Company Summary

Julian Grey’s client is a global technology solutions provider supporting enterprise digital transformation, cloud platforms, and secure software delivery.

Responsibilities

• Lead the complete lifecycle of application development, encompassing frontend interfaces, backend systems, and cloud infrastructure.
• Design, build, deploy, and maintain highly scalable, secure, and performant web applications.
• Create responsive, accessible, and modular user interfaces utilizing modern frontend architectures.
• Develop robust backend services and orchestrate seamless system communication using standard protocols (e.g., REST, GraphQL, gRPC, WebSockets).
• Partner with QAand DevOps teams to drive automated testing, continuous integration/deployment(CI/CD), and infrastructure automation.
• Implement comprehensive security practices across all layers, including identity management (authN/authZ), API protection, and cloud security compliance.
• Continually enhance application performance, system observability, monitoring, and overall developer workflow efficiency.

Requirements

• Degree or Diploma in a technology-related discipline (Computer Science, IT, Engineering) combined with a minimum of 7 years of professional full-stack software engineering experience.
• Proven hands-on expertise in frontend and backend ecosystems, with strong proficiency in JavaScript, TypeScript, and modern web frameworks.
• Solid experience working with mainstream backend languages and frameworks (such as Node.js ecosystems, Ruby, Java/Spring, Python, .NET, or Go).
• Practical knowledge of version control (Git), deployment pipelines (CI/CD), cloud environments, containerization (Docker/Kubernetes), and Infrastructure as Code (IaC).
• Deep understanding of modern software engineering principles, including application security, automated testing, caching, logging, and performance tuning.
• Familiarity with any of the following is a plus: mobile development, design tools (Figma), APM solutions, micro-frontends, edge computing, or low-code platforms.

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Interested Applicants
Please WA Victoria @ 8887 7742
Shortlisted candidates will be notified

Victoria Siew
Reg No. R25158665
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568 

Job Summary

• Involve in the analysis, design, documentation, coding, and testing of enterprise-level software applications.

• Perform unit, integration, functional, and non-functional testing to ensure product quality and reliability.

• Troubleshoot and resolve production issues related to software applications in a timely manner.

• Evaluate existing systems and implement updates or add new features to enhance functionality and performance.

• Collaborate with team members in requirements discussions, design reviews, and solution planning, providing valuable technical insights.

• Prepare and maintain technical documents, ensuring clarity and completeness.

• Assist in project planning, provide time estimates, and ensure that development milestones are met.

• Work independently on assigned tasks while maintaining close communication with the project team.

• Respond proactively to suggestions for system improvements and enhancements.

• Perform any other duties assigned by the immediate supervisor or senior management.

Job Requirements:

• Bachelor’s degree or above in Computer Science, Software Engineering, or related fields.

• At least 5 years of hands-on experience in Java development, have some experience in team management.

• Proficient in Java web frameworks such as Spring MVC and familiar with RESTful APIs and Web Services.

• Familiar with HTML, CSS, JavaScript, and related front-end technologies.

• Experience with Oracle or MySQL databases.

• Familiar with version control tools such as Git or SVN.

• Experience with Spring Boot, RocketMQ, and Redis will be an advantage.

• Knowledge of BSS/OSS systems in the telecommunications industry is preferred.

• Strong problem-solving, analytical, and debugging skills.

Interested may click to apply / drop resume to whatsapp +65 8684 8297 (Sook Hooi - HR)

Role Overview

We’re looking for a highly analytical and performance-driven L3 Application Support Engineer with deep expertise in SRE, DevOps, and enterprise infrastructure. The role focuses on ensuring high availability for critical banking/corporate systems, driving automation, and leading complex incident resolution with minimal business impact.

