Role Overview: We're seeking a motivated entry-level AI Engineer to join our AI team. You’ll help build LLM-powered applications and autonomous AI agents that go into the customized software we deliver for clients across financial services, insurance, telecom, retail, and utilities.

The role is hands-on, involving turning business problems into working AI features such as retrieval-augmented applications, document-processing systems, and multi-step agents, and getting them into production alongside our senior engineers. It’s a strong opportunity for a recent graduate to build real AI engineering experience on live client projects.

Key Responsibilities:

LLM Application Development

• Prompt Engineering: Develop and iterate on prompting strategies for reliable, task-specific outputs.

• LLM Integration: Build applications on top of large language models for document processing, customer support automation, and financial analysis.

• Retrieval-Augmented Generation (RAG): Assist in building RAG pipelines which includes chunking, embeddings, vector search, and grounding responses in client data.

• Evaluation & Guardrails: Help test LLM outputs for accuracy and safety, and apply basic guardrails such as PII handling, prompt-injection checks, and output validation.

Agentic AI Development

• Agent Development: Learn to build autonomous and multi-agent systems that plan and execute multi-step tasks.

• Tool Integration: Create and integrate tools and APIs that agents use to interact with external systems.

• Orchestration: Work with agent frameworks and orchestration tooling to compose reliable agent workflows.

Model Development

• Model Development: Assist in training, fine-tuning, and optimizing machine learning models for classification, regression, and NLP tasks.

• Model Evaluation: Support evaluation of model performance and help interpret results.

• Data Preparation: Prepare and curate datasets for training and evaluation, including labeling, cleaning, and formatting.

AI Application Engineering

• Python Development: Build Python applications, microservices, and APIs that serve AI models and agents.

• Deployment Support: Support deployment of AI applications to production, including basic CI/CD and containerized workflows.

• Monitoring: Help set up monitoring and alerting for model performance and application health.

Cross-Functional Responsibilities

• Research & Development: Keep current with AI/ML and agent developments; experiment with new models, frameworks, and techniques.

• Collaboration: Work with senior engineers, product managers, and business stakeholders to identify and shape AI opportunities.

• Documentation: Document prompts, agent designs, model architectures, and runbooks so others can build on your work.

Required Qualifications:

• Education: Diploma or Bachelor’s Degree in Computer Science, Computing, Software Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field. Recent graduates are welcomed.

• Academic Foundation: Coursework in machine learning, statistics, data structures, and algorithms.

• Programming Skills: Proficiency in Python and working knowledge of SQL, with academic or personal project experience.

• ML Foundation: Understanding of core machine learning concepts and how models are trained and evaluated.

• LLM Curiosity: Genuine interest in large language models, prompting, and building applications on top of them.

• Learning Mindset: Strong desire to learn AI engineering and agent frameworks, with the adaptability to pick up new tools quickly.

• Problem Solving: Analytical thinking and a systematic approach to AI and data problems.

• Communication: Good written and verbal communication for collaborative work and stakeholder discussions.

Preferred Qualifications

• LLM Experience: Personal projects, coursework, or internship experience building with LLMs (e.g. Anthropic, OpenAI, or open models).

• Agent Development: Familiarity with agent frameworks such as Strands and LangChain, and orchestration with LangGraph.

• RAG & Vector Search: Exposure to embeddings and vector databases such as OpenSearch, pgvector, or FAISS.

• Deep Learning Frameworks: Academic projects using PyTorch or TensorFlow.

• Data Science Libraries: Experience with Pandas and NumPy.

• Cloud Exposure: Basic familiarity with AWS (preferred), GCP, or Azure, and with cloud AI services such as Amazon Bedrock.

• Containers & Version Control: Working knowledge of Docker and Git.

• Databases: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.

This is an internship opportunity in Maintenance Administration based in Nilai.

As part of the internship program, the intern will support the Maintenance department in various tasks such as assisting in updating maintenance records, tracking spare part inventory, preparing purchase requests, coordinating preventive maintenance schedules, and organizing maintenance documentation. Additional duties may be assigned as needed.

They will also gain exposure to cross-functional collaboration and receive mentorship within our fast-paced, factory-based environment.

Role Overview:

Being part of JD Team, you will be responsible for ensuring our customer receive the best possible service each time they visit your store. You will assist in maximizing store profitability by exceeding your sales targets and utilizing the in-store devices, while contributing to a successful store team.

• Drive sales, ensuring that targets are achieved and, where possible, exceeded.

• Utilise the in-store devices, offering the customer the whole product range.

• Provide alternatives and add on sales at every opportunity.

• Greet all customers in a warm, genuine and friendly manner.

• Ensure that customers receive the best possible service every time that they enter a JD store.

