Total 10 information technology job vacancies in D06 Beach Road, High Street

at wagamama, we’re an eating house for the soul. with over 160 uk restaurants and growing, our purpose is to nourish the world from bowl to soul. inspired by fast-paced, japanese ramen bars since 1992. a celebration of asian food brought wagamama to life

we’re looking for a technology director to join us on our continuous journey of true nourishment

purpose |

the technology director provides clear and compelling leadership for the teams and suppliers involved in the running of wagamama’s technology products and services, all associated security and compliance, alongside taking an active leadership role in the delivery of all technology change

the role holder will play a pivotal role in driving the technological innovation and strategy for our product-centric organisation. you will oversee the entire technology stack, ensuring that it aligns with our product roadmap and business objectives. your leadership will be instrumental in delivering high-quality, scalable, and secure technology solutions that enhance our product offerings and customer experience

key accountabilities |

• technology strategy: develop and execute a comprehensive technology strategy that supports the company's product vision and business goals including a sourcing model that outlines the role that our partners/suppliers will play.
• product development: collaborate closely with product teams (restaurant technology, back-office technology, infrastructure + head office technology to understand their requirements and translate them into actionable technology solutions.
• technology supplier management: maintain objective scorecard measurements across all key supplier relationships and ensure that regular governance and oversight is in place through the product management teams.
• technology leadership: lead and inspire a team of talented technology professionals, fostering a culture of innovation and excellence.
• infrastructure management: oversee the design, implementation, and maintenance of our it infrastructure, ensuring optimal performance and security. ensure that our head office location is managed and well maintained and that all business functions have the use of effective an fit-for-purpose technology.
• technology stack: evaluate and select appropriate technologies and tools to support product development and operations.
• cloud adoption: drive the adoption of cloud-based + saas technologies to improve scalability, efficiency, and cost-effectiveness.
• innovation: foster a culture of innovation by exploring new technologies and trends that can enhance our products and services.
• technology budget + commercial management: oversee the ongoing management of the technology capex and operating budget. ensure that the department are well positioned across all supplier commercial arrangements and lead on any commercial negotiations.
• us technology: provide leadership + direction for the us tech lead and oversight of alignment of us restaurant estate ensuring economies of scale + service benefits.

key stakeholders |

• regional director + area managers
• finance director + finance business partner
• people team business partner
• supplier account leads
• head of technology strategy + architecture
• head of technology change
• director of risk + compliance
• concessions operations director
• b+p tech lead

key skills + experience |

• degree in computer science, engineering, or a related field
• 10+ years of experience in technology leadership roles, preferably in a product-focused environment.
• retail + hospitality experience preferable
• working knowledge of itil and other relevant technology frameworks and best practice
• proven track record of successfully delivering complex technology projects.
• deep understanding of software development methodologies (e.g., agile, devops).
• strong knowledge of cloud platforms (e.g., aws, azure, gcp).
• excellent communication and interpersonal skills.
• proven ability to lead and motivate teams.

We are seeking a proactive Workspace Technology Engineer to provide end-user support. This role demands a strong problem-solver with excellent communication skills, capable of managing a range of hardware, software, and AV support issues. You’ll be the key interface between IT and the business, contributing to both day-to-day operations and greenfield projects. The ideal candidate will take initiative to analyze problems, propose solutions, and see them through to implementation while working alongside the team.

Key Responsibilities

• Serve as the initial point of contact for Workspace Technology issues, managing and resolving problems based on priority and severity.
• Ensure continuous availability of computing resources for end-users, coordinating with IT resources for escalated issues when necessary.
• Support cloud environments including servers, networks, and applications as needed.
• Provide timely resolutions via phone, email, or in-person support.
• Build, deploy, and manage Workspace Technology devices (including imaging, antivirus systems, application maintenance, patching, and system rollouts).
• Lead system orientation for new hires and manage end-user devices such as laptops, desktops, and mobile devices.
• Document processes, standards, configurations, and procurement details, ensuring records are up to date.
• Collaborate with the wider Workspace Technology team and Technology Team resources for comprehensive problem resolution.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 2-5 years of end-user or infrastructure support experience in a professional services environment.
• Fundamental understanding of Microsoft 365 (M365) setup and management within an organization.
• Good knowledge of hardware, including desktops, laptops, and mobile devices.
• Strong customer service orientation and a passion for helping end-users resolve issues efficiently.
• The ability to remain calm under pressure and handle urgent situations with professionalism.
• Excellent written and verbal communication skills, with the ability to multitask and manage time effectively in both independent and team settings.

