Description

We are seeking an AI Engineer with strong hands-on experience in Microsoft Azure AI services to design, develop, and deploy AI-powered solutions. The role focuses on leveraging Azure-native AI capabilities, data services, and machine learning tools to build scalable and production-ready intelligent systems.

Key Responsibilities

Design and implement AI solutions using Azure AI services

Build and deploy machine learning / AI models on Azure cloud

Develop APIs and services to integrate AI capabilities into enterprise applications

Work with structured and unstructured data for model training and inference

Collaborate with business and technical teams to define AI requirements

Deploy, monitor, and optimize AI solutions in Azure environments

Ensure performance, scalability, and reliability of AI systems

Support troubleshooting and enhancement of existing AI solutions

Required Skills & Experience

Hands-on experience with Microsoft Azure AI / Azure Machine Learning

Strong understanding of AI/ML concepts and model lifecycle

Experience deploying and consuming models via APIs

Strong programming skills in Python / Java / similar languages

Experience working with data pipelines and data processing

Knowledge of REST API integration and system design

Good to Have

Experience with Azure services (App Service, Functions, AKS, Data Factory)

Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)

Exposure to MLOps practices (CI/CD for ML models)

Experience with cloud monitoring and logging tools

Understanding of model evaluation and performance tuning

Soft Skills

Strong analytical and problem-solving skills

Good communication and collaboration abilities

Ability to work in Agile teams

Eagerness to learn and adapt to new cloud AI technologies

About the Role
We are looking for a Junior to Mid-Level ML Engineer to join the Model Engineering team. This role is suited for someone who enjoys working hands-on with computer vision models and understands models as systems to be trained, evaluated, improved, and optimised. You will work across the model lifecycle, including dataset preparation, architecture development, model training, evaluation, performance analysis, and optimisation for real-world computer vision applications.

Responsibilities

• Train, fine-tune, and evaluate computer vision models for classification, object detection, segmentation, pose estimation, and action recognition.
• Improve model performance through architecture enhancements, custom heads, backbone modifications, loss functions, and training strategy optimisation.
• Design experiments, conduct ablation studies, benchmark new techniques, and analyse model trade-offs.
• Investigate edge cases, debug failure cases, and improve model accuracy, robustness, and efficiency.
• Optimise models based on practical constraints such as latency, throughput, resource usage, and hardware limitations.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models.
• Strong hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.
• Experience with computer vision tasks such as classification, object detection, segmentation, pose estimation, or action recognition.
• Experience modifying models beyond configuration-level changes, including architectures, backbones, heads, loss functions, or training pipelines.
• Experience designing experiments, conducting ablation studies, analysing model performance, and debugging failure cases.
• Familiarity with multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with model optimisation techniques such as quantisation, pruning, or distillation.
• Familiarity with experiment tracking, reproducibility, and structured machine learning workflows.

About Us

Vivo Surgical is a patient-focused, clinician-driven medical device developer and manufacturer. Headquartered in Singapore with offices in China and Thailand, we are pioneering a novel endoscopic surgical robot for complex endoluminal surgeries. ISO 13485 certified with international accreditations awarded such as the US FDA and European CE mark, our devices target the medical needs of the world through innovative applications of science & technology. These encompass such fields as in vivo surgical LED lighting, portable endoscopy and endoscopic robots, which are strategically co-developed with world-class healthcare institutions and KOL collaborators. Join us as we build towards our vision of being Asia Pacific’s leading medical device developer and manufacturer.

About The Role

We value the importance of having a robust engineering team that would serve as a key pillar for sustained commercial success. To that end, we are looking for a Verification & Validation (V&V) Engineer to join us on this journey. In this role, you will be part of our fast-paced, fast-growing team and will take ownership of your role from the get-go. You will be planning, performing and documenting the system verification, integration and validation activities of our robotic system. You will be testing the requirements of our surgical robot to ensure that the product functions as intended. You will work with a multi-disciplinary team composed of mechanical, electrical, software and clinical engineers to develop the necessary test setups, protocols and reports. Your role will require you to work in close tandem with our external partners and suppliers.