Key Responsibilities

System Reliability & Incident Management

Provide L3 application support for 24/7 production environments with strict SLA adherence

Rapid triage, root cause analysis, and resolution of high-severity incidents for banking/corporate apps

Lead DR drills, post-mortems, and implement resilience improvements

Proactive health checks, patching, and performance monitoring to prevent outages

Manage CI/CD pipelines using Jenkins/GitLab, Bitbucket, and Azure Automation Runbooks

Implement Infrastructure as Code and automated deployments across Dev, UAT, Prod

Build scripts in PowerShell, Bash, Python, KQL, T-SQL to reduce manual toil and streamline operations

Track EOS/EOL components and drive technical upgrades for compliance

Platform & Database Administration Administer Azure SQL PaaS/IaaS, PostgreSQL, MongoDB, Redis, Elasticsearch, MariaDB

Manage Windows Server, RHEL8/9, OpenShift, and AWS S3 workloads

Configure monitoring and dashboards using Azure Log Analytics, ELK Stack, Grafana, OAPM

Security & Collaboration Remediate vulnerabilities using Microsoft Defender for Cloud/SQL and ensure compliance

Partner with Dev, Security, Compliance, and Vendor teams for long-term fixes

Own change/release management and maintain environment consistency

Create runbooks, SOPs, and knowledge transfer docs for L1/L2 teams

Required Skills & Qualifications

Cloud & Infrastructure: Azure Portal, Azure SQL, Logic Apps, VM Mgmt, RHEL8/9, OpenShift, AWS S3

Databases: SQL Server 2005-2019, MongoDB, Redis, Elasticsearch, PostgreSQL, MariaDB

DevOps/Tools: Jenkins/GitLab CI/CD, Bitbucket, Jira, Confluence, ELK, Grafana

Automation: PowerShell, Bash, KQL, T-SQL, Power Automate, Power Apps, Power BI

Security: Azure AD, Active Directory, SCOM, LDAP, Defender for CloudCertifications Preferred

Microsoft Certified: Azure Database Administrator Associate

Microsoft Certified: Azure Fundamentals

ITIL® v3 Foundation

About Venti Technologies
Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.

Position overview

The System Engineer is responsible for end-to-end system-level quality, integrating cross-functional components, and ensuring efficient issue resolution and continuous system improvement. This role bridges triage, development, and validation, evolving from issue handling to system ownership and optimization.

Role responsibilities

• System-Level Ownership

  • Own system behavior across modules (perception, planning, control, etc.)

  • Understand and manage cross-component dependencies and interfaces

• Advanced Triage & Root Cause Analysis

  • Lead complex issue investigations beyond surface-level triage

  • Drive root cause analysis across software, data, and system interactions

  • Ensure high-quality and timely resolution of critical issues

• Cross-Functional Coordination

  • Act as the central point between engineering, testing, and operations teams

  • Align priorities and drive resolution across multiple stakeholders

• System Quality & Process Improvement

  • Identify systemic issues and recurring patterns

  • Improve triage workflows, feedback loops, and system robustness

  • Propose and implement scalable solutions (not just case-by-case fixes)

• Data-Driven Decision Making

  • Use logs, metrics, and field data to diagnose issues and guide improvements

  • Define KPIs for system performance and triage efficiency

• Technical Leadership (Emerging)

  • Influence system design decisions based on real-world issues

  • Contribute to architecture discussions and quality strategy

Required experience

• Strong system thinking and ability to understand complex, integrated systems

• Experience in debugging, triage, or system integration (AV or similar complex systems preferred)

• Ability to work across teams and drive alignment

• Strong analytical and problem-solving skills

• Familiarity with logs analysis, data pipelines, and debugging tools

Company Overview

A-IT Software Services Pte Ltd, established in 1991 and headquartered in Singapore, specializes in development outsourcing with expertise in project management, system design, and development for consumer banking, credit cards, and loans. The company has a strong track record and regional presence in Malaysia.

Job Summary

You will analyze financial data using Python and analytics tools to deliver ad hoc insights and develop data analytics solutions that support business decision-making in financial institutions.

Responsibilities

• Analyze financial data using Python to generate actionable insights for business stakeholders
• Develop, build, and maintain data analytics solutions to support ongoing business needs
• Use analytics platforms and tools effectively to extract, transform, and visualize data for reporting and decision support
• Provide ad hoc data analysis and insights to address specific business questions and challenges

Other Information

This job advertisement is posted by: Tan Geok Khim (Deng Yuqin) (R22107857) A-IT Software Services Pte Ltd

• EA License No: 24C2345

• “By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by A-IT Software Services and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at [A-IT Software Services PDPA website] and [https: //www.e2i.com.sg/pdpa/].”

