Total 2,251 Information Technology job vacancies in Jefferson Hills PA, 565 Coal Valley Road

Responsibilities & Requirements:

• Provide excellent customer service
• Assist customers in choice of chocolates
• Cashiering, merchandising and housekeeping duties
• Able to use the POS
• Enjoy meeting people
• Post secondary / high school education

Working hours: 11am to 8pm at Raffles City

Working period: 14 Nov - 31 Dec 2024 (Thursdays, Fridays, Saturdays, Sundays every week)

Salary: $12/hr + 10% attendance incentive if you fulfill the committed days

Responsibilities

• Assist to test, evaluate and assess the feasibility of latest Windows patches/IoT devices/networking device firmware upgrade before rollout
• Attend and provision user account, access right and IT resources requests timely within SLA timeframe
• Provide advice, support & guidance to staff & management with respect to technical issues, networking, operations, application and desktop support
• Assist to provision, setup and maintain VMware and Hyper-V virtual machines, as well as administering domain joined Windows server 2016 & 2019 services (AD,DNS,DHCP,ADFS,file sharing, web services and etc)
• Ensure all servers is being properly backup according to the backup policies and perform backup restore periodically
• Assist to administer configurations and policies for Fortigate firewalls, Cisco/Dell managed network switches and Aruba/Ruckus WAPs
• Performs any other duties as assigned.

Requirement

• Candidate must possess at least a Diploma, Advanced/Higher/Graduate Diploma, Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent
• At least 3-4 year of working experience in the related field is required for this position.
• Good Knowledge of Microsoft windows operating systems
• Knowledge and experience in Server Administration are needed.
• Preferably with experiences of Office 365 administration
• Basic experience of Domain environment & Network

Interested applicants, please Email , and look for

Jensen Fang Lifa

jensenfang@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Job Summary

We are seeking a highly skilled and dedicated Application Developer to join our team. The ideal candidate has extensive experience in software development, cloud technologies, and microservices architecture. You will contribute to developing high-quality software solutions, implementing clean code practices, and collaborating effectively in an Agile environment.

Key Responsibilities:

Application Development: Develop, test, and maintain high-quality applications using JVM-based languages (Scala, Java, Kotlin) and web application technologies (HTML, CSS, JavaScript, React.js).

Cloud Expertise: Apply strong knowledge in cloud environments to build scalable, resilient applications.

Microservices & RESTful APIs: Design, build, and maintain RESTful APIs and microservices to ensure seamless integration and high availability of distributed systems.

Source Code Management: Utilize Git for source code management, ensuring effective version control and collaboration.

Agile Methodologies: Participate actively in Agile ceremonies including Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective, and Backlog Refinement, driving forward team goals and ensuring alignment with project objectives.

Test-Driven Development (TDD): Apply TDD principles to design robust Unit, Integration, and Functional tests, ensuring code quality and reliability.

Clean Code Practices: Implement clean coding standards, focusing on readability, maintainability, and overall code quality.

Design Patterns: Utilize design patterns effectively to solve common problems, enhancing the flexibility, reusability, and scalability of applications.

Collaboration & Communication: Work closely with cross-functional teams, participating in code reviews, and offering constructive feedback. Communicate technical solutions and ideas clearly and effectively.

Qualifications:

Experience: Minimum of 4-7 years of software development experience.

Cloud Proficiency: Proven experience with cloud platforms, with the ability to design and deploy applications in cloud environments.

Technical Skills:

• Proficiency in Flowable and JVM-based languages (Scala, Java, Kotlin).
• Strong web development skills with HTML, CSS, JavaScript, and React.js.
• In-depth knowledge of RESTful API design and microservices architecture.
• Familiarity with Git or similar source code management tools.
• Methodology: Familiar with Agile development practices and has a good understanding of Scrum processes.
• Coding Standards: Awareness of Clean Code principles and clean coding practices.
• Testing: Demonstrated experience with Test-Driven Development, including designing and implementing Unit, Integration, and Functional tests.
• Design Patterns: Strong understanding and practical application of design patterns.
• Soft Skills: Excellent written and verbal communication skills, with a proactive, results-oriented attitude.

EV-Electric (EVe) Charging Pte Ltd is a subsidiary of the Land Transport Authority of Singapore (LTA), which coordinates the national effort to undertake the electrical infrastructure upgrades and deployment of electric vehicles charging points (EVCPs) primarily in Singapore’s residential carparks.