Your responsibilities shall include the following:

• Interpret and translate system and subsystem design requirements into verification and validation plan.
• Develop test protocols, procedures and methodologies based on requirements and risk considerations.
• Design, develop test fixtures, jigs and test systems for verification activities.
• Execute testing, analyze results and generate comprehensive reports, ensuring full requirements traceability and system characterization.
• Coordinate and support external compliance testing (e.g. IEC 60601-1, IEC 60601-1-2, ISO 10993), including preparation and documentation.
• Contribute to risk management processes including Design FMEA and hazard analysis activities.
• Ensure all test equipment is properly maintained, calibrated and compliant with quality standards.
• Collaborate cross-functionally to investigate, troubleshoot and resolve system issues and failures.
• Drive continuous improvement by contributing ideas and supporting rapid design iterations to better meet user and clinical needs.

Your Qualifications & Experience

• Minimum Bachelor’s degree in Mechanical Engineering, Biomedical Engineering or related discipline.
• Minimum 3 years of experience in the medical device industry, with hands-on involvement in testing electromechanical systems.
• Solid understanding of standards such as IEC 60601-1, IEC 60601-1-2 and ISO 14971 is an advantage.
• Proven experience in developing and executing design verification protocols, generating test reports within a New Product Development (NPD) environment.
• Proficiency in CAD software such as SolidWorks and ability to interpret technical drawings is a plus.
• Familiarity with statistical analysis tools and methodologies such as Gage R&R and Minitab is a plus.
• Strong analytical, troubleshooting, problem-solving and communication skills.
• Adaptable, proactive, and able to thrive in a fast-paced, dynamic startup environment.

Contact

Please send your CV and cover letter to: hr@vivo-surgical.com. We look forward to receiving your application.

Responsibilities:

• Manage and oversee structured cabling projects, particularly in data center environments
• Coordinate with clients, contractors, and internal teams to ensure smooth project execution
• Plan, schedule, and monitor project progress to meet deadlines and budget requirements
• Review technical drawings, cable layouts, and design specifications
• Ensure installation works (copper & fiber optic cabling) meet industry standards and client requirements
• Conduct site inspections, testing, and commissioning activities
• Troubleshoot and resolve technical issues during project execution
• Prepare project documentation, reports, and handover materials
• Ensure compliance with safety regulations and company policies

Requirements:

• Diploma or Degree in Electrical Engineering, or related field
• Minimum 2–5 years of experience in structured cabling or data center projects
• Strong knowledge of structured cabling systems (e.g., Cat6/6A, fiber optic)
• Experience in data center infrastructure (rack setup, patching, containment, etc.)

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

Position Overview

Seeking a skilled Kafka Developer (& support specialist)to join for a client engagement. This role combines development and support responsibilities, focusing on maintaining existing Kafka clusters and enhancing applications as business needs evolve.

Kafka Cluster Management & Support

• Monitor, maintain, and optimise existing Kafka clusters to ensure high availability and performance
• Troubleshoot and resolve Kafka-related issues in production and non-production environments
• Perform regular health checks, capacity planning, and performance tuning of Kafka infrastructure
• Implement and maintain Kafka security configurations and access controls
• Support incident management and provide timely resolution for Kafka-related incidents

Development & Enhancement

• Develop and enhance Kafka-based applications using Java
• Design and implement Kafka producers, consumers, and stream processing applications
• Write clean, maintainable, and well-documented code following best practices
• Collaborate with development teams to integrate Kafka solutions into existing applications
• Conduct code reviews and ensure adherence to coding standards
• Implement monitoring and alerting solutions for Kafka applications

Continuous Improvement

• Identify opportunities for automation and process improvements
• Stay updated with the latest Kafka features and industry best practices
• Contribute to technical documentation and knowledge sharing
• Participate in capacity planning and infrastructure scaling activities

Technical Skills

Kafka Expertise: Strong hands-on experience with Apache/ Confluent Kafka, including:

• Kafka cluster setup, configuration, and administration
• Kafka topics, partitions, replication, and consumer groups
• Kafka Connect and Kafka Streams
• Performance tuning and troubleshooting
• Java Development: Proficient in Java programming with:
• Strong understanding of Java fundamentals and object-oriented programming
• Experience with Kafka Java client libraries
• Knowledge of multithreading and concurrent programming
• Familiarity with build tools (Maven/Gradle)
• Additional Technical Knowledge:
• Experience with message serialisation formats (like JSON)
• Understanding of distributed systems and microservices architecture
• Knowledge of monitoring tools (Prometheus, Grafana, or similar)
• Familiarity with version control systems (Git)
• Experience with CI/CD pipelines is a plus

