus.
• Ability to learn quickly and adapt to new tasks.
• Positive attitude and eagerness to contribute to a team environment.

About Durapower:

Durapower, a global leader in Energy Storage Systems driving the green transformation, is seeking a dynamic and experienced Corporate Communications Manager to play a pivotal role in elevating brand awareness, thought leadership, and lead & demand generation. This individual contributor will collaborate closely with internal stakeholders and external partners on emerging trends on battery technology and sustainability topics.

Dept: Marketing Communications

Marketing Communications Manager (Individual Contributor with Resources)

Role & Responsibilities:

• Brand Growth & Expansion: Work with strategic partners to execute corporate branding activities to propel brand growth and expansion.
• Digital Presence: Grow, manage, and curate content on corporate websites and social media platforms.
• Trend Awareness: Stay current on key business and industry trends, including competitors' activities.
• Content Development: Develop content for corporate and product communications, aligning with go-to-market strategies.
• Cross-functional Collaboration: Collaborate with internal teams and external partners on communication and marketing campaigns, including media publications and external events.
• Stakeholder Engagement: Prepare communication materials for internal and external stakeholders, fostering sustainable relationships.
• Employee Engagement: Partner with HR for employee engagement initiatives, including communication, newsletters, and events.
• Media Tracking: Track media coverage and target audience engagement to measure ROI. Government & Investor Relations: Provide support for communications related to government and investor relations. Product Branding/Marketing: Place special emphasis on integrating product branding seamlessly into the overarching company branding strategy.
• Battery Cells Manufacturing and Product Roadmap Tie-in: Highlight the critical link between battery cells manufacturing and the company's product roadmap within branding and marketing initiatives.

Experience and Skills Experience:

• 8 to 12 years in internal and external communications, including business media relations and managing PR campaigns. Education: Bachelor’s degree, preferably in marketing or Mass Communication.
• Content Development: Ability to develop compelling content across various communication channels for different target audiences.
• Creativity: Creative mindset with proficiency in digital marketing and hands-on experience in campaign/event planning and execution.
• Interpersonal Skills: Strong interpersonal skills, including experience working with senior leadership teams and key stakeholders.
• Leadership & Collaboration: Demonstrated leadership ability, autonomy, and collaboration skills.

Insights on Must-haves:

• Reporting Structure: This role reports to the Executive Director and CEO.
• Alignment of goals: Demonstrated ability to align departmental goals with the company's vision.
• Strategic Planning & Execution: Proficiency in devising and executing strategic initiatives, particularly in branding across corporate, product, and employer domains in relation to Battery Cells & Battery Modular Systems and application Product Roadmap.
• External PR Agencies: Capability to work with external PR agencies for press releases, with a focus on aligning strategic initiatives with the company's vision. Collaboration & Adaptability: Strong communication skills to collaborate with external PR agencies and internal departments, demonstrating adaptability to connect various facets of the company's products and services.

Responsibilities:

• Analyze technical inquiries and evaluate client specifications
• Establish technical, application, and process design support.
• Prepare a quotation, including technical specifications and cost estimates for equipment or solutions, tailored to customer needs and budget.
• Develop a technical presentation for the customer.
• Communicate with the manufacturer or a representative to obtain an estimate.
• Collaborate with the draftsman to create the layout and process flow diagram or flowsheet.

Requirements:

• Diploma in Mechanical, electrical, chemical or equivalent
• Prior sales experience in architectural building products is an added advantage
• At least 1 year related sales experience
• Good communication skills

Interested candidates who wish to apply for the advertised position, please click 'APPLY' to send in your resume.

EA License No: 13C6305

Reg. No.: R1874608

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

The Humanities, Arts, and Social Sciences (HASS) Cluster at Singapore University of Technology and Design (SUTD) seeks applicants for a full-time lecturer or senior lecturer teaching-track position in the social sciences. Appointments will be made on an initial two- or three-year contract with the possibility of renewal, including opportunities for career development and promotion within the teaching-track.

We seek applicants from any of the social sciences (economics, sociology, anthropology, psychology, etc.) who have a strong background and interest in teaching classical and contemporary social science theory and methods. Successful applicants will teach in our team-taught introductory core course Social Science: Understanding Culture, Society and Behaviour. In addition, successful applicants will also teach 1 or 2 electives of their own design that contribute to our cluster’s teaching mission as a HASS cluster within an engineering and design university.