You will lead the project execution of the electrical infrastructure upgrade (including substations, consumer switch rooms) for power provision to EV chargers.

Overall, the Technical Manager will be responsible for the Charging Operations in the assigned zone(s). The job will include the following:

• Support the end-to-end design development and deployment of EV chargers in public car parks. This also includes developing the tender specifications and requirements.

• Ensure EV charger deployment is carried out in compliance with the contract specifications and agencies’ code of practices and regulations.

• Lead the site visits and manage the testing and commissioning process for the EVCPs. Coordinate with agencies on approval processes.

• To develop and execute plans related to the deployment of EV charging systems

· To ensure the contractor follows set regulations and is empowered to call out deviations. for key decisions and to recommend findings to the project manager.

Requirements:

• Tertiary qualification in engineering fields.

• Candidates with engineering experience in project management and site supervision as well as strong administrative skills are preferred.

• Excellent interpersonal and communication skills to coordinate with team members and external stakeholders

• Keen eye for detail

• Proficient in Microsoft Office suite software

• At least 2 years of relevant working experience. Applicants with less than 2 years of working experience could be considered with demonstrated organization skills, teamwork, and exemplary leadership.

Working with Bernhard Schulte Shipmanagement means partnering with one of the world's leading third party ship managers. As a multinational, family- owned business, we celebrate a culture of togetherness. Caring for and learning from each other is at the base of our success. Our superpower is our diversity. The wealth of more than 80 nationalities and diverse expert knowledge boosts our capacity to innovate and take industry standards to the next level.

The BSM family includes over 20,000 seafarers and 2,000 shore-based staff in more than 30 locations and across the oceans. Together, we move a fleet of over 600 vessels and help hundreds of ship owners trade cargo all around the world safely and efficiently. We see it as our highest responsibility to operate with greatest respect to the integrity of the environment, the vessels, and our people.

Are you interested in exciting career opportunities, personal growth, and great development options in an international fast-paced working environment? Then join the BSM family!

Job Objective

Monitors and controls the safe and cost-efficient technical operation of all assigned vessels using the available resources, within the defined parameters of cost, commercial viability, and operational excellence in line with Owners' expectations. Ensure environmental compliance policies are upheld.

Support ship management centre’s (SMC) strategic goals

• Assists in promoting and supporting BSM’s strategic goals

Ship technical support

• Understands the contractual agreements with customers to be able to deliver the same with regards to the ship management services for each assigned vessel, in a safe and cost efficient manner.
• Keeps close contact with clients, maintains good working relationships with client representatives who are involved in the operations of the company's vessels
• Provides technical and operational support to assigned vessels

Safety of Operations

• Monitors the effective operation of the equipment and machinery of the assigned vessels, identifying potential discrepancies from operational standards and proposes and/or implements solutions that will enhance the efficiency, performance and safety of the vessels.
• Participates in the development of the maintenance and repairs plan for the assigned vessels and monitors its accurate execution
• Arranges and executes Drydock activities at regular intervals
• Develops, maintains, monitors and reports budgets for all assigned vessels
• Monitors all vessels trading certificates to ensure compliance with existing maritime legislation, safety regulations and operational standard requirements of all regulatory bodies.

Execution of technical inspections / internal audits

• Manages all vessel visits, audits and inspections effectively right from planning to implementation and follow up with the aim of supporting and enhancing the operational efficiency of the assigned vessels.
• Responsible for communication, promotion and implementation of company's health, safety, environment and quality policy on board the vessels related to technical.
• In liaison with Loss Prevention, Safety and Quality (LPSQ) and Fleet Personnel Department (FPD), assists and supports sea staff with alignment of technical requirements.
• Assists with the Company initiatives regarding the human element

Purchasing activities

• Ensures ship requisitions are handled timely and as per quality document management system (QDMS) procedures

Management of resources

• Coach, engage, motivate, mentor employees to develop their strengths and build their capabilities as per their defined roles and personal goal
• Identifies training needs and provides on board training to ship staff during ship visits.

Requirements

Education and Qualifications:

• B.S. degree in Mechanical, Electrical or Marine Engineering, Naval Architecture or equivalent, or
• Chief Engineer’s qualification

Work Experience:

• 3 years of sailing experience as Senior Officer, or
• 3 years of shore experience as a technical superintendent with a ship management/owning company
• Preferably experienced on the same type of vessel as candidate is expected to supervise

Job-Specific Skills:

• Strong knowledge of vessels’ technical requirements and voyage regulations
• Excellent project management skills
• Very good negotiation skills
• Very good people management skills
• Team work and cooperation
• Very good organisational skills
• Fluency in English
• PC literacy

Benefits

Why you should join us!