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

Job Summary:

As a Client Onboarding Executive under Bank Onboarding Program, you will play a key role in managing the onboarding journey for our international clients.

You will collaborate closely with internal teams and regional stakeholders to guide clients through the regulatory, operational, and service touchpoints needed to successfully onboard them onto the Bank’s Singapore platform.

JOB DESCRIPTION

• Manage end-to-end onboarding processes for international Bank’s clients, including account opening and product activation.

• Liaise with Relationship Managers and Client Service Manager to ensure all required documentation is accurate, complete, and compliant with regulatory standards (e.g., CRS, FATCA).

• Make welcome calls to new clients, introduce the bank's services, and guide them through their onboarding steps.

• Provide assistance to clients on using BANK digital platforms and accessing relevant banking services in Singapore.

• Monitor onboarding progress, follow up on outstanding items, and escalate issues as needed for timely resolution.

• Deliver a high standard of customer service while adhering to compliance and operational guidelines.

Key Requirements

• Diploma or Degree in Business, Finance, or a related field preferred.

• Minimum 2 years of relevant experience in banking, client servicing, or onboarding roles. Exposure to private or priority banking clients is advantageous.

• Strong communication and interpersonal skills. Multilingual candidates preferred (English, Mandarin, Bahasa Indonesia) due to diverse client base (Taiwan, China, Indonesia).

• Familiarity with basic banking products, digital channels, and onboarding regulations.

• Meticulous, client-focused, and a dependable team player.

• Comfortable working in a fast-paced environment with high attention to service detail.

This job advertisement is posted by:

Tan Geok Khim (Deng Yuqin) (R22107857)

A-IT Software Services Pte Ltd

EA License No: 24C2345

“By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by A-IT Software Services and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at [A-IT Software Services PDPA website] and [https://www.e2i.com.sg/pdpa/].”

Responsible for the timely and accurate processing of payroll for outsourced employees, including contract and temporary staff. Ensures compliance with statutory requirements, manages payroll-related enquiries, and liaises with clients and employees on payroll matters. Supports onboarding, offboarding, invoicing, and payroll administration while maintaining high standards of accuracy, confidentiality, and service delivery.

Responsibilities

• Process monthly payroll for contract and outsourced employees accurately and on time.
• Verify timesheets, attendance, overtime, and payroll-related claims.
• Ensure compliance with CPF, SDL, MOM regulations, and statutory requirements.
• Handle payroll enquiries from employees and clients.
• Maintain employee records and support onboarding/offboarding processes.
• Prepare payroll reports, billing data, and related documentation.
• Assist with work pass administration and HR operational matters as required.

Requirements

• Diploma or Degree in HR, Business Administration, Accounting, or related fields.
• At least 1 year of payroll experience, preferably in a recruitment or staffing environment.
• Familiar with Singapore Employment Act, CPF, and MOM regulations.
• Proficient in Microsoft Office, particularly Excel.
• Meticulous, organized, and able to work in a fast-paced environment.

We are seeking a Tech-Minded HR Operations & Systems Specialist to support HR operations while driving process improvements and automation. You will manage HR systems, streamline workflows, and enhance efficiency through digital solutions.

Contract:12 months
Salary: Up to $4,000/month
Location: Mapletree Business City
Working Hours: Mon–Thu: 8:30am–6:00pm | Fri: 8:30am–5:30pm

HR Operations & System Management

• Manage end-to-end HR processes including performance cycles, bonus administration, promotions, onboarding/offboarding, claims, and vendor payments.
• Support HR system queries, ensure data accuracy, and maintain compliance through audits and validation.
• Administer HR platforms such as Workday and FormSG, including user access, role management, and system maintenance.

Process Improvement & Automation

• Identify opportunities to automate repetitive tasks and improve HR workflows.
• Design and implement digital solutions using HR systems and low-code platforms.
• Maintain SOPs, system documentation, and support continuous improvement initiatives.