Nice-to-Haves

• Experience with supporting users in the financial industry or on the trading floor.
• Strong technical background with the ability to identify, analyze, and resolve issues efficiently.
• Experience with Azure Active Directory, Windows, Unix environments, desktop, and server hardware.
• Familiarity with cloud platforms such as Azure and AWS (certifications are an advantage).
• Knowledge of PowerShell, scripting, or coding is highly desirable.

The IM Specialist is responsible for data, reporting requirements, and products/dashboards needed for Programme delivery decision making. The successful candidate will be responsible for carrying out the following functions:

Annually in advance coordinate and plan the Battle Rhythm of Programme governance meetings, then act as secretary to capture, draft and promulgate the records of actions and decisions.
Prepare, manage and disseminate all Programme related documentation to the SRO, Programme Director and other stakeholders within requisite timescales.
Manage the ‘SharePoint’ and ‘MS Teams’ sites, ensuring they are correctly configured and compliant with Programme Delivery Office (PDO) and Programme Management Support Function (PMSF) information requirements and best practice.
Ensure that all key Programme documentation (e.g. Artefacts, Business Cases, Programme Working Group and Board packs, including all related actions) are filed on SharePoint and are easily accessible by appropriate stakeholders.
Lead MODNET Secret and Official Super User for Typhoon Business Area.
Be the lead on Stakeholder Management, which includes maintaining the Stakeholder index and ensuring distribution lists are up to date.  
Engage and build good working relationships with Defence Equipment and Support (DE&S) and Industry Partners to act as a key POC for gathering requested data.
Other grade appropriate duties as required by the Line Manager.
The advertised role is flexible and can be undertaken through a combination of office and home-based working. There is a non-contractual arrangement where all office-based employees will typically be expected to spend a minimum of 60% of their working time in an office, subject to capacity and any required workplace adjustments. Requirements to attend other locations for official business, or work in another MOD office, will also count towards this level of attendance. Applicants can request further information regarding how this may work in their team from the job advert holder (see advert below for contact details).

For a comprehensive list of responsibilities and duties, please kindly refer to the Job Description and Person Specification by downloading the JD and PS attachment in the advert.

Job Summary

The job holder (2 years contract) reports to Director CDLT and is part of the management team that evaluates emerging pedagogy and technology related to education including implementing viable technological tools to enhance teaching and learning.

The job holder will work closely with both internal and external stakeholders to ensure that the curriculum and content development are developed successfully, and any learning technology adopted are with continuity through the provision of training, and the creation of self-help resources for users to enhance learning and good learner academic performance.

The job holder is expected to work from 8.30 am to 6.00 pm on weekdays and may be required to work over the weekends and Public Holidays to support MENDAKI’s events. Although the job holder is largely expected to work in an indoor environment, he is also expected to travel frequently for meetings.

Key Responsibility Areas

Curriculum Development

• Design and manage development of innovative, outcome-focused curriculum materials aligned with educational objectives and industry standards.
• Collaborate with subject matter experts to ensure curriculum content is current, engaging, and pedagogically sound.
• Recommend and integrate the learning technologies, including Learning Management Systems (“LMS”) and other educational tools, to enhance curriculum delivery and students’ engagement.
• Manage all instructional designs, employing evidence-based practices to create effective learning experiences.
• Manage the development of multi-media elements, including graphics, videos, and interactive components, to enhance instructional content with graphic and video developer.
• Stay abreast of emerging technologies and trends in educational technology to inform strategic decision-making and evaluate the pedagogical affordances.
• Manage storyboards and prototypes to outline the flow and structure of instructional content.
• Ensure curriculum designs are based on feedback and usability testing to enhance the learning experience.
• Make data-driven decisions to continuously improve curriculum content and delivery methods.
• Check that all multi-media elements are integrated seamlessly into the overall instructional design.
• Collaborate with cross-functional teams, including educators, technologists, and administrators, to ensure seamless integration of technology into the curriculum.

b. Curriculum Review & Evaluation

• Establish and enforce quality assurance processes for curriculum and instructional design, ensuring a high standard of excellence in educational content.
• Manage needs assessments to identify gaps in knowledge and skills and determine the most effective instructional strategies to address them.
• Conduct regular assessments and evaluations to measure the effectiveness of instructional materials and technology tools.
• Ensure that curriculum materials and learning technologies comply with relevant educational standards, regulations, and accreditation requirements.
• Collaborate with stakeholders to gather input and feedback for continuous improvement.
• Utilise data analytics to assess the impact of curriculum and learning technology on students’ learning outcomes.

