เงื่อนไขการค้นหา

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Project Management, Architecture, English

ประเภทงาน:

งานประจำ

• Receive project brief from Project Manager and understand project requirements, certification targets, project schedule, budget, and stakeholder responsibilities.
• Coordinate with the global sustainability team to establish certification strategy, work plans, deliverables, and submission schedules.
• Act as the primary local point of contact for sustainability certification matters (e.g. LEED, TREES, Green Mark) throughout the project lifecycle, from design development through construction completion.
• Facilitate coordination between client, design consultants, contractors, commissioning agents, and sustainability specialists to support certification requirements.
• Track achievable credits, submission status, action items, and projects risks to ensure certification milestones are achieved.
• Collect, review, and organize supporting documentation from project stakeholders for certification submissions.
• Coordinate preparation and submission of documentation through certification platforms.
• Review and respond to comments, requests for clarification, and technical queries from certification reviewers in coordination with the global sustainability team.
• Prepare project sustainability reports, certification scorecards, meeting minutes, and progress updates.
• Identify potential certification risks and proactively escalate issues requiring technical input from the global sustainability team.
• We know today's complex challenges can only be solved through bringing together diverse teams of people from across our business, so there will be opportunities for you to apply your skills and creativity to projects in other geographies and markets.
• What can you bring to the team?.
• Bachelor's degree in Engineering, Architecture, Environmental Science, Sustainability, Building Services, or other related disciplines.
• 4-5 years of experience in building design, project coordination, sustainability consulting, or construction project management.
• Experienced in sustainability rating systems (e.g. LEED, TREES, Green Mark) certification projects preferred.
• Experienced in mission critical facilities or data center projects would be advantageous.
• Experienced in coordinating multidisciplinary consultants and contractors.
• LEED AP accredited is preferred but not mandatory.
• Familiarity with sustainable design principles, energy efficiency, water efficiency, commissioning, and construction documentation.
• Understanding of design and construction project workflows.
• Ability to interpret technical drawings, specifications, and consultant deliverables.
• Strong project coordination and stakeholder management skills.
• Ability to communicate effectively with clients, consultants, contractors, and certification reviewers.
• Ability to identify issues, ask the right technical questions, and coordinate resolution with subject matter experts.
• Strong presentation and report-writing skills.
• Good English communication skills, both written and spoken.
• Our Aurecon Attributes define our way of being - they are a collection of qualities that makes us who we are. Individually and collectively, they unleash the true power of Aurecon, they make us stand out from the crowd and are critical to our success. We don't expect you to have all eight of the attributes, but one that is unique to you. To find out what your key attribute is, take the test here.
• Finally, we value that each of our team members brings something different to Aurecon. We look for people who have had a broad range of experiences throughout their career and can demonstrate how they have worked as part of a team to bring ideas to life. Does that sound like you?.
• About Us.
• Headquartered in Australia, Aurecon is one of the leading international engineering, design and advisory company that brings vital engineering experience, technical capabilities, and design expertise to an extensive range of markets.
• Over the last 85 years, our team of more than 5,000 experts located in 11 locations across the globe have collaborated with our clients and partners to reimagine, shape and engineer clever, innovative and sustainable solutions to solve some of the world's most complex challenges.
• In Asia, where the region is undergoing rapid transformation in areas of sustainability, digital and infrastructure, we lead by being innovative, flexible and nimble. We embrace design-led thinking - an approach that is guided by digital engineering, the user experience and sustainability - ensuring that the work we do is future ready and leaves a legacy for the next generation.
• Think engineering. Think again.
• Want to know more?.
• You can learn more about what it's like to work at Aurecon by visiting the careers section of our website.
• If you are intrigued or excited by what you have read, then we want to hear from you. Apply now!.

