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Skills:

Agile Development, Recruitment, English

Job type:

Full-time

• Summary.
• This position is to join the Operational Testing team in Bangkok as an operational tester for Navblue Ops& Crew products.
• The Operational Testing team mission is to implement and run tests at an operational level, meaning using the Navblue products as they are used in Airlines by our customers. This step of operational End to End testing is the last step before quality gate for delivery to customers.
• The activity will be driven by the developments done by Software Factory teams working in SAFe methodology in different Agile Release Trains. Based on Program Increment (PI) content, the Operational Testing Team will coordinate with Agile development teams to get inputs on functional changes that will need to be tested. The main responsibility of the team will be to implement and run the operational End to End tests.
• This position is related to Navblue Ops & Crew products being Command+ Ops & Crew, N-OC and PBS.
• The Operational testing team reports locally to the Head Of System Integration team in BKK and operationally to the Head of Operational maturity.
• Run the Operational testing scenario (already existing for N-OC, in progress for Command+ Ops, to be written for PBS).
• Update existing testing scenarios and scripts for new functionality implemented. Coordinate with the Product Manager and Subject Matter Experts to understand the scope of the new functionalities implemented.
• For PBS, coordinate with PBS Subject Matter Experts to write operational use cases testing scenarios.
• Coordinates with Release Management for different products to establish a testing planning, with the support of the HO maturity.
• Manage test datasets (creation, update) needed for the operational testing phase.
• Write and update defects found and join the different reviews to prioritize and explain seen defects.
• Write Operational tests results for each version/build tested, in response to a test order delivered by the Product Manager.
• Ensure cross team communication (escalation if inputs not received, synchronisation meeting with Product Manager or Subject Matter experts, ).
• Support the continuous improvement initiatives within the organization.
• Support adhoc project initiatives in the organization especially during non release periods.
• Academic/Educational Requirements.
• Bachelor or Master degree in aeronautical, aerospace or appropriate field with equivalent work experience.
• Aviation/Aeronautical knowledge.
• Required Skills/Experience.
• 3 to 5 years' experience working in an airline as Crew planner or Crew scheduler.
• Knowledge of Navblue products is an asset.
• Proficiency in English spoken and written.
• Understanding of airline operations, flight planning, or air navigation principles.
• Passion for the aviation industry.
• Must work effectively with others in a team environment.
• Proactive, problem solver with effective interpersonal and communication skills.
• Able to effectively communicate, both verbally and written.
• Ability to manage through a period of growth or transition a definite asset.
• Excellent organizational and time management skills.
• This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth.
• Airbus Flight Operations Services Limited.
• Permanent.
• Professional.
• Testing.
• By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
• Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
• Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to.
• [email protected].
• At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Experience:

3 years required

Skills:

Procurement, Nutrition, Backbone

Job type:

Full-time

• Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.
• Supply.
• Our supply chain is the backbone of our business. It's how we get our trusted produc ...
• About the role.
• Your responsibilities.
• The experience we're looking for.
• The skills for success.
• What we offer.
• With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
• Equality.
• We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Experience:

5 years required

Skills:

Project Management, Content Creator, Video Editing, Social media, English, Thai

Job type:

Full-time

• The Content & Production Manager is responsible for leading and overseeing the end-to-end content creation and production operations of the Business Unit, covering content planning, content creation, video production, video editing, and on-location shooting.The position ensures that all content and production deliverables are aligned with client objectives, brand guidelines, platform requirements, campaign strategies, and agreed timelines. The job holder is responsible for managing the Content Creator, Video Editor, and Production teams while coordinating closely with Account Manag ...
• Lead and manage the Content Creator, Video Editor, and Production teams.
• Oversee the full content production process from pre-production to post-production.
• Develop content concepts, scripts, storyboards, shot lists, and production plans.
• Manage studio and on-location shoots, including schedules, talents, equipment, locations, and budgets.
• Review and ensure the quality of content before client submission or publication.
• Coordinate with Account Management, Creative, Marketing, E-commerce, Influencer, and other related teams.
• Manage multiple projects, timelines, team capacity, and production resources.
• Improve workflows, SOPs, and quality standards across the Content & Production function.
• Coach and develop team members to strengthen both creative and operational capabilities.
• Bachelor's degree in Communication Arts, Film, Media Production, Digital Media, Marketing, Advertising, Creative Communication, or a related field.
• At least 5-7 years of experience in content creation, video production, creative production, digital media, advertising, or a related area.
• At least 2-3 years of experience in a supervisory or managerial position.
• Demonstrated experience managing Content Creators, Video Editors, production teams, or multidisciplinary creative teams.
• Strong knowledge of end-to-end content-production processes, including pre-production, production, and post-production.
• Experience in digital content, social media, e-commerce, social commerce, advertising agencies, or fast-paced production environments is preferred.
• Experience managing on-location shoots, studios, external vendors, production crews, talents, or influencers.
• Good understanding of social media platforms and platform-specific content requirements.
• Knowledge of video-editing software, production equipment, lighting, sound, and post-production processes is an advantage.
• Experience managing project budgets, timelines, resources, and multiple concurrent projects.
• Good command of Thai and working proficiency in English.

Skills:

Japanese

Job type:

Full-time

• preparation and support to the User Acceptance Tests, including analysis and resolution of technical queries.
• Support the transition to In-Service phase, with knowledge transfer to the Support team.
• follow-up on any additional needs raised by the customer.
• In Service support of Crew Planning Newco Digital Solutions.
• Contribute to complex Customer request solving, supporting L1/L2 or L3 teams.
• Manage Customer backlog and perform regular follow-up meetings on outstanding tickets.
• When the need for a stronger engagement is identified and validated by the CX Region Leadership Team, perform an in depth review of Customer situation (Healthcheck), propose a specific engagement plan and execute it with the customer.
• Support on-call rotations to ensure customers continue to receive support.
• Contribute to tasks beneficial to customers in all regions (local for global) as directed by the local managements.
• Act as a bridge between airline customers and internal teams.
• Customer Feedback loop.
• Contribute to consolidation of the Customer Voice for the region. Under the guidance of the Product Support Lead and Customer Success Managers.
• Prioritize all the customers queries, requests and painpoints related to Crew Planning in Asia and provide them to the Product Support Manager.
• Continuous Improvement and Other activities.
• Identify opportunities for process enhancements and implement best practices to increase operational efficiency.
• Support other CX functions, such as marketing for detailed product demos, central support for knowledge base maintenance and training content development.
• Travel: 10-20%.
• Required.
• Degree in Engineering in the fields of Aircraft Design, Aircraft Operations, IT, Computer Science or equivalent experience.
• Required.
• 4 or more years of professional experience in the domain of Airline Crew planning.
• Support experience (Customer interface internal or external).
• Communication Skills: Excellent written and verbal communication skills to convey concise, structured instructions and explanations to both technical and non-technical users (pilots, crew managers, etc).
• Training & Documentation: Ability to conduct customer training and contribute to the development of customer-facing technical documents and knowledge base articles.
• Problem-Solving: Strong, proven ability to solve complex problems and make quick, accurate decisions during disruptions.
• Organization & Management: Multitasking, Attention to Detail, Time Management & Prioritization.
• Attitude: Proactive, self-confident, able to work autonomously, and possessing a continuous improvement mindset to identify process bottlenecks and propose fixes.
• Preferred.
• Technical & SaaS Proficiency: This role sits at the intersection of the product and the user, requiring strong technical acumen to troubleshoot and act as a liaison.
• Software & Application Skills: ability to identify, reproduce, diagnose, and resolve technical problems. This often involves analyzing logs and understanding system workflows.
• System Tools: Proficiency with ticketing/project management software and general business tools.
• Knowledge of databases or web technologies can be highly beneficial.
• Knowledge in Big Data and Artificial Intelligence.
• Industry & Domain Expertise: understand Airline maintenance, engineering and flight operations.
• Aviation Operations Knowledge in Flight Operations and Technical Operations.
• Regulatory Framework: Basic knowledge of relevant Aviation Regulations.
• English fluent written and spoken.
• Japanese fluent written and spoken.
• This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth.
• Airbus Flight Operations Services Limited.
• Permanent-------.
• Professional.
• Digital.
• By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
• Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
• Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected].
• At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Experience:

3 years required

Skills:

Import / Export, English

Job type:

Full-time

Join our global team for a career filled with opportunities to solve challenges both small and large, local and global, simple and complex. Position Purpose: Provide support to the Maritime Logistics Manager to drive business growth, efficiency, and overall profitability. Deliver exceptional service standards to customers to maximize client satisfaction and retention. Proactively identify and capitalize on sales opportunities to increase top-line revenue for the ML division. Maintain high accuracy and timeliness in handling all import/export shipping documentation and operational p ...