Professional Experience

• Minimum 3-5 years of hands-on experience with Apache Kafka
• Proven track record in both development and support roles
• Experience in production support and incident management
• Background in maintaining mission-critical systems

QUESSCORP SINGAPORE PTE. LTD

Registration No. 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

About the Role

We are seeking System Engineers to support the design, implementation, administration, and maintenance of enterprise infrastructure environments supporting mission-critical operations.

This role offers the opportunity to work on large-scale infrastructure platforms, virtualization technologies, automation initiatives, and high-availability systems within a structured enterprise environment.

Both Junior and Senior System Engineers are welcome to apply.

Key Responsibilities

• Design, deploy, administer, and maintain enterprise infrastructure environments
• Manage Windows Server 2016/2019/2022 environments, Active Directory, Group Policy, DNS, DHCP, IIS, and related services
• Support and optimize VMware vSphere and/or Hyper-V virtualization platforms
• Monitor system health, performance, and availability to ensure operational stability
• Implement and maintain backup, recovery, and disaster recovery solutions
• Perform patch management, system hardening, vulnerability remediation, and security compliance activities
• Develop PowerShell scripts and automation solutions to improve operational efficiency
• Troubleshoot and resolve infrastructure-related incidents and technical issues
• Collaborate with cross-functional teams to support infrastructure projects and operational requirements
• Participate in system upgrades, capacity planning, and technology refresh initiatives
• Maintain technical documentation, operational procedures, and system configurations
• Provide technical guidance and knowledge sharing within the team
• Work with vendors and stakeholders to support infrastructure operations and enhancements

Requirements

• Minimum 8 years of hands-on experience in system administration and infrastructure management
• Strong expertise in Windows Server and Active Directory administration
• Hands-on experience with VMware vSphere or Hyper-V
• Experience in backup and disaster recovery solutions
• Strong PowerShell scripting and automation skills
• Experience managing high-availability enterprise environments
• Strong troubleshooting and problem-solving skills

Preferred Skills

• Microsoft Azure, AWS, or Google Cloud Platform
• Infrastructure as Code (IaC) tools and practices
• SCCM, WSUS, or equivalent patch management platforms
• Monitoring solutions such as Splunk, ELK, or Prometheus
• Linux/Unix administration experience
• ITIL service management knowledge
• Network and cybersecurity knowledge
• Relevant Microsoft, VMware, or infrastructure-related certifications

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Jagdev Singh Sidhu (EA Personnel Reg. No. R1108594, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

We regret that only shortlisted candidates will be notified.

• Well Established Security Inspection Solutions Company

• Salary: $2500 - $2800 (Basic) + $300 Transport Allowance

• Working Hour: Monday - Friday (8.30am – 5.30pm)

• Company Location: Jurong East (Based on Project Site)

• Variable bonus + Excellent Wellfare

• Training Provided

Job Scope:

• Assist Engineers in the maintenance, repair, and installation of equipment. Diagnose errors and technical issues and determine appropriate solutions.
• Support Engineers in project management, including planning, execution, and monitoring.
• Assist with the installation of new equipment and systems.
• Conduct routine troubleshooting of mechanical and electrical equipment to ensure smooth operations.
• Produce timely and detailed reports regarding maintenance activities, project status, and any issues or delays.
• Follow all company field processes and protocols to ensure safety and efficiency.
• Perform basic housekeeping duties to ensure a clean and safe work environment.
• Perform any other engineering-related tasks as assigned by senior engineers or management.

Requirement:

• Diploma in Electrical / Mechanical Engineering or equivalent
• 0 - 2 years of relevant working experience in similar position

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Key Responsibilities

• Evaluate machinery and equipment specifications to ensure they meet technical requirements; interpret classification rules and respond to review comments.

• Familiar with equipment specifications and installation requirements for main engines, generators, propulsion systems, gearboxes, hydraulic equipment, HVAC, refrigeration, and related systems.