ทักษะ:

Leadership Skill

ประเภทงาน:

งานประจำ

• Provides expert EHS guidance to ensure all company operations comply with both global and local EHS standards.
• Develops and executes the SMO Thailand EHS roadmap aligned with business strategy and Corporate / Business EHS directions, including regular monitoring and continuous improvement.
• Leads and advises the SMO Thailand organization in planning, implementing, analyzing, and enhancing EHS-related initiatives.
• Works closely with the SMO Thailand CEO, management team, support functions, and relevant global interfaces to achieve EHS policy goals.
• Ensures effective EHS communication with internal and external stakeholders, including regulatory authorities.
• Establishes and maintains a competency and training framework for EHS-related skills.
• Plans, executes, and follows up on EHS audits, assessments, and inspections, including certification audits when applicable.
• Manages the Safety and Environmental Management System in accordance with ISO 14001 and ISO 45001 requirements. Use your skills to move the world forward.
• Bachelor's degree or higher in a technical discipline and/or an EHS related field.
• Professional experience with a proven track record of successfully performing key EHS responsibilities.
• Management experience, including team leadership, intercultural exposure, and project management responsibilities.
• Strong communication and leadership capabilities, with the ability to adapt messaging effectively to different audiences and situations.
• Demonstrated ability to influence stakeholders at all organizational levels and lead the EHS function for SMO Thailand.
• Proficiency in English (written and spoken); Thai language skills are an added advantage. Why you'll love working for Siemens Mobility.
• We live and foster an ownership culture in which every employee takes personal responsibility for our Company's success. We invest in our team members, offering a wide variety of development opportunities.
• Flexible working arrangements.
• Flexible Benefits Program for employees & dependents.
• Medical Insurance for Spouse and Children.
• Annual leave starting at 10 days.
• Siemens Share Options.
• National & International opportunities.
• Positive, inclusive and relaxed working environment Join a team dedicated to transforming the everyday for a more sustainable future.
• Siemens prides itself on its diverse workforce.
• Siemens has been recognised as ahead of its time for many reasons, and our progressive policies is one of them. We encourage applications that reflect the diversity of the communities within which we work.
• We are a proud equal opportunity employer, where we continue to push for a work environment of diversity and inclusion, we also believe that differences in personalities, thoughts and ideas are important, and that is why we know diversity and inclusion is very important in helping realise the potential of our people. As part of our Ownership culture, Siemens supports reasonable flexible working practices that empower our employees to best meet work and personal commitments.

ทักษะ:

Problem Solving, Leadership Skill, English

ประเภทงาน:

งานประจำ

• Develop and implement EHS plans aligned with Siemens Mobility, Refurbishment Project including client requirements.
• Coordinate EHS activities and ensure staff compliance with relevant regulations.
• Maintain, control, advise staff to follow safety rules and regulations and supervises for implementation.
• Identify and analyze unsafe conditions/acts through daily safety walk, monthly safety inspection and advise, determine and follow up corrective preventive actions as required.
• Identify and review hazard identification and risk assessment with working team.
• Handles cases of EHS incidents, accidents or occupational disease including investigation with relevant stakeholders.
• Organize and lead all activities as per EHS activities plan including safety training.
• Be Key instructor relating to safety training e.g 5S, General safety, Chemical Handling processes.
• Meeting/Correspondence with the client and government in terms of safety and occupational health.
• Reporting safety system performance to Management and submitting safety documents to government according to safety regulatory requirements.
• Review Siemens and customer safety related documents and feedback if required.
• Set and arrange environmental monitoring and measurement in workplace. Use your skills to move the world forward.
• Bachelor's degree in Occupational Health and Safety or a related discipline, along with certification as a professional-level Safety.
• Professional relevant experience, ideally in construction, manufacturing, or railway project environments.
• Strong understanding of environmental health and safety regulations and industry standards.
• Excellent communication, organizational, root cause analysis, problem solving and leadership skills.
• Proven ability to assess risks and implement effective safety solutions.
• Flexibility to work night shifts as required during the construction phase.
• Proficient in English, with the ability to manage documentation and collaborate in a multicultural setting. Why you'll love working for Siemens Mobility.
• We live and foster an ownership culture in which every employee takes personal responsibility for our Company's success. We invest in our team members, offering a wide variety of development opportunities.
• Flexible Benefits Program for employees & dependents.
• Medical Insurance for Spouse and Children.
• Siemens Share Options.
• National & International opportunities.
• Positive, inclusive and relaxed working environment Join a team dedicated to transforming the everyday for a more sustainable future.
• Siemens prides itself on its diverse workforce.
• Siemens has been recognized as ahead of its time for many reasons, and our progressive policies is one of them. We encourage applications that reflect the diversity of the communities within which we work.
• We are a proud equal opportunity employer, where we continue to push for a work environment of diversity and inclusion, we also believe that differences in personalities, thoughts and ideas are important, and that is why we know diversity and inclusion is very important in helping realize the potential of our people. As part of our Ownership culture, Siemens supports reasonable flexible working practices that empower our employees to best meet work and personal commitments.