• On-the-job training
• First-hand exposure to the growing maritime technological industry
• Diverse workforce
• Technology-driven company
• Be a part of the ever-growing Schulte group family!

Please head on to https://bit.ly/3Yzy21n to submit your CV for the position.

This position is responsible for effectively leading the collaboration with business units across TE to achieve productivity and gross margin improvement that are aligned with TE strategy. The successful candidate is responsible for developing and executing the AI strategy to integrate and optimize the inhouse and external resources by influences. The person in this position must charter a strong AI related talent network among business units and AMT on transforming innovation practices into robust application processes with scaling up implementations. This role will leverage the leader’s experience in AI, manufacturing, assembly, and general management to build a strong network and increase the competitiveness in AI related advanced assembly, automation, and manufacturing technologies for TE.

This is an extremely hands-on role that provides the candidate with opportunity to join a high performing organization and highly visible development opportunities for future operation and manufacturing leadership within TE. The position will locate in TE Singapore AI Hub campus and will serve customers from multiple business units and manufacturing sites globally.

Key Responsibilities:

• Identify AI opportunities with multiple BU customers to facilitate their strategy of accelerating the short-term and long-term AI related roadmap on assembly and automation manufacturing.
• Develop and innovate AI related strategies for the transformational collaboration with BU customer to drive TE operational excellence through end-to-end approach from effective innovation, application, and scaling up implementation. Align the strategy with BU customer’s current to 5-year strategic roadmaps and make recommendation on the AMT prioritizations.
• Provide critical thinking and influence by contributing with AI related platforming and implementation of innovative solutions addressing the most challenge assembly and automation processes.
• Oversee and provide directions to AMT global AI projects with support to make sure they are meeting customer requirement on time, on performance, and on budget.
• Partner with the other AMT leaders to develop AI related strategic partnership with suppliers to meet global business needs, and to drive the supplier improvement plans with quality, delivery, and cost requirement.
• Partner with the AMT leaders, BU operation leaders and central operation functions to develop AI talents inside the organization, building AI automation and assembly talents competency for the company for sustainable growth.
• Drive continuous improvement culture change through collaboration and communication regarding AI related best practices knowledge sharing, internal and external benchmarking, talent development, and hands-on leadership.
• Promote a culture that reflects company’s values, encourages outstanding performance, and promotes positive work environment, encouraging inclusion and diversity to develop, coach, and mentor individuals in the team to fully unleash their potentials.
• Evaluate training needs and develop training and development plans to support high-performance teams.

Key Requirements:

• A Master degree in an Engineering or Technical discipline. A PhD engineering degree is strongly preferred. 5+ years operational and/or technical experiences in a technology environment/industry is also preferred.
• A strong talent with clearly demonstrated AI experience and a track record of AI innovating as well as AI deploying/scaling up new technologies via influence in matrix organizations. Understanding key SPAM process in TE is preferred. Experiences in chartering company-wide AI technology events with solid tangible results are strongly preferred.
• Capacity to make balanced decisions in best interest of the business and company with respect to people, investments, and total cost of ownership.
• Record of proven results in driving organization integration and innovating process for benchmarking and sharing best practices.
• Proven records of collaborating with multiple manufacturing/engineering teams and BU customers to develop strategy and execute AI and related projects with multi-years roadmap for productivity and growth margin improvement.
• Experienced in matrix management with a track record of being able to manage by influence and coordinate cross business unit activities.
• Demonstrated track record of taking initiatives, working in a fast-paced environment, and handling multiple priorities simultaneously.
• Passionate, resilient leader with experience leading change.
• Strong business acumen and customer orientation.
• Working knowledge of AI, P&L, cost saving strategies, and budget balances.
• Excellent communication and coaching skills at all levels from the shop floor to top management.
• Willingness to travel frequently, and as necessary, to support a global technology deployment in all regions.
• Strong global industrial experiences with time spent working and living abroad is desired.