Data & Stakeholder Management

• Generate HR reports and insights to support business decisions.
• Partner with HR teams and stakeholders to gather requirements and enhance processes.
• Provide guidance, training, and support to drive system adoption and process compliance.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec ‘s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Chee Yung Chen (Zack) - R23112910

ScienTec Consulting Pte Ltd – 11C5781

Company Summary

Julian Grey’s client is a global technology solutions provider supporting enterprise digital transformation, cloud platforms, and secure software delivery.

Responsibilities

• Deliver advancedtier-2 and tier-3 application support, performing deep-dive code analysis to diagnose and resolve software anomalies.
• Oversee system telemetry and health metrics across all environments to guarantee optimal throughput, dependability, and system availability.
• Head the triage and mitigation of application and security events, isolating root causes while coordinating with cross-functional engineering teams and external partners.
• Partner with architecture, security, and product delivery teams to design and execute infrastructure and application enhancement strategies.
• Author and update technical documentation, standard operating procedures (SOPs), configuration baselines, and operational asset records.
• Supervise daily runtime operations, evaluate system metrics, and translate technical data into performance reports for leadership.
• Champion operational governance workflows, handling incident escalation matrices, SLA tracking, compliance audits, and formal change control.
• Orchestrate rotating operational coverage and vendor management structures to ensure continuous, around-the-clock platform stability when required.

Requirements

• Educational background in a technology discipline (CS, IT, or equivalent engineering field)coupled with a minimum of 7 years of hands-on application support or infrastructure engineering experience.
• Proven track record in high-tier (L2/L3) technical support, with the capability to investigate, debug, and patch issues directly within the codebase.
• Strong familiarity with IT Service Management (ITSM) frameworks, incident response workflows, SLA metrics, and change management protocols.
• Competency with modern observability suites, APM systems, and cloud-native monitoring infrastructure.
• Practical grasp of cloud systems, continuous deployment pipelines (CI/CD), Agile methodologies, and enterprise security or access control principles.
• Prior experience with automation tooling (e.g., Configuration as Code, IaC), public cloud ecosystems, enterprise content management (CMS), or headless commerce architectures is highly desirable.

Follow us for more updates, interview tips!
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https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Marie @ 80439947
Shortlisted candidates will be notified

Marie Xie
Reg No. R1103987
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Employment type: 1-year contract (Renewable)
Location: Ang Mo Kio
Working Days/ Hours: Mon-Fri 8:30am to 6pm
Eligibility: Singaporean ONLY

Job Overview:

We are looking for a Technical Specialist with AI competencies to support the development and implementation of digital learning applications, including Learning Management Systems (LMS) and other learning technology platforms.

This role involves designing, integrating, and maintaining intelligent learning solutions that enhance user experience, personalize learning pathways, and improve platform capabilities through AI technologies. The ideal candidate will combine strong software engineering skills with knowledge of AI tools and technologies applied to learning environments.

Key Responsibilities:

Learning Application Development

• Develop, customize, and maintain learning applications such as Learning Management Systems (LMS) and other digital learning platforms.

• Support system implementation, configuration, and deployment of learning technologies.

• Ensure applications are scalable, secure, and aligned with system architecture standards.

AI Integration & Development

• Design and integrate AI-powered features into learning platforms, such as recommendation engines, chatbots, or adaptive learning tools.

• Work with AI frameworks and APIs to enhance learning analytics, learner engagement, and personalization.

• Explore and implement AI-driven solutions to improve content discovery, learner support, and performance tracking.

System Integration

• Integrate LMS platforms with other enterprise systems (e.g., HR systems, authentication systems, analytics platforms) using APIs and middleware.

• Ensure compatibility with e-learning standards such as SCORM, xAPI, or LTI.

Testing & Optimization

• Conduct system testing, debugging, and performance optimization for both application and AI components.

• Monitor platform performance and identify opportunities for improvement.

Collaboration

• Work closely with instructional designers, project managers, and product teams to translate learning requirements into technical solutions.

• Collaborate with data engineers and AI specialists to implement machine learning models and intelligent features.