ทักษะ:

Leadership Skill, English

ประเภทงาน:

งานประจำ

• Key.
• conducting site inspections, investigating incidents, ensuring compliance with EHS regulations, and providing expert guidance to project teams. The.
• will include but not limited to: EHS Supervisor - Construction Site Based Conduct regular site inspections to monitor ongoing operations and ensure full compliance with health, safety, and environmental (HSE) standards. Investigate incidents and complaints to identify potential breaches of EHS regulations and recommend corrective acti ...

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Project Management, Procurement

ประเภทงาน:

งานประจำ

• Support the implementation of Wood's environmental strategy and HSSE policy obligations.
• Assist with technical support in the management of environmental risk and opportunities across project site.
• Provide technical and practical support service to ensure that project site maintain environmental licence to operate and environmental credentials to support clients in all jurisdictions in which they operate.
• Responsible for facilitating the implementation of Wood's environmental standards across the project site.
• Collaborate and support project stie to achieve the highest standards of environmental stewardship, building an exemplary environmental reputation for Wood in the eyes of key stakeholders.
• The post holder will be an enthusiastic environmental professional with experience of site-based environmental management in the project site environment.
• The person will be technically proficient in environmental management standards and/or a specialist environmental discipline (e.g. contaminated land).
• Provide technical support to facilitate the environmental plan to ensure that environmental aspects are appropriately managed and that Wood's HSSE policy obligations are enacted.
• Assist in the identification of, understand and communicate the legal, industrial and contractual environmental obligations placed on Wood.
• Assist in the development and provision of training on key environmental risks to facilitate greater environmental awareness across the project site.
• Work with assurance teams in developing and undertaking environmental inspections and audits where required.
• Provide the project site with technical environmental services on a broad range of environmental management issues e.g. contaminated land, investigations, client engagement.
• Provision of technical environmental advice and support to management to ensure that environmental obligations are effectively supported.
• Assist in the investigation of environmental incidents and subsequent monitoring to ensure any trends are identified and mitigated effectively.
• Liaise with the line manager and legal teams to manage environmental regulatory issues and/or investigations.
• Facilitate the implementation of environmental key performance indicators and monitor trends, issues, alerts etc., communicating to Wood's management and central support teams.
• Support the project site to maintain environmental licences, certifications and memberships, if applicable.
• First and higher degree in an environmental-related discipline (desirable).
• Minimum of 7 years of experience in process engineering design within the petrochemical, refinery, and oil & gas sectors.
• Professional membership in an environmental body (desirable).
• Good understanding of EIA, HIA, and sustainability.
• Strong skills in coordinating with internal and external stakeholders.
• Excellent communication and leadership skills.
• Positive relationship attitude and team-working abilities.
• Proactive and motivated.
• Practical environmental monitoring skills (noise, vibration, air etc.).
• Authoring environmental management processes & procedures.
• Excellent technical writing skills.
• Collating and interpreting environmental performance data.
• Understanding of Environmental law and governance.
• On-site practical knowledge and experience.
• Undertaking environmental awareness training.
• Environmental inspection and auditing.
• Excellent communication & literacy skills.
• Proficient in all aspects of MS Office.

ทักษะ:

Compliance

ประเภทงาน:

ฝึกงาน

• Construction Safety - Installation: Monitor installation/construction activities for hazards, permit compliance, and safe work practices.
• Building Safety Inspection: Conduct building inspections, log findings in the system, and follow up corrective actions.
• Workplace Safety & Environment: Check work areas for safety/environmental risks and support awareness activities.
• HSSE Project Support: Assist with HSSE improvement projects, KPI reporting, and procedure/document updates.
• Contractor Safety Control: Support contractor induction, monitor on-site compliance, and track non-conformances.
• Chemical Management: Maintain chemical inventory/SDS and verify proper labeling, segregation, and storage.
• Your profileQualifications and skills to help you succeed.
• Education: Currently pursuing a Bachelor's Degree in Occupational Health and Safety (3rd or 4th year).
• WeAreIn for driving decarbonization and digitalization.As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.Are you in?We are on a journey to create the best Infineon for everyone.
• We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
• Our hiring decisions are based on skills and experience. Even if you don't meet every requirement, we encourage you to apply.
• Please let your recruiter know if you need any accommodations during the interview process.
• Learn more about our various contact channels and about Diversity & Inclusion at Infineon.
• Hillary Woo.