Skills:

Project Management, Data Analysis, Teamwork, English

Job type:

Full-time

• Would you like to work in the field with our customers?.
• Join our team of Field Engineers.
• Our LEAD Program for Field Engineers inspires and guides recent graduates through career-shaping experiences. This program takes approximately 36 months to complete and gets you involved in helping clients locate and produce energy more efficiently. Program graduates have the foundations to make innovative significant contributions to our future.
• Take your career to the next level.
• Partner with the best.
• Coordinating with crew members to deploy tools and services, including liaison with customers and shore-based Operations Managers.
• Participating in finding solutions to complex technical problems through hands-on work at the rig site.
• Preparing, documenting, and receiving outbound and inbound equipment and products, including products to and from the well site.
• Providing support for tenders, including data analysis and cost estimates, as well as performing invoicing activities.
• Engaging in job shadowing opportunities to develop a holistic understanding of the business.
• Fuel your passion.
• Have graduated with a Bachelor's degree in Engineering (all fields), Engineering Technology, Mathematics, Chemistry, Geosciences, or similar, within the last 12 months.
• Have achieved a minimum cumulative GPA of 3.00 on a scale of 4.0 (or equivalent).
• Be fluent in written and spoken English, with excellent communication skills.
• Be legally entitled to work within the country in which you are applying without company sponsorship or time restriction.
• Have good interpersonal skills, with an aptitude for teamwork and the ability to guide others.
• Demonstrate good leadership, critical thinking, and numerical skills as well as data analysis and project management abilities.
• Through our emerging talent program, we will provide you with opportunities to grow, flourish, and achieve great things. You will be working in an international organization and will learn and develop with collaborative and inspiring colleagues.
• Mentorship.
• Career development training.
• Visibility to senior leaders.
• Working in highly diverse teams.
• Access to a wide range of career options post program.
• Working with us.
• Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
• Working for you.
• Contemporary work-life balance policies and well-being activities.
• Comprehensive private medical care options.
• Safety net of life insurance and disability programs.
• Tailored financial programs.
• Additional elected or voluntary benefits.
• The Baker Hughes internal title for this role is: FIELD ENG I - FLD.

Experience:

3 years required

Skills:

Product Development, Postgre SQL, Automation, Javascript, Kubernetes

Job type:

Full-time

• Design, develop, and fine-tune Generative AI solutions using leading LLMs such as GPT-4o, Claude (Anthropic), Gemini, and open-source models (LLaMA, Mistral, etc.).
• Build and maintain End-to-End AI Chatbot systems from prompt engineering and LLM integration to deployment and monitoring.
• Develop production-grade RAG (Retrieval-Augmented Generation) Chatbot pipelines integrating vector search, document chunking, embedding models, and LLM inference.
• Implement and manage Vector Storage solutions using FAISS, Qdrant, Weaviate, Pinecone, or similar technologies for semantic search and knowledge retrieval.
• Design and deploy Agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom multi-agent orchestration workflows.
• Integrate AI capabilities with enterprise APIs, databases, and internal platforms via LangChain, LlamaIndex, or equivalent tooling.
• Stay current with rapidly evolving AI/ML tools including Hugging Face, Ollama, vLLM, OpenAI APIs, Vertex AI, AWS Bedrock, and Azure OpenAI Service.
• AI Product Development & MLOps.
• Own the end-to-end AI product lifecycle: requirements gathering, model selection, development, testing, deployment, and continuous improvement.
• Build and manage scalable AI inference pipelines with performance monitoring, logging, and cost optimization.
• Design prompt engineering strategies, evaluation frameworks, and guardrails for safe and reliable LLM outputs.
• Implement CI/CD workflows for AI models using MLflow, DVC, or similar MLOps tools.
• Collaborate with Data Science and Engineering teams to productionize machine learning and AI models.
• Identify opportunities to embed AI capabilities into business workflows, automation, and decision-making processes.
• Data Engineering & Platform (Foundational Awareness).
• Understand the fundamentals of data pipeline concepts (ETL/ELT, batch and streaming) to effectively collaborate with Data Engineering teams.
• Able to read, query, and work with data from common platforms such as Databricks, Snowflake, BigQuery, or PostgreSQL.
• Understand data flow from source systems to data warehouses/lakehouses to inform AI model inputs and outputs.
• Familiar with vector database concepts and embedding pipelines sufficient to configure and use them in AI projects.
• Capable of communicating data requirements clearly to Data Engineers when building AI features or knowledge bases.
• Collaboration & Innovation.
• Partner with product managers, business stakeholders, and engineers to translate business requirements into AI solutions.
• Contribute to and promote best practices for AI development, testing, documentation, and responsible AI usage.
• Mentor junior engineers and share knowledge on emerging AI tools, frameworks, and research.
• Evaluate and adopt new AI/ML technologies and frameworks to keep the team at the forefront of innovation.
• Effectively manage multiple priorities and deliver high-quality solutions independently and as part of a team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, or a related field.
• 3+ years of hands-on experience in AI/ML engineering with a focus on Generative AI and NLP applications.
• Proven experience building Generative AI solutions using GPT-4o, Claude (Anthropic), Gemini, or equivalent LLMs this is a must.
• Hands-on experience with RAG Chatbot development: embedding pipelines, chunking strategies, retrieval tuning, and LLM response generation.
• Proficiency in Vector Storage technologies such as FAISS, Qdrant, Weaviate, Pinecone, or ChromaDB.
• Experience building End-to-End Chatbot systems including intent handling, context management, multi-turn dialogue, and API integration.
• Practical knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI, or similar) for building multi-step, tool-using AI agents.
• Strong Python programming skills Python (required), SQL, JavaScript/TypeScript (a plus).
• Familiarity with popular AI/ML tools and platforms: LangChain, LlamaIndex, Hugging Face, Ollama, vLLM, OpenAI SDK, Vertex AI, AWS Bedrock, or Azure OpenAI.
• Experience with prompt engineering techniques including few-shot prompting, chain-of-thought, structured output, and function calling.
• Ability to evaluate LLM outputs using metrics and frameworks (RAGAS, TruLens, or custom eval pipelines).
• AI Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, Hugging Face Transformers.
• LLM Platforms: OpenAI (GPT-4o), Anthropic Claude, Google Gemini, Meta LLaMA, Mistral.
• Vector Databases: FAISS, Qdrant, Weaviate, Pinecone, ChromaDB.
• Cloud & Data: AWS / GCP / Azure AI services, Databricks, Snowflake, PostgreSQL.
• MLOps: MLflow, DVC, Docker, Kubernetes (a plus).
• Big Data: Apache Spark, Kafka (a plus).
• Experience in Retail or E-Commerce AI applications (e.g., recommendation engines, pricing AI, conversational commerce).
• Familiarity with fine-tuning and PEFT techniques (LoRA, QLoRA) for LLMs.
• Knowledge in machine/statistical learning, computer vision, or time series forecasting.
• Experience with AI safety, hallucination mitigation, and responsible AI practices.
• Contributions to open-source AI projects or published AI research.