Documentation & Support

• Maintain technical documentation for system architecture, integrations, and AI components.

• Provide technical troubleshooting and support during system implementation and deployment.

Skills & Experience Required

• Technical Skills: Experience in software development using Python, JavaScript, C#, or Java. Knowledge of HTML5, CSS, REST APIs, microservices architecture, and Learning Management Systems (LMS) or learning technology platforms. Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
• AI & Data Competencies: Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience integrating AI APIs/services including NLP, recommendation engines, or chatbot frameworks. Understanding of learning analytics, data processing, and AI-driven personalization.
• Systems & Integration: Experience integrating enterprise systems through APIs or middleware. Understanding of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with SCORM, xAPI, LTI, or other digital learning standards is advantageous.
• Soft Skills: Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into practical solutions and work effectively in cross-functional teams.
• Systems Administration: Knowledge of user access management, data backup processes, and security protocols in cloud-based environments.
• Project Collaboration: Experience working with both technical and non-technical stakeholders in collaborative project environments.
• Attention to Detail: Ability to ensure configurations, customizations, and integrations meet required specifications and standards.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Certifications: Relevant certifications in AI, cloud platforms, or software engineering are an advantage. (e.g., Machine Learning, AWS, Microsoft, LMS-specific certifications).
• Experience with Cloud-Based Systems: Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in the context of learning platforms
• Experience with SCORM/ xAPI: Familiarity with e-learning standards like SCORM, xAPI, and Tin Can API for tracking and reporting learning activities.
• Familiarity with Data Security: Knowledge of data security practices, especially as they apply to sensitive learning and employee data.

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. State-of-the-art expertise across, Large Language Model (LLM) Integration, prompt engineering strategies and templates, retrieval-augmented generation (RAG) and agentic system etc.
• AI Ops. Responsible for integration, deployment and monitoring of Generative AI products and solutions. Enabling data architecture and delivery of data-analytics AI platforms and Solutions- on-premises, cloud, and hybrid ensuring adherence and conformance to Nomura standards and policies
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience in designing and developing AI agents or chatbots using Large Language Models (LLM), RAG, and agentic frameworks.
• Hands-on experience in building context-aware dialogue systems with multi-turn conversation management features.
• Demonstrated experience in developing and maintaining APIs and SDKs for integration of Generative AI services.
• Experience in developing and deploying scalable, fault-tolerant microservices and server-side APIs using modern frameworks and best practices.
• Proven experience in deployment automation using CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies and enterprise integration standards.
• Proficiency in programming languages such as Python, SQL, and Unix scripting for AI and data processing workflows.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Proficiency in React with hands-on experience in UI development a plus.
• Experience collaborating with global and cross-functional teams across different regions and time zones to deliver AI solutions.
• Demonstrated ability to manage multiple concurrent AI projects and meet delivery timelines in dynamic environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, including the ability to document and present complex concepts.
• Demonstrated analytical skills to assess technical problems, evaluate data-driven insights, and recommend actionable solutions.
• Experience reviewing system requirements, identifying optimization opportunities, and proposing enhancements aligned with organizational goals.

Education and experience

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data engineering /Gen AI, full stack engineering, preferably in financial organizations or Masters in quantitative fields (Computer Science, Computer Engineering, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 11821

Job Summary

This role is crucial for ensuring the reliable operation, maintenance, and deployment of all local IT systems, minimizing downtime, and providing excellent technical support to local staff. The ideal candidate is a hands-on problem-solver with strong technical acumen and excellent customer service skills.

Key Responsibilities

1. Technical Support and Incident Resolution:

• Provide L2 and L3 technical support for all field-related incidents and service requests, including troubleshooting hardware, software, network connectivity, and specialized site equipment (e.g., POS systems, local servers, IP cameras).

• Perform timely diagnosis, repair, and replacement of failed IT equipment, managing local spare parts inventory and logistics.

• Document all support activities, resolutions, and technical findings accurately in the IT Service Management (ITSM) system.

• Act as the technical point of contact during major site-specific incidents, ensuring effective communication and quick resolution.