ทักษะ:

Data Analysis, Python

ประเภทงาน:

งานประจำ

• Build and maintain datasets optimized for analytics and modeling.
• Collaborate closely with Data Engineers for data preparation and with Engineer teams for model deployment and monitoring.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience developing machine learning or statistical models for business problems.
• Strong programming skills in Python or similar languages for data analysis and modeling.
• Experience with data analysis, feature engineering, and model evaluation.
• Familiarity with ML frameworks and data visualization tools.
• Understanding of model deployment and monitoring concepts.

ทักษะ:

Data Warehousing, Risk Management, Data Analysis, TensorFlow, Big Data

ประเภทงาน:

งานประจำ

• Design, develop and deploy advanced machine learning and artificial intelligence models focused on financial risk analytics, credit risk assessment, market risk analysis and fraud detection.
• Lead the end-to-end data science lifecycle, from problem definition and data exploration through model validation, implementation and ongoing performance monitoring.
• Mentor and supervise junior data scientists and analytical staff, fostering a culture of excellence, continuous learning and collaborative problem-solving within the te ...
• Conduct comprehensive exploratory data analysis on large-scale financial datasets to identify patterns, anomalies and opportunities for predictive modelling.
• Develop robust statistical models and econometric frameworks to quantify and forecast financial risks across various asset classes and business segments.
• Create clear and compelling data visualisations and reports that translate complex analytical findings into actionable business recommendations for senior management and risk committees.
• Collaborate closely with risk management, compliance, trading and operations teams to understand business requirements and ensure analytical solutions align with strategic objectives.
• Establish and maintain rigorous model governance frameworks, including validation protocols, backtesting procedures and documentation standards to ensure regulatory compliance.
• Stay abreast of emerging trends, methodologies and technologies in financial AI, machine learning and risk analytics, and evaluate their applicability to our business.
• Optimise data pipelines and analytical infrastructure to enhance processing efficiency, scalability and data quality across analytical systems.
• What we're looking for.
• Master's degree or higher in Data Science, Machine Learning, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
• Minimum 7-10 years of professional experience in data science, machine learning engineering or advanced analytics, with at least 4-5 years specifically focused on financial services, risk analytics or quantitative finance.
• Demonstrated expertise in building and deploying machine learning models in production environments, with proficiency in supervised learning, unsupervised learning, ensemble methods and deep learning techniques.
• Strong proficiency in programming languages such as Python, R or Scala, with experience in relevant libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Solid understanding of financial concepts including credit risk, market risk, operational risk, counterparty risk, regulatory capital requirements and risk measurement methodologies.
• Experience with big data technologies and distributed computing frameworks such as Apache Spark, Hadoop or cloud-based analytics platforms (AWS, GCP, Azure).
• Proven track record of leading analytical projects, mentoring junior staff and driving cross-functional collaboration in a complex organisational environment.
• Strong statistical knowledge including hypothesis testing, causal inference, time series analysis and experimental design.
• Experience with financial data sources, APIs and market data platforms; familiarity with data warehousing and ETL processes is advantageous.
• Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Knowledge of financial regulations such as Basel III, IFRS 9, Dodd-Frank or equivalent regional frameworks is highly desirable.
• Certification in machine learning, data science or related disciplines is a plus.