• Understand the process of the Customer Service measuring programme.

• To deputise for other staff, work within departments, or carry out other duties as required.

• Represent JD Sports in the most professional manner at all times.

• Conduct your work in a safe and responsible manner.

What we are looking for in you are:

• Passion in retail business and sportswear

• Good Customer Service

• Good Communication Skill

• Confident and outgoing

• Sales driven

About the Role

As a Sales Executive at Cititel Express Kota Kinabalu, you will focus on driving sales within the government segment and meeting packages.

What You’ll Be Doing

• Drive sales with a focus on government clients and meeting packages.

• Promote and sell meeting rooms and event packages.

• Build and maintain relationships with government agencies and key clients.

• Conduct client meetings and site visits to understand requirements.

• Liaise with hotel departments to ensure smooth event arrangements.

• Follow up with clients and identify new business opportunities.

• Work towards achieving sales targets.

• Perform other ad hoc duties as required.
  

What We’re Looking For

• Relevant qualification in Sales, Tourism, Hospitality, Business, or a related field.

• Experience in hotel sales, meeting and event sales is an advantage.

• Experience dealing with government clients is highly advantageous.

• Good communication and interpersonal skills.

• Good command of English and Bahasa Malaysia.

• Strong organizational and coordination skills.

• Proactive, customer-oriented, and target-driven.

Willing to work during events, weekends, and public holidays when required.

At Cititel Express Kota Kinabalu, we are committed to providing our employees with a supportive and rewarding work environment. In addition to a competitive salary, we offer a range of benefits including:

• Annual leave and sick leave entitlements

• Comprehensive health insurance coverage

• Opportunities for professional development and career progression

This role is responsible for providing comprehensive analytical, data support and operational to the SEA Mono Merchandising team. Serves as the operational anchor for the regional Retail Merchandising team - driving sell-through analytics, consolidating cross-market performance reports, maintaining seasonal master linelist / trackers, and supporting inventory optimization. Converting sell through data into actionable commercial insights and sharing key findings across regional and local cross-functional teams to support business execution across Southeast Asia.

Your Mission

Task 1: SEA DTC Sell-Through Analytics, Action Plans & Cross-Functional Sharing

• Compile, analyse, and manage the SEA DTC Key Campaign / KI Sell Through tracker on a weekly basis, ensuring strict data accuracy.

• Identify top performance drivers, slow moving items from weekly/monthly sell-through data, aligning with country stakeholders for concrete action plans and recommendations.

• Compile and sharing FPS weekly performance findings and action plans with the broader SEA regional team and local market stakeholders to drive aligned commercial decisions.

• Maintain and update the Country Seasonal Key Initiative (KI) Tracker and promotional calendars on a weekly basis.

• Generate comprehensive seasonal sell-through reports to support forecasting, range planning, and future season buys.

Task 2: Retail Merch Operations, Master Data & Tracker Management

• Manage and update country Master linelist including both RRP and ISD. Review the RRP/ ISD with key stakeholders and maintain in SAP.

• Coordinate with Retail Merchandising team on promotion setups in Prism.

• Lead the preparation, consolidation, and distribution of reporting materials for the monthly country DTC review meeting, tracking post meeting follow up actions.

Task 3: Dedicated Country & Regional Stock Optimization

• Monitor overall regional stock movement, identifying inventory imbalances across SEA markets and executing intercompany stock transfer process to maximize stock health.

• Indonesia market support, manage and coordinate stock transfers between entities (ID01 to ID02 for FPS & FOC) on a weekly/monthly basis.

Task 4: Internal team meeting & Buying Process Support

• Coordinate and support weekly SEA Merch team meeting, leading internal sell through tracking to support on the decision for re-orders / stock transfer between markets.

• Seasonal Buy Prep Support: Provide operational, data consolidation, and analytical support to the Buying Team during seasonal buying period.

Your Talent

Education: Bachelor's degree in Business Management or relevant studied.

Professional: A minimum of 2 years of experience in retail merchandising operations, inventory management, or merchandise planning/analytics. Preferably candidates from the sports, fashion, or footwear industry.

IT Skills: Microsoft Excel, Word, and PowerPoint

Language Skills: English

Purpose Statement:

Routine final functional testing, product/ material release criteria testing/inspection and recording of test results. Review and update of QA Documentation. Initiate and work on nonconforming report. Ensure the nonconforming report is closed in timely manner. Assist in compiling Monthly Nonconformance Board Report on an ad hoc basis.

 
Job Responsibilities:

• Routine final functional testing, product/material release criteria testing/inspection and recording of test results.

• Review and update of QA Documentation.

• Initiate and work on nonconforming report. Ensure the nonconforming report is closed in timely manner.

• Performing product defect analysis.