Personal characteristics of the individual:

• High-powered individual with a persuasive leadership style and motivating management skills.
• Experienced transformational growth leader with a passion for AI automation and an inventive curiosity.
• High level of initiative and drive with a strong sense of urgency and accountability. Energetic, proactive, and hardworking to lead by example.
• Strong communications skills. Must demonstrates an open, honest, and transparent communication style with excellent interpersonal skills. Ability to explain complex topics concisely to a non-technical audience.
• Excellent judgment and experiences in an environment which requires emotional maturity, politically savvy, and the personal ability to interact with all types of personnel at various levels.
• Keen business judgment demands excellence and sets high standards for self and others. High-level of intellectual curiosity combined with strong problem-solving and analytical skills.
• Willingness and personal style to be a team player and foster a team environment, with the capacity and aptitude to serve as a leader in motivating and inspiring others.
• Impeccable ethics and integrity.

Job Summary

You will be working with a team of professional engineers to challenge status quo, think different, thrive in ambiguity to meet mission objectives of our customers. You will lead a team of software engineers and work closely with other cross functional teams, Service Delivery Managers and Project Managers to deliver quality satellite ground software systems to our customers.

Job Responsibilities

• Drive the design and architecture of satellite ground control and antenna management software systems.
• Lead software team in implementing design, testing, verification, and validation of all software components.
• Implementation of cybersecurity measures for software applications
• Generate and maintain software development documentation.
• Plan and provide necessary software maintenance, training, and consultancy to users on the deployed software.
• Continuously develop new skills & techniques in software technologies to improve and reduce software development time and effort.
• Participate in the definition and development of future products.
• Collaborate with various stakeholders including customers, and engineering teams across organizations.
• Able to challenge the status quo, think different, thrive in ambiguity, care for team members and being ever curious.

Job Requirements

• Knowledge in Computer Engineering or related field.
• At least 8 years’ experience in mission critical system software development.
• Proficient in developing full stack applications, preferably with C#, JS.
• Experience with database, API design, network architecture, message broker, and cloud technologies.
• Experience with core engineering infrastructure tools such as GIT servers, CI/CD pipelines, Container Technologies.
• Familiar with agile software development lifecycles.
• Good understanding of hardware.
• Able to communicate in English and work in a fluid, innovative environment.
• Singaporean only

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Job Summary

We are seeking an experienced Application Developer to join our team to support and enhance a custom-built application. This role requires deep expertise in Java Spring Boot and Spring Batch for backend development, along with proficiency in AWS cloud services, React for frontend development, and MS SQL for database management. The Application Developer will maintain, test, and debug the backend and contribute to the frontend to deliver a smooth, reliable application experience. The ideal candidate is proactive in identifying areas for system enhancement and possesses a strong problem-solving mindset to troubleshoot and resolve issues effectively.

Key Responsibilities

• Develop, maintain, and optimize the backend of the application using Java, Spring Boot and Spring Batch.
• Implement front-end components and features using React, ensuring seamless integration with backend services.
• Manage and configure AWS cloud services to deploy, monitor and scale applications.
• Utilize MS SQL for database management, query optimization, and ensuring data integrity.
• Conduct thorough testing and debugging across the application to ensure high performance, security and reliability of the application.
• Investigate issues, conduct root cause analysis, and implement resolutions for application or system bugs and security findings.
• Collaborate closely with cross-functional teams, including product management and QA, to refine requirements and deliver high-quality features.
• Proactively identify opportunities for optimization, code refactoring, and overall system improvements to enhance application efficiency and maintainability.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 3+ years of experience in Application development, with a strong focus on backend technologies.
• Proficiency with Java Spring Boot and Spring Batch frameworks.
• Hands-on experience with AWS cloud services (e.g., EC2, S3, Lambda, RDS).
• Solid experience in React for front-end development.
• Strong knowledge of MS SQL for database design, querying, and optimization.
• Familiarity with best practices in testing, debugging, and security for web applications.
• Demonstrated ability to conduct thorough root cause analysis and implement effective solutions.
• Proactive approach to identifying and driving improvements in system performance and maintainability.
• Preferred Skills
• Experience with CI/CD pipelines and containerization technologies like Docker and Kubernetes.
• Familiarity with RESTful APIs and microservices architecture.
• Knowledge of security best practices and data protection measures.

Job Summary:

We are seeking a Junior Application Developer - Front End Developer to join our dynamic team and make an impact by building robust, scalable applications for the Azure Cloud. This is a hands-on coding role focused on delivering high-quality solutions within an agile environment.