c. Competency Development

• Develop and implement professional development programmes for educators and instructional designers, focusing on the effective use of learning technologies and best practices in instructional design.
• Communicate effectively with stakeholders, providing updates on curriculum development and learning technology initiatives.
• Conduct training sessions for educators and administrators on the effective use of learning technologies and newly developed curriculum materials.
• Mentor and guide instructional designers in the development of engaging and interactive instructional content.
• Participate in or lead special projects as required.

d. Team Management

• Effectively lead,motivate, and managethe staff underhis charge and foster a positive work environment.
• Delegate responsibilities, set performance indicators, and conduct performance evaluations to ensure the Team's success in meeting organisational objectives.
• Manage the budget for curriculum development and learning technology initiatives, optimising resources for maximum impact.

Requirements

• 8 - 10 years of related curriculum development, instructional design and learning development experience as well as learning technology.
• Experience with LMS and tools for learning (e.g.Articulate 360, Google Suite).
• Preferably had a master’s degree in MA (Instructional Design & Technology) or MEd (Learning Sciences & Technologies) or equivalent.
• Good understanding of youth, educationand working landscapes.
• Proficient knowledge of instructional design and current learning pedagogies and technologies.
• Strong interpersonal skills and the ability to manage stakeholders across different levels.
• Effective persuasive communication.
• Team leadership skills.
• Sound decision-making and problem-solving skills.
• Ability to multi-task.
• Strong projectmanagement skills.

Role Overview:

We are seeking an experienced Head of Technology Solutions for Corporate Functions to lead and oversee technology systems for Corporate Services Business Units on a global scale.

This role focuses on the implementation and support of key corporate systems, including an ongoing global SAP implementation across APAC, EMEAA, and the US. The ideal candidate will have a strong background in SAP implementations and global systems management, providing critical support to corporate functions while working closely with internal teams and external partners.

The successful candidate will lead a small, high-performance team responsible for the technology infrastructure, managing multiple projects and advancing a collaborative, results-driven environment. This individual will also be responsible for budget planning, programme accounting, and expenditure monitoring for their department.

Key Responsibilities

• Strategic Leadership: Lead and manage a small team responsible for delivering and supporting IT solutions for Corporate Services Business Units. Drive alignment of technology with business needs and ensure a high-performance, growth-oriented culture within the team.
• SAP Implementation: Oversee the global implementation of SAP systems, working across multiple regions (APAC, EMEAA, US) to ensure alignment, integration, and adoption. Collaborate with Corporate Services teams to support both existing and new SAP systems.
• Project & Vendor Management: Manage multiple projects focused on corporate systems, collaborating with internal teams and external vendors to deliver consistent, high-quality results. Develop standards for vendor management, contracts, and performance across projects.
• Budget & Programme Accountability: Take ownership of budget planning, expenditure monitoring, and financial reporting for the Corporate IT department. Ensure programme accounting and costing align with the company’s financial standards and project requirements.
• Collaboration & Partnership: Build strong relationships within the company and with external partners to facilitate successful project delivery, problem-solving, and innovation. Act as a bridge between business users, IT teams, and third-party vendors.
• Business Intelligence & Data Analytics: Drive initiatives focused on Business Intelligence and Data Analytics across functions and geographies, enhancing data-driven decision-making capabilities.
• People Development: Cultivate future leaders by providing team members with accountability and growth opportunities. Foster a high-performance culture that encourages continuous learning and development.

Key Requirements :

• Education: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field, or equivalent work experience.
• Experience:
• Minimum 8 years of experience in Heading Corp IT Function, with extensive experience in IT outsourcing and vendor management.
• Proven track record managing complex, global projects involving SAP implementations, with experience collaborating across multiple regions.
• Strong background in managing relationships between business users, vendors, and internal IT teams to deliver impactful results.
• Demonstrated experience in successfully leading Business Intelligence and Data Analytics initiatives across various functions and regions.

Skills:

• Strategic thinker with the ability to leverage technology to drive business outcomes.
• Excellent communication and leadership skills, with the ability to build and sustain high-performance teams.
• Strong analytical and problem-solving skills, with experience resolving integration issues at both project and system levels.

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.

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.