Experience:

5 years required

Skills:

Mechanical Engineering, Project Management, Safety Management, Recruitment, BIM

Job type:

Full-time

• Field Supervision - Direct and supervise mechanical crews, contractors, and technicians on-site for HVAC, plumbing, fire protection, and mechanical systems.
• Design Review & Understanding - Interpret mechanical drawings, specifications, and engineering plans to ensure proper installation and compliance with design intent.
• Quality Inspections - Conduct comprehensive on-site inspections of mechanical work including systems testing, commissioning, and performance verification.
• Regulatory Compliance - Ensure all work meets local building codes, mechanical codes, fire codes, and environmental regulations.
• Permit Coordination - Interface with local authorities, building departments, and inspection agencies for permit approvals and regulatory inspections.
• Progress Reporting - Prepare detailed progress reports, inspection reports, and status updates for project management and clients.
• Safety Management - Implement and enforce safety protocols, conduct safety meetings, and ensure OSHA compliance on mechanical work areas.
• Problem Resolution - Identify and resolve mechanical system issues, design conflicts, and installation challenges in real-time.
• Subcontractor Management - Coordinate and oversee mechanical subcontractors, ensuring work quality and schedule adherence.
• Documentation - Maintain accurate records of inspections, tests, warranties, and as-built conditions.
• Commissioning Support - Participate in system startup, testing, and commissioning activities.
• Client Interface - Communicate with building owners, facility managers, and end users regarding mechanical systems operation.
• Experience - Minimum 5+ years mechanical supervision experience in commercial, industrial (Manufacturing/Clean Lab), or institutional projects (DC is a plus point).
• Technical Knowledge - Strong understanding of HVAC, plumbing, fire protection, and mechanical systems design and installation//Commissioning Experience is preferred.
• Regulatory Expertise - Thorough knowledge of local mechanical codes, building codes, and inspection requirements.
• Reporting Skills - Proven ability to prepare clear, detailed reports for various stakeholders.
• Inspection Experience - Experience conducting field inspections and quality control activities.
• Leadership - Demonstrated ability to supervise teams and manage multiple mechanical contractors.
• Mechanical Engineering degree or equivalent technical education.
• Associate Engineer License (at minimum).
• Professional licenses (PE, contractor's license) bonus.
• Experience with BIM/3D modeling coordination.
• Remote -Bangkok, THA.
• If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!.
• At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
• JLL Privacy Notice.
• Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Experience:

2 years required

Skills:

Mechanical Engineering, Project Management, Safety Management, Recruitment, BIM

Job type:

Full-time

• Field Supervision - Direct and supervise mechanical crews, contractors, and technicians on-site for HVAC, plumbing, fire protection, and mechanical systems.
• Design Review & Understanding - Interpret mechanical drawings, specifications, and engineering plans to ensure proper installation and compliance with design intent.
• Quality Inspections - Conduct comprehensive on-site inspections of mechanical work including systems testing, commissioning, and performance verification.
• Regulatory Compliance - Ensure all work meets local building codes, mechanical codes, fire codes, and environmental regulations.
• Permit Coordination - Interface with local authorities, building departments, and inspection agencies for permit approvals and regulatory inspections.
• Progress Reporting - Prepare detailed progress reports, inspection reports, and status updates for project management and clients.
• Safety Management - Implement and enforce safety protocols, conduct safety meetings, and ensure OSHA compliance on mechanical work areas.
• Problem Resolution - Identify and resolve mechanical system issues, design conflicts, and installation challenges in real-time.
• Subcontractor Management - Coordinate and oversee mechanical subcontractors, ensuring work quality and schedule adherence.
• Documentation - Maintain accurate records of inspections, tests, warranties, and as-built conditions.
• Commissioning Support - Participate in system startup, testing, and commissioning activities.
• Client Interface - Communicate with building owners, facility managers, and end users regarding mechanical systems operation.
• Experience.
• Minimum 5+ years mechanical supervision experience in commercial, industrial (Manufacturing/Clean Lab), or institutional projects (DC is a plus point).
• Technical Knowledge.
• Strong understanding of HVAC, plumbing, fire protection, and mechanical systems design and installation//Commissioning Experience is preferred.
• Regulatory Expertise.
• Thorough knowledge of local mechanical codes, building codes, and inspection requirements.
• Reporting Skills.
• Proven ability to prepare clear, detailed reports for various stakeholders.
• Inspection Experience.
• Experience conducting field inspections and quality control activities.
• Leadership.
• Demonstrated ability to supervise teams and manage multiple mechanical contractors.
• Mechanical Engineering degree or equivalent technical education.
• Associate Engineer License (at minimum).
• Professional licenses (PE, contractor's license) bonus.
• Experience with BIM/3D modeling coordination.
• Remote -Bangkok, THA.
• If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!.
• At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
• JLL Privacy Notice.
• Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our.
• Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at.
• [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our.
• Contact Us.
• page > I want to work for JLL.