Key Responsibilities:

• Configure, build, and test application components based on technical architecture requirements.
• Participate in code reviews, fixing defects and resolving performance issues.
• Attend daily stand-ups and provide updates via Azure DevOps (AzDO).
• Estimate tasks accurately during Sprint planning to aid effective project delivery.
• Build microservice/micro frontend components from detailed requirements.
• Write and execute unit tests to ensure code quality and meet code coverage benchmarks.
• Collaborate closely with team members during daily scrum meetings.
• Actively assist in user acceptance testing to ensure smooth release cycles.

Technical Scope:

Technologies: Angular, .NET, Docker, Azure Cloud

Architecture Pattern: Microservices-based architecture, utilizing micro frontend components for efficient, scalable solutions.

Skills & Experience:

• Must-have: 2-3 years of experience in front-end development, especially with Angular.
• Strong knowledge of Agile methodology and practices.
• Demonstrated ability in hands-on development rather than management, with a focus on coding and solution-building.
• Experience in sprint-based project management (Scrum/Agile environment).

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

Senior AI Solutions Architect

REPORTING STRUCTURE

The Senior AI Solutions Architect will report directly to the Chief Executive of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced technical manager to lead our engineering team. This team is responsible for the development of LTS AI products and management and optimisation of the platform supporting these developments. The role entails leading an engineering team towards the ongoing design, development and deployment of custom Large Language Models and the design and development of AI products that leverage these models.

RESPONSIBILITIES

• Develop and direct a high performing AI engineering team towards the deployment of scalable and reliable AI products for the legal sector.
• Design and deploy end-to-end solutions to support the reliable service of the AI products to endusers.
• Set, justify and present technical direction that is adaptable to continually evolving technological landscape.
• Collaborate closely with stakeholders, including senior management, senior legal professionals, academics, as well as other engineering teams within the local AI ecosystem.
• Coach engineering team to ensure their professional growth and technological development.

SKILLS AND QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Over 5 years of experience working as part of an AI/ML engineering team in a production environment, with at least 2 years in a leadership capacity.
• Proficiency in Python and AI/ML frameworks (e.g. PyTorch, Tensor Flow).
• Demonstrated experience in designing and developing scalable backend architectures.
• Familiarity with natural language data processing techniques, tools and libraries.
• Experience with containerization (Docker) and familiarity with orchestration techniques (Kubernetes).
• Experience deploying solutions on cloud platforms, preferably with cloud certification.
• Deep understanding and interest in LLM specific techniques, such as fine-tuning, prompt, engineering, LLM testing, and development of evaluation metrics, quantisation, PEFT.
• Excellent communication skills for conveying technical concepts to non-technical stakeholders.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Key Responsibilities:

Systems Management:

• Oversee and optimize technology systems, software, and hardware.
• Monitor data and voice networks, addressing issues to minimize downtime.
• Regularly assess infrastructure and recommend improvements.

Project Management:

• Lead technology projects from planning to execution, ensuring alignment with company goals.
• Conduct cost/benefit analyses for proposed initiatives.
• Collaborate with teams to gather requirements and ensure successful project delivery.

Technical Support:

• Provide hands-on support for user technology and resolve issues promptly.
• Educate users on best practices and effective use of tools.
• Develop and maintain documentation and standard operating procedures.

Administrative Support:

• Assist with various office administration tasks to foster a productive environment.
• Manage inventory of equipment and supplies.
• Help coordinate office events that require technological involvement.

Other Tasks:

• Support maintenance of office equipment and facilities.
• Perform additional tasks as assigned.

Requirement

• Relevant experience
• Diploma / Degree

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Job Description:

We are looking for a skilled developer to design, build, and configure applications that meet business and application requirements. As a Subject Matter Expert (SME), you will lead team decision-making, collaborate with cross-functional teams, and play a key role in problem-solving within your immediate team and across the organization.

Key Responsibilities:

• Develop dynamic mobile applications using Android Studio, ensuring high functionality and performance.
• Work closely with various teams to gather requirements and align application features with business needs.
• Conduct code reviews and provide technical guidance, driving best practices within the team.
• Identify and implement enhancements to improve application performance and user experience.
• Stay current with industry trends and continuously apply best practices in mobile app development.

Qualifications:

Required: Advanced expertise in Android Studio.

Recommended Skills: Experience with React.js, Architectural Design, Automated Testing, Java, and ASP.NET MVC.

Proven track record in delivering user-friendly mobile applications.

Strong collaborative skills and ability to engage with multiple teams for solution-driven outcomes.