• To provide assistance and support to the Quality Engineering and Operations function.

• Compliance to all QA Laboratory and all relevant plant wide procedures and practices.

• Compliance to all standard and regulation.

• Provision of excellent service to all internal customers.

• Communicates any concerns about work process regarding environmental impact, health or safety issues to their Manager.

• Decision making ability coupled with the ability to work on ones own initiative and with minimum supervision is required.

• Good interpersonal skills and organizational skills.

• Excellent attention to detail.

• Identifies, resolves and prevents Manufacturing issues by determining root cause and implementing corrective and preventive action.

Job Requirements :

• Candidate must possess at least a Diploma / Degreen in Engineering, Science or equivalent.

• Required skill(s): Distribution Centre QA Release Process, SAP System, Quality Notification, Product Nonconformance Handling

• Required language(s): Bahasa Malaysia, English

• At least 1-3 year(s) of working experience in the related field is required for this position.

1. Program machining processes for parts based on drawings and dimensions, including fixture and special tool processes.

2. Select tools and fixtures according to material requirements, compile programs and tool paths, and perform simulation verification to ensure no errors in machining programs.

3. Continuously optimize processes and tool paths to improve product quality and efficiency.

4. Assist in solving problems arising in new product development and production.

Requirements：
1. Familiar with machining processes and workflows, proficient in NX1953 or higher programming software, with more than 3 years of process programming experience, especially in large structural part processing, aerospace parts preferred.

2. Understand machining features of materials, be proficient in selecting tools, tool holders, speeds, and feeds.

3. Skilled in five-axis and three-axis machining, with rich programming experience; more than 2 years in five-axis programming preferred.

4. Proactive, with good stress tolerance, and more than 3 years of work experience in process programming.

Key Responsibilities:

• Operate bagging equipment for 25 kg bags, including weighing, sealing, stitching, and labelling.

• Loading / unloading from tanks and IBC.

• Perform manual handling, stacking, and palletizing of finished goods.

• Support production activities such as raw material feeding, mixing, and basic equipment operation.

• Operate forklift to move raw materials, packaging materials, and finished products.

• Load and unload materials from trucks and internal storage areas.

• Follow FIFO, lot traceability, and bin allocation procedures.

• Conduct basic visual quality checks on finished products and packaging.

• Maintain cleanliness and housekeeping of production and warehouse areas.

• Comply with GMP, HACCP, feed safety, and workplace safety requirements.

• Use appropriate PPE and follow all safety instructions.

• Assist during plant commissioning, start-up, and production ramp-up.

• Report equipment issues, process deviations, or safety risks to the supervisor.

• Support basic maintenance tasks such as cleaning, inspections, and minor adjustments as instructed.

 
Qualifications & Experience:

1–3 years of experience as a production or factory operator, preferably in:

• Animal feed

• Feed additives

• Food or related manufacturing industries

• Proven experience with 25 kg bagging operations.

• Experience operating a forklift; valid forklift license is an advantage.

• Experience working in a manufacturing or industrial plant environment is required.

• Familiarity with GMP, HACCP, or similar quality systems is an advantage.

**This position is for short-term contract from mid September to mid November 2026**

Job Description

1. Providing a safe and nurturing environment for children while their parents or guardians are away

2. Planning and engaging in children activities that promote social, emotional, and cognitive development

3. Assisting with personal care tasks, such as bathing, grooming, dressing, and toileting as needed

4. Monitoring and administering medication or treatments as prescribed by a healthcare provider or parent/guardian

5. Preparing and serving meals and snacks, and assisting with feeding if necessary

6. Performing light housekeeping duties related to the care of children, such as laundry, cleaning, and organizing

7. Maintaining accurate and up-to-date records of care provided, including observations of any changes in behavior, health, or development

8. Communicating with parents or guardians about the child's progress, needs, and any concerns that arise

9. Ensuring the safety and well-being of children at all times, including during outdoor activities or while traveling.

Qualifications

• Within 1h transport from door to door (Our nursery is located at Lalaport Bukit Bintang City Centre, 1min from Hang Tuah station)

• Bachelor degree, diploma and SPM or any equivalent practical experience required.

• Completed KAP courses under Ministry of Welfare

Language

English

Chinese (Preferred but not mandatory)

Bahasa Malaysia (Preferred but not mandatory)

Japanese (Preferred but not mandatory)

About Human Star Child

Human StarChild Care Center is run by Human StarChild of Human Holdings Group, which has 42 licensed nursery schools in Japan. We have 20 years experience in nurturing healthy children and have branched in Indonesia and Malaysia.

We strive to provide a safe and secure childcare environment from the time parents or guardians drop off their child in the morning to the time they pick up in the evening.