• Knowledgeable in marine piping systems including bilge, ballast, tank gauging, cooling, fuel oil, sanitary, fire protection, and others. Capable of selecting appropriate pump types, compressors, pipe materials, thicknesses, valves, and fittings that meet pressure ratings and functional needs.

• Coordinate with designers and vendors to develop pipe schematic diagrams, machinery space equipment layouts, and equipment installation plans.

• Review mechanical interfaces for major equipment such as main engines, gearboxes, and propeller shafting.

• Collaborate with a team of engineers to develop detailed 3D ship models for production, including interfacing and clash checks on pipe routing, HVAC, electrical installations, and other systems; generate material take-offs (MTO) for pipe routing, fittings, and pipe spools.

Requirements

• Bachelor's degree or Diploma in Marine Engineering.

• Minimum 5 years of relevant experience in a shipyard environment.

• Proficiency in AutoCAD.

• Good overall computer skills.

• Solid understanding of shipbuilding and project processes; ability to comprehend technical specifications and engage in project discussions with clients.

• Strong analytical, communication, and interpersonal skills.

• Willing to travel to Batam or other countries for technical meetings as required.

Job Description & Requirements

This role is ideal for engineers who enjoy hands-on technical operations, troubleshooting complex infrastructure issues, and driving automation initiatives within mission-critical environments.

Key Responsibilities

• Manage and support enterprise Microsoft Exchange and Active Directory environments.
• Ensure availability, performance, security, and integrity of messaging services.
• Administer user accounts, access controls, and Group Policy Objects (GPOs).
• Support incident, problem, change, configuration, backup, patch, and vulnerability management activities.
• Assess and implement service requests and change requests.
• Perform upgrades, migrations, patching, and platform maintenance.
• Monitor system health, capacity, performance, and availability.
• Troubleshoot and resolve complex infrastructure issues.
• Develop scripts and automation tools to improve operational efficiency.
• Maintain technical documentation, system diagrams, and operational procedures.
• Collaborate with infrastructure, engineering, and application teams to enhance platform performance and reliability.
• Evaluate and recommend new technologies and improvements.

Requirements

• Diploma or Degree in Computer Science, Engineering, IT, or related disciplines.
• Minimum 3 years of experience supporting Microsoft Exchange environments.
• Experience managing large-scale enterprise environments with 5,000+ mailboxes.
• Strong knowledge of:Microsoft Exchange Server (On-Premises)Active DirectoryGroup Policy (GPO)Windows Server Administration
• Hands-on scripting experience in PowerShell, Shell, Bash, or Python.
• Experience in incident, problem, change, and configuration management processes.
• Strong troubleshooting and analytical skills.
• Familiarity with Agile methodologies such as Scrum or Kanban is advantageous.
• Excellent communication and stakeholder management skills.

Preferred Certifications

• Microsoft Certified Professional (MCP)
• Microsoft Certified Solutions Associate (MCSA)
• Microsoft Certified Solutions Expert (MCSE)
• Equivalent Microsoft infrastructure certifications

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

We regret that only shortlisted candidates will be notified.

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

ACMV Engineer (Air Conditioning and Mechanical Ventilation Engineer)

Working Days: Monday – Friday
Working Hours: 9am – 5.30pm
Salary: $ 3,800 - $ 5,000
Working Location: Eunos

Industry: Interior Design & Construction Company

Job Responsibilities:

• Design and planning of ACMV and MV systems
• Preparing and submitting tenders (Tender Costing)
• Conducting site surveys and managing the construction site (Site Management)
• Familiar with and arranging ACMV related services
• Assisting in the procurement of engineering equipment and materials (Procurement)
• Supervising on-site installation work to ensure compliance with drawings and specifications
• Assisting in testing and commissioning (T & C) Commissioning) Assisting with system troubleshooting and problem solving
   

Requirements:

• Diploma in Engineering-related experience (Mechanical, Electrical or construction services preferred)
• 2+ years of relevant work experience
• Familiarity with local regulations and standards preferred 

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Role Overview

We are seeking an experienced Backend Engineer with strong expertise in Generative AI technologies to join our growing AI engineering team. This role focuses on designing, developing, and maintaining scalable backend services, AI orchestration frameworks, and cloud-native AI solutions that support enterprise-grade AI applications.