2. Infrastructure Maintenance and Deployment:

• Perform regular preventative maintenance on local network closets, servers, and endpoint hardware, ensuring systems are patched, secured, and running optimally.

• Execute standardized equipment deployments for new site openings, technology refreshes, and site closure/decommissioning projects, adhering strictly to central IT standards.

• Manage local user accounts, access controls, and security policies as mandated by the central IT Security team.

• Collaborate with centralized Infrastructure and Networking teams on remote diagnostics, troubleshooting, and scheduled upgrades.

3. Asset Management and Documentation:

• Maintain accurate inventory records of all IT assets at assigned field locations, tracking asset lifecycle from deployment to disposal.

• Create and update technical documentation, knowledge base articles, and site-specific runbooks to empower local staff and improve First Call Resolution (FCR) rates.

• Ensure local compliance with corporate IT policies, licensing requirements, and physical security standards for IT equipment.

Qualifications

Technical Skills

• 3+ years of hands-on experience in IT Support, Field Service Engineering, or Systems Administration supporting a multi-site environment.

• Strong proficiency in troubleshooting PC/laptop hardware, operating systems (Windows 10/11), and common enterprise applications.

• Solid working knowledge of network fundamentals (TCP/IP, DNS, DHCP, basic routing, and switching) and remote access technologies (VPN).

• Experience with managing and troubleshooting specialized field equipment (e.g., Point-of-Sale/POS systems, local printers, industrial scanners).

• Experience with Active Directory and basic server maintenance/virtualization (VMware/Hyper-V).

• Relevant certifications such as CompTIA A+, Network+, or Microsoft Certified: Modern Desktop Administrator are highly desirable.

Professional Skills

• Excellent customer service, communication, and interpersonal skills, with the ability to clearly explain technical issues to non-technical users.

• Proven ability to work independently, prioritize tasks, and manage time effectively in a dynamic environment.

• Willingness to travel to assigned sites as required for installations, break-fix, and maintenance.

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. Deep expertise in data science with cutting-edge generative AI technologies to develop, implement, and optimize AI systems that create meaningful business value. You will work at the intersection of research and application, turning complex data into intelligent generative solutions.
• Model Development & Research. Design and develop generative AI models for various applications (text, image, code, multimodal). Research and implement novel approaches in prompt engineering, RAG systems, and model alignment. Stay current with latest research in generative AI, LLMs, and related fields
• Applied AI Solutions. Translate business requirements into generative AI technical solutions. Build and optimize retrieval-augmented generation (RAG) systems. Develop custom evaluation metrics for domain-specific generative tasks
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience developing and fine-tuning models using LLMs, diffusion models, and transformer architectures. Proficiency with frameworks such as Hugging Face, LangChain, or LlamaIndex. Working knowledge of Python libraries including pandas, NumPy, and scikit-learn for data analysis and model development.
• Demonstrated understanding of generative AI techniques, including attention mechanisms, tokenization, and embeddings. Hands-on experience applying prompt engineering, few-shot, and in-context learning for AI applications. Experience with model evaluation for generative performance, and working knowledge of responsible AI, bias mitigation, and safety frameworks. Familiarity with vector databases and semantic search systems.
• Proficiency in programming languages such as Python, SQL, and Unix shell scripting for AI and data engineering workflows.
• Experience designing, building, and deploying scalable and resilient microservices, including the development of efficient and secure server-side APIs.
• Proven experience implementing CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies to automate deployment and integration processes.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Experience collaborating with cross-functional and geographically dispersed teams across multiple regions to deliver AI/technology solutions.
• Proven ability to manage concurrent AI projects and meet delivery timelines in dynamic and fast-changing environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, with the ability to document AI processes and present technical content clearly to both technical and non-technical audiences.
• Demonstrated analytical and problem-solving skills with experience deriving data-driven insights and actionable recommendations.
• Experience evaluating business or technical requirements, identifying improvement opportunities, and proposing solutions that enhance system or business value.

Education and experience:

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data scientist /Gen AI, preferably in financial organizations or Masters in quantitative fields (Computer Science, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 12416