ประเภทงาน:

งานประจำ

• Terms of employment / engagement shall be subject to contract and local applicable laws.
• About Binance Accelerator Program.
• Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds' leading blockchain ecosystem. Alongside your job, ...
• Who may apply.
• Current university students and recent graduates.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

English, Thai

ประเภทงาน:

งานประจำ

• Collaborate closely with engineering teams to design and deploy end-to-end LLM applications that drive measurable business impact.
• Implement scalable LLMOps workflows to streamline model training, deployment, monitoring, and ongoing optimization in production.
• Evaluate, test, and benchmark frontier and open-source LLMs to identify high-value applications across our product ecosystem.
• Adapt and fine-tune pre-trained models using domain-specific datasets and modern optimization techniques.
• Establish robust evaluation frameworks, testing harnesses, and monitoring infrastructure to ensure AI models optimize for accuracy, latency, safety, and cost efficiency.
• Stay at the forefront of AI research, continuously evaluating emerging tools, architectures, and methodologies to enhance engineering practices.
• Bachelor's, Master's, or Ph.D. in Computer Science, Data Analytics, Statistics, or a related quantitative field.
• 2-5 years of experience in data science, machine learning, or applied research.
• Solid foundation in statistics, probability, machine learning algorithms, and large language models (LLMs).
• Hands-on experience with some modern AI tooling and frameworks (e.g., vLLM, LangChain, or similar execution engines).
• Strong problem-solving skills, strong sense of ownership, and a passion for translating experimental research into production-grade systems.
• Excellent communication skills with both technical and non-technical stakeholders, with a proven ability to build and foster collaborative relationships.
• Ability to thrive in a dynamic, fast-paced environment and apply disciplined risk control to deliver high standards under constraints.
• Fluency in both English and Thai.
• It'd be Great if you have: (if any).
• Demonstrated experience deploying and optimizing LLM serving architectures for high-concurrency, low-latency production applications.
• Extensive hands-on experience training, post-training, fine-tuning (e.g., LoRA, QLoRA), and aligning (e.g., RLHF, DPO) large language or multimodal models.
• Familiarity with modern Retrieval-Augmented Generation (RAG) frameworks, vector databases (e.g., Pinecone, Milvus, Qdrant), and advanced retrieval techniques.
• Experience building agentic workflows, function calling pipelines, or multi-agent orchestration systems.
• Proven track record of publishing research papers at top-tier AI/ML conferences or journals.

ทักษะ:

Data Analysis, Architecture, Python, Cloud Computing, SQL

ประเภทงาน:

งานประจำ

• Support workshops to understand business goals, constraints, and data landscapes; translate them into prioritized AI use cases and a phased delivery plan (PoC.
• MVP.
• Production).
• Support the design of solution architecture, effort estimation, and clearly articulate technical and business value during proposal development.
• Collaborate with cross-functional teams to understand business challenges and translate them into actionable analytical solutions.
• Implement, and deploy machine learning models across various domains, covering both Traditional and Generative AI use cases.
• Rapidly prototype and validate ML/GenAI solutions (e.g., classification, forecasting, NLP, RAG, summarization, document intelligence, agentic workflow).
• Develop robust, maintainable, and production-ready machine learning workflows, with a focus on MLOps practices.
• Bachelor's degree in STEM fields (e.g., Engineering, Computer Science, Statistics, Mathematics, Economics, or related disciplines).
• Hands-on experience delivering ML/AI solutions; consulting/client-facing experience preferred.
• Proven hands-on experience with Python and SQL for data analysis and model development; familiarity with cloud platforms for scalable analytics solutions.
• Practical experience across the AI/ML lifecycle: data preparation, modeling, evaluation, deployment, and monitoring.
• Ability to translate complex analytical insights into clear, actionable business recommendations for diverse stakeholders.
• Good to have certifications.
• AI / Data Science Specific e.g., Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate.
• Cloud & Data Platforms e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist Associate.

ประเภทงาน:

ฝึกงาน

• Terms of employment / engagement shall be subject to contract and local applicable laws.
• About the Role.

ทักษะ:

Python, Java, C++

ประเภทงาน:

งานประจำ

• Reasoning and planning for foundation models: Enhance reasoning and planning throughout the entire development process, including data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning, to improve overall performance.
• Synthesize large-scale, high-quality data using methods such as rewriting, augmentation, and generation to improve the capabilities of foundation models in various stages (pretraining, SFT, RL).
• Solve complex tasks using system 2 thinking and leverage advanced decoding strategie ...
• Investigate and implement robust evaluation methodologies to assess model performance at various stages.
• Teach foundation models to use tools, interact with APIs, and code interpreters. Build agents and multi-agent systems to solve complex tasks.
• Proficiency in research experience with RL, LLM, and familiarity with large-scale model training is preferred.
• Proficiency in data structures and fundamental algorithm skills, and fluency in Python or C++/Java.
• Experience with influential projects or papers in RL, NLP, or Deep Learning is preferred.
• Excellent problem analysis and problem-solving skills, capable of deeply addressing challenges in large-scale model training and application.
• Good communication and collaboration skills, with the ability to explore new technologies with the team and promote technological progress.
• n.
• Why Binance.
• Shape the future with the world's leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle unique, fast-paced projects with autonomy in an innovative environment.
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).
• Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
• By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