The successful candidate will contribute to the development of intelligent agent frameworks, Retrieval-Augmented Generation (RAG) solutions, AI marketplaces, and secure AI-enabled services while collaborating closely with product, frontend, and platform engineering teams.

Key Responsibilities

AI Orchestration and Agent Development

• Design and develop orchestration frameworks for AI agents using Python-based technologies and cloud-native AI services.

• Develop, integrate, and maintain reusable AI capabilities, agent workflows, and third-party API integrations.

• Support the onboarding and lifecycle management of agent capabilities and automation services.

Advanced RAG and Cloud Integration

• Design, implement, and optimise Retrieval-Augmented Generation (RAG) architectures.

• Integrate Large Language Models (LLMs), embedding models, and enterprise knowledge sources within cloud environments.

• Manage retrieval strategies, context management, and performance optimisation for AI applications.

Platform and Marketplace Development

• Design and develop backend services supporting AI capability marketplaces and knowledge-sharing platforms.

• Enable secure publishing, versioning, management, and governance of datasets, AI agents, document-based chat applications, and reusable AI capabilities.

Backend and API Engineering

• Architect, develop, and maintain scalable backend services and APIs.

• Design and manage relational database solutions, including PostgreSQL, to support application data and workflow management.

• Ensure high availability, performance, maintainability, and scalability of backend systems.

Vector Search and Data Engineering

• Design and optimise vector search, retrieval systems, and search infrastructure.

• Manage vector databases, search platforms, and indexing strategies to improve retrieval accuracy, relevance, and performance.

Agent Observability and Evaluation

• Implement monitoring, telemetry, and observability capabilities for AI applications and agent workflows.

• Develop evaluation frameworks to assess AI outputs, application performance, reliability, and quality.

• Support initiatives to improve model performance and reduce inaccurate or undesired outputs.

AI Security and Governance

• Implement security controls for AI applications, including access controls, data protection measures, content filtering, and secure integration practices.

• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.

• Support the responsible use of AI technologies through risk management and governance frameworks.

Data Pipelines and Platform Support

• Design and maintain data ingestion, transformation, and processing pipelines supporting AI applications and knowledge systems.

• Support data preparation workflows and integration with vector databases and enterprise data platforms.

Cross-Functional Collaboration

• Work closely with frontend engineers, designers, product teams, and platform engineers to deliver end-to-end AI-enabled solutions.

• Participate in architecture reviews, technical discussions, and continuous improvement initiatives.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 5 years of software engineering experience with strong expertise in backend development, API design, and distributed systems architecture.

• Hands-on experience building AI-enabled applications using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent technologies.

• Experience working with managed Large Language Model (LLM) platforms and AI services.

• Strong familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Experience with AI services including AWS Bedrock, OpenSearch, or equivalent cloud-native AI technologies will be advantageous.

• Strong experience with PostgreSQL and relational database systems.

• Familiarity with vector database technologies, semantic search, and retrieval systems.

• Experience developing secure, scalable, and production-grade software solutions.

• Understanding of modern frontend technologies such as React and Next.js.

• Experience using AI-assisted software development tools while maintaining software quality, security, and maintainability standards.

Preferred Experience

• Experience with workflow automation platforms such as n8n, Flowise, or similar technologies.

• Experience with AI observability, monitoring, and evaluation tools.

• Experience working within environments requiring strict security, governance, privacy, or regulatory compliance standards.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Deals with clients,designers, consultants and contractors, supervies and implements projects fromstart to the completion and handover.

- Perform preventive andcurative Electrical and instrument maintenance.

- Project planning &coordination including preparation of drawing and explain to team.

- Procurement andscheduling of electrical works.

- Settle issues onsystems after handover during the defects and liabilities period.

Supervisesduring the construction stage from start to the completion and handover of theproject.

-Minimum Degree in Engineering or similar field its equivalent.

-Good interpersonal skills and pro-active in problem solving.

-Proficient in Microsoft office - Word, Excel & Powerpoint.

Knowledgein other design related software such as Autocad and Autocad 3Dmax.

-Can work under pressure and team player.

-Able to work long hours due to project urgency if needed.

- Qualityfocused and ability to meet deadlines in fast-paced project environment.

-Ad-hoc duties