Experience:

5 years required

Skills:

Problem Solving, Recruitment

Job type:

Full-time

• Collects rent from tenants.
• Maintains rental journal of delinquent and up-to-date payments.
• Delivers renewal letters and eviction notices.
• Maintains parking permits.
• Inspects vacant units and prepares them for rental.
• Completes purchase orders.
• Takes packing and delivery slips to the building manager.
• Responds to tenant requests for repairs and keeps a journal of completed work.
• Keeps building grounds and common areas clean and in safe condition.
• Ensures that garbage and recycled items are placed for pick up at the appropriate times and in the proper manner.
• Maintains fresh paint on interior and exterior of the building.
• Maintains inspection logs for sprinkler systems, fire extinguishers and other building systems as required by state and federal law.
• Conducts regular preventative maintenance on items throughout the interior and exterior of the building.
• Performs regular inspections of all common areas.
• Responds to emergency calls.
• Coordinates with contractors or repair crews for work that is outsourced.
• Keeps noise levels to a minimum.
• Discusses rental violations with tenants with the goal of resolution.
• Participates in interviewing and hiring of maintenance staff.
• Supervises the work of unskilled laborers.
• Purchases all maintenance supplies and keeps adequate inventory.
• Wears the proper safety equipment in the appropriate situations including hard hats, eye and ear protection, safety shoes, gloves, face mask and respirator.
• Required Knowledge, Skills and Abilities.
• Must have strong problem solving skills.
• Has the ability to perform basic repairs in electrical, plumbing and mechanical systems.
• Must have good communication and interpersonal skills.
• Must have superior customer service skills.
• Has good listening and negotiating skills.
• Must be detail oriented and have good scheduling skills.
• Must be proficient at safely using tools associated with the job.
• Has knowledge of building codes and safety standards as set forth by the state and federal governments.
• Must have a valid driver's license.
• Must be able to lift heavy items.
• Must have basic first aid skills.
• Must be able to maneuver in small spaces.
• Must be able to kneel and crouch or climb tall ladders.
• High school diploma.
• Experience working on a construction or maintenance crew.
• Associate's degree in Property Management.
• Must pass criminal background check as well as a drug test in order to be bondable.
• Work Environment.
• Must be able to deal effectively with unruly or unhappy tenants.
• Must be able to work in dirty, hot, cramped and otherwise uncomfortable areas.
• Time will be spent walking all over the property, including up and down stairs.
• Must be willing to work odd hours including nights and weekends.
• On-site -Bangkok, THA.
• If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!.
• At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
• _JLL Privacy Notice_.
• Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Experience:

3 years required

Skills:

Electrical Engineering, Production Engineering, Kubernetes, TensorFlow, Python, Docker

Job type:

Full-time

• Amity, through its AI Research and Application Center, is advancing the frontier of applied AI research across natural language processing, large language models, agentic systems and generative AI. We build intelligent products that serve millions of users and partner organisations across Southeast Asia and Europe. Our research engineers sit at the intersection of scientific inquiry and production engineering discovering new methods, validating them rigorously, and shipping them into real-world products.
• As an AI Research Engineer at Amity.
• AI Research and Application Center.
• you will own ambitious research goals while ensuring that breakthroughs translate into scalable, production-grade systems.
• Identify high-impact research problems, formulate hypotheses, design experiments and advance the state of the art in areas aligned with the lab's mission.
• Publish findings at top-tier conferences and top-tier leaderboard and contribute to the broader AI research community.
• Bridge the gap between research prototypes and production systems, ensuring novel methods are robust, efficient and deployable at scale.
• Shape the lab's research roadmap and propose initiatives that create measurable business and societal value.
• Mentor junior researchers and engineers, fostering a culture of scientific rigour and collaborative innovation.
• Research & Experimentation.
• large language models., NLP, computer vision, reinforcement learning, generative models, agentic AI or multimodal learning.
• Design and run rigorous experiments including ablation studies, benchmark evaluations and statistical analyses to validate new methods and architectures.
• Survey, reproduce and extend state-of-the-art results from recent literature; maintain a reading group culture within the team.
• Develop novel algorithms, model architectures and training strategies that push performance boundaries on real-world tasks.
• Model Development & Optimisation.
• Design, train and fine-tune large-scale deep learning models (LLMs, diffusion models, multi-modal models) using modern frameworks such as PyTorch, TRL, Unsloth or verl. (Reinforcement Learning Experience is plus).
• Optimise model performance through techniques such as knowledge distillation, quantisation, pruning, mixed-precision training and efficient attention mechanisms.
• Build and improve training infrastructure for distributed, large-scale model training across GPU/TPU clusters.
• Develop evaluation frameworks and metrics to systematically measure model quality, safety and robustness.
• Applied Research & Productionisation.
• Translate research outcomes into production-ready features building proof-of-concepts (PoCs), prototypes and scalable AI services.
• Design and operate RAG pipelines (ingestion, chunking, embeddings, hybrid search, re-rankers) with vector databases (pgvector, Pinecone, Weaviate, OpenSearch) to support retrieval-augmented applications.
• Architect and ship LLM-powered agents and chatbots using agentic patterns (tool/function calling, planning, memory, multi-agent orchestration) with robust safety and fallback mechanisms.
• Collaborate with product and engineering teams to integrate AI capabilities into customer-facing platforms via APIs and microservices.
• Data & Infrastructure.
• Curate, clean and build high-quality datasets for pre-training, fine-tuning and evaluation; design data pipelines for continuous data collection and annotation.
• Implement and maintain scalable ML infrastructure using Docker, Kubernetes, CI/CD and experiment-tracking tools (MLflow, Weights & Biases, or similar).
• Monitor deployed models, design automated retraining pipelines and ensure ongoing model quality through observability and alerting.
• Knowledge Sharing & Community.
• Author technical papers, internal reports and blog posts that communicate research findings to both technical and non-technical audiences.
• Present research at internal seminars, external conferences and community meetups.
• Contribute to open-source projects and public benchmarks to enhance Amity's visibility in the research community.
• Required.
• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering or a related quantitative field.
• 3+ years of hands-on experience in AI/ML research or research engineering, with demonstrated ability to design experiments, analyse results and iterate on methods.
• At least one first-author or co-author publication at a recognised venue (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, AAAI, or equivalent), or equivalent demonstrated research output (patents, technical reports, significant open-source contributions).
• Strong proficiency with Python and modern deep learning frameworks (PyTorch, JAX, or TensorFlow); solid understanding of model architectures (Transformers, diffusion models, GNNs) and training techniques (RLHF, DPO, SFT, pre-training).
• Ability to write clean, maintainable, production-quality code; familiarity with software engineering best practices (version control, code review, testing, CI/CD).
• Strong grounding in linear algebra, probability, statistics, optimisation and information theory.
• Experience designing agentic architectures (tool/function calling, planning, memory, multi-agent orchestration via frameworks such as LangChain, LlamaIndex, AutoGen or CrewAI).
• Hands-on experience with retrieval-augmented generation pipelines, embedding models, hybrid search and vector databases.
• Experience with large-scale distributed training across multi-GPU/TPU environments (DeepSpeed, FSDP, Megatron-LM or similar).
• Working knowledge of cloud platforms (AWS, GCP or Azure) and ML operations tooling (MLflow, W&B, Kubeflow).
• Active contributions to well-known AI/ML open-source projects or libraries.
• Excellent written and verbal communication skills; ability to distill complex research into clear recommendations for diverse stakeholders.
• At Amity Solutions, we are dedicated to creating a dynamic and supportive work environment that prioritizes growth, learning, and inclusivity. As an equal opportunity employer, we welcome applicants from all backgrounds, embracing diversity in ethnicity, gender, disability, religion, belief, sexual orientation, and age. Join our Bangkok team to enjoy a wide range of benefits as we innovate and grow together.
• Discover more about our team values, benefits, and career opportunities at Amity Solutions Bangkok on our.
• official website.