Candidates who can contribute through teaching and research to our Minor Degree program in Design, Technology, and Society—a design-focused variant of Science, Technology, and Society studies (STS)—are especially encouraged to apply. Potential to teach in our new Master’s degree in Human-Centred Design is also valued.

Applicants should have a Ph.D. in a social science discipline (broadly construed), with a proven track record of effective teaching and research in the applicant’s field of specialty.

The teaching load for teaching-track faculty is 6.5 course credits per calendar year.

Application Details

SUTD is a new research university established in collaboration with MIT and offers degrees in engineering, computer science, and architecture with a strong emphasis on nurturing socially cognizant innovators, technologists, designers, and entrepreneurs. The HASS department plays a pivotal role in the university’s commitment to world-class teaching and research excellence. The current HASS faculty bring core expertise in anthropology, history, literature, psychology, sociology, urban studies, and the digital humanities.

Candidates should submit the following materials through the SUTD Careers page.

1. A cover letter

2. A curriculum vitae

3. A statement of teaching experience and philosophy

4. A statement of current and future research plans

5. A 500-word description and selected bibliography of up to ten readings for two courses you may wish to offer OR two course syllabi

6. A writing sample, such as a submitted journal article

7. Names, affiliations, and email addresses of two references. Please note that candidates who advance to the interview stage will be asked to submit two letters of recommendation at that point. Please have your recommenders ready to send their letters via Interfolio or another means.

Job Description:

1. To lead and coach a team of Junior BA and BA in performing their tasks.

2. Responsible for tasks that being assigned to her/his team members.

3. Conducting business requirement studies & map business process to system process.

4. Preparing Master Functional Specification when required.

5. Develop Test plan for System Integration Testing and User Acceptance Test.

6. Follow up on Issue Log.

7. Conduct User Acceptance Test Online/Onsite to Local and Oversea Users.

8. Perform Online/Onsite Daily User Support to Local and Oversea End User.

9. Perform any other duty as directed by superior.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Job Description:

Manages projects involving feasibility studies, systems analysis, design, development and implementation of new, moderately complex systems, and/or, acts as a team leader of a development team with responsibility for major components of the more complex systems.

Develops project plans, detailed system and other functional specifications and user documentation for major systems.

Provides specialized advice to users, analyzing users’ requirements and translating these into new applications; determines application systems integration and linkage issues.

Maintains, upgrades or enhances existing user systems; troubleshoots and provides continuing user support, to include resolving difficult problems, advising on the use of new techniques, monitoring transactions to measure performance and continued effectiveness of assigned systems, etc.

Develops and maintains computer programs that require integration of many interrelated systems and program elements; ensures appropriate data security and access controls considering both local and wide area issues.

Researches, analyzes and evaluates new technologies and makes recommendations for their deployment.

Monthly writing of reports on systems-related topics, system requirements, information strategy, etc.

Facilitates communications between GSD and its clients for good client relations.

Provides guidance to, and may supervise, new/junior staff, consultants, etc.

Responsible for defining strategic direction for ICT to the Secretariat. It provides oversight of ICT programmes, budgets and decision-making to ensure alignment with the Secretariat’s overall ICT strategy.

We are looking for a Quantitative Analyst who will be responsible for developing and implementing AI-driven models and algorithms to enhance our investment strategies. The ideal candidate will have a strong background in quantitative analysis, machine learning, and programming, with a focus on Python.

Key Responsibilities:

• Research, develop, and implement quantitative models and algorithms leveraging AI techniques such as machine learning, deep learning, and natural language processing.
• Analyze large datasets to identify patterns, trends, and insights that can be used to enhance investment strategies.
• Collaborate with portfolio managers and other stakeholders to understand their investment objectives and develop tailored solutions.
• Conduct backtesting and performance analysis to evaluate the effectiveness of quantitative models and strategies.
• Stay abreast of the latest developments in AI, machine learning, and quantitative finance, and incorporate relevant advancements into our processes and methodologies.
• Work closely with the technology team to implement scalable and efficient solutions for model deployment and productionization.

Qualifications:

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Physics.
• Strong quantitative skills with a deep understanding of probability theory, statistics, and optimization.
• Proficiency in Python programming and experience with relevant libraries and frameworks such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning is highly desirable.
• Experience working with financial data and applying quantitative techniques to investment analysis.
• Excellent communication and collaboration skills, with the ability to explain complex concepts to non-technical stakeholders.