Total 480 Information Technology job vacancies in Berry Street Plant - Springdale, Arkansas

At the full performance level, major duties include:

• Performs a wide variety of analytical duties connected with complex Information Technology (IT) and operations risk management examinations and visitations in complex financial institutions (CFls) and service providers (SPs). This includes CFls, Significant Service Providers (SSPs), and SPs that exhibit unusual or problem characteristics or represent a potential systemic risk to the banking industry.
• Applies a specialized IT knowledge of banking and regulatory environments, particularly in relation to cybersecurity and data protection laws and regulations, to anticipate, identify, evaluate, mitigate, and minimize risks associated with IT systems and architecture vulnerabilities.
• Provides technical assistance in the reviews and assessment of the impact of new and existing legislation, technology developments, and similar matters.
• Provides written analysis of risks associated with examinations and visitations and writes reports on emerging technology and cyber related risks.
• Develops correspondence for review by examination staff or management.
• Serves as an instructor or coach in various IT training courses and special training projects.
• Meets with entity management, boards of directors, FDIC management, and others to: advise of corrective action for information technology deficiencies; disclose and support ratings; inform management of potentially
  controversial actions; persuade others to cooperate in meeting objectives; and confirm management's response to corrective actions in the Report of Examination.

Introduction to ICAI
The International Centre for Aviation Innovation (ICAI) is set up to drive innovation across all aspect of aviation including Air Traffic Management, smart & digital airports, sustainable aviation and unmanned systems. As the first-of-its-kind innovation centre in Asia, the Centre seeks to foster partnerships amongst governments, industry, and research institutes to drive development, deployment, and adoption of aviation technologies.

What the role is

The ICAI Software Program Manager is responsible for managing and leading software teams to translate R&D projects for implementation in the CAAS Air Navigation Services System (ANSS). The role is integral to ICAI’s mission to assist CAAS build local capability to undertake indigenous co-deployment, co-development, and maintenance of CAAS' NexGen Air Navigation Service System.

What you will be working on

• Program management
• Collaborate with stakeholders to understand and address the translation requirements.
• Develop program management plan.
• Develop project SOW.
• Ensure projects are aligned with CAAS ANSS delivery milestones.
• Define project controls and to manage the program.
• Estimate project budget.
• Identify and select software development partners to execute the R&D translation.
• Monitor progress and coordinate interdependencies.
• Identify and manage project risk.
• Manage project stakeholders.
• Design and Development Leadership
• Define and design the architecture and system solution to enable seamless integration of the software system into the OEM system.
• Select appropriate technologies, frameworks, and patterns to create a robust, scalable, maintainable system.
• Evaluate and select tools, libraries, and platforms that best suit the project’s requirements while considering factors such as cost, performance, and compatibility.
• Provide technical leadership and guidance to software development teams.
• Ensure software system quality.
• Create and maintain comprehensive software architecture documentation, including design decisions, architectural patterns, and technical standards, to serve as reference throughout the product roadmap.

What we are looking for

• Bachelor’s degree in computer science, information technology, or related discipline.
• Proven track record in program managing enterprise level software development.
• Possess hands-on experience and good technical skills in:
  o Architecture concepts.
  o Cloud platform.
  o Virtualization and Container technologies.
  o DevOps and agile practices.
  o Gateway and APIs.
• Certification in Project Management is desired.
• Attributes:
  o High level of professionalism, integrity, and confidentiality.
  o Excellent leadership skills to cohesive teams.
  o Strong interpersonal skills with the ability to build and maintain relationships.

Working Conditions
• Full-time position based at the Innovation Centre in Singapore
• May require occasional travels for OEM meetings
• Flexibility to work outside regular business hours when necessary.

About the job

Job Description

This role includes ensuring the maintenance, repair, and compliance of tankers with international regulations, managing budgets, coordinating with equipment maker, shipyards, repair companies and suppliers, and ensuring safe and efficient operation of the fleet. You should be independently assisting ship staff in troubleshooting technical issues, and work closely with regulatory bodies, Classification societies, local administration to ensure adherence to SOLAS, MARPOL & prevailing maritime laws and safety standards.

The role will oversee the technical operations of tanker vessels on tramping trade with Oil majors and oil traders. The role will ensure assigned vessels are maintained according to Company procedures & International regulations (Class, Flag, USCG, AMSA & other MoUs). The role includes regular overseas trips to inspect ships will be required. The successful candidate will have the ability to handle occasional work pressure.

Job requirements

• Proficiency certificate: MEO Class 1 Certificate of competency or Certificate of Competency (motor).
• Educational Qualification: Bachelor’s degree/Diploma or equivalent in Marine/Mechanical Engineering.
• Minimum 4-5 years of experience as Technical Superintendent in a Ship Management/Owner company looking after oil/chemical tankers, product tankers. Additional experience of Gas carriers is added preference.
• A minimum of 3 years’ relevant experience as Chief Engineer on Product Tanker.
• Able to prioritise workload and handle the ship operations independently.
• Prior experience in operating ME-C engine, Framo system, BWTS and EGCS.
• SIRE/ CDI inspections.
• Independently carry out the incident investigations.
• Drydocking (including special surveys) and retrofit.
• Proficient in English language.
• Good communication skills.
• Good knowledge of Microsoft office.
• Power presentation skills.

Duties include, but may not be limited to the following:

• Responsible for the technical work required for HPE programs including affiliation agreements, trainee qualifications and credentials letter (TQCVL), program letters of agreement (PLAs), direct HPT/affiliate staff customer service, and the on- and off­ boarding processes of HPTs.
• Review and validate HPT applications, qualifications, and appointment against OAA criteria before starting clinical rotations and performing patient care.
• Inform management with authoritative analyses, policy guidance and opinions regarding HPT appointment and on- and off-boarding processes as it relates to HPE programs.
• Enhance the efficiency of processes and HPT training experience as it effects the reputation of VA and its ability to maintain and expand the clinical workforce of VA and the nation through recruitment and retention of highly qualified HPTs.
• Responsible for enacting process changes with OAA, affiliate staff, facility leadership, clinical and administrative service lines by implementing SOPs, developing and administering training programs, and advising on HPE regulations.
• Provide complex coordination across clinical and administrative service lines at both facility and Veterans Services Integrated Network (VISN) levels.
• Synthesize and maintain data from diverse data systems and sources to cross check, validate and present relevant information and reports.
• Performs other related duties as assigned.

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.

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.

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

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.

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.