TensorFlow

ประเภทงาน:

งานประจำ

• Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
• Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
• Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
• Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
• Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.
• MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
• Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
• Experience in large-scale application development, preferably in content-related user-facing applications.
• Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
• Publication record at top-tier conferences or journals is a plus.
• n.
• Working at Binance.
• Be a part of the world's leading blockchain ecosystem that continues to grow and offers excellent career development opportunities.
• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless.
• Tackle fast-paced, challenging and unique projects.
• Work in a truly global organization, with international teams and a flat organizational structure.
• Competitive salary and benefits.
• Flexible working hours, remote-first, and casual work attire.
• Learn more about how Binancians embody the organization's core values, creating a unified culture that enables collaboration, excellence, and growth.
• Apply today to be a part of the Web3 revolution!.
• Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
• By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
• Why Binance.
• Shape the future with the world's leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle unique, fast-paced projects with autonomy in an innovative environment.
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).
• Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
• By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

ประเภทงาน:

ฝึกงาน

Terms of employment / engagement shall be subject to contract and local applicable laws.

ทักษะ:

Data Analysis, Recruitment, TensorFlow, Assurance, Python

ประเภทงาน:

ฝึกงาน

• Explore, clean, and analyze data to understand business problems and identify useful patterns.
• Build, train, and evaluate machine learning or deep learning models for real-world use cases.
• Experiment with approaches such as LLMs and agentic AI, time series forecasting, or computer vision, depending on the project.
• Compare model results, document your experiments, and share findings and recommendations with the team.
• Collaborate with data scientists and other team members to develop practical AI solutions.
• Currently studying a Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
• A good foundation in Python, data analysis, and machine learning concepts.
• Hands-on experience from coursework, personal projects, research, or competitions in LLMs and agentic AI, time series forecasting, computer vision, or training machine learning and deep learning models.
• Familiar with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow.
• Good communication and interpersonal skills and can work effectively with team members.
• This is your chance to build your career in a growing data-driven and AI industry.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice.

ทักษะ:

Recruitment, Leadership Skill, YouTube, Python, SQL

ประเภทงาน:

งานประจำ

• Identify and solve high-leverage problems across Agoda.
• Translate ambiguous problems into measurable objectives and technical solutions.
• Lead the design and deployment of ML, AI, and analytical solutions.
• Own solutions from problem definition and experimentation through production deployment, measurement, and iteration.
• Partner with cross-functional leaders to shape strategy and roadmaps.
• Provide technical leadership and mentorship across the data-science community.
• What You'll Need.
• Extensive hands-on experience in data science, machine learning, and statistics.
• Experience delivering production models with measurable customer or business impact.
• Strong Python and SQL skills; experience with large-scale data and ML platforms.
• Ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.
• Nice to Have.
• Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization.
• Experience with production LLM or generative-AI systems.
• Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Project Management, Product Design, Enthusiastic, Recruitment

ประเภทงาน:

งานประจำ

• Experience with any purchase /receipt capture methodologies and experience FMCG market will be a fantastic addition.
• Strong stakeholder management and project management skills together with agile, solution-oriented ways of working and a high interest in decision making to bring our product forward are driving you.
• Within the PDE group, the profound coding experience and technical skills combined with a flexible and innovative mindset are essential skills.
• Education & Experience.
• University degree in Statistics, Mathematics, Socio-economics, or a related field.
• Minimum of 1-2 years of experience in FMCG, Retail, Consumer Research, or a related industry.
• Familiarity with the APAC market, ideally located near our Bangkok office.
• Skills & Knowledge.
• Master's degree Graduated.
• Strong understanding of consumer behavior, and interest in any purchase/receipt collection methodologies.
• Candidates with Panel consumer experience are welcome.
• Proficiency in statistical analysis and handling large data sets.
• Working knowledge of Python (required) and R (optional).
• Ability to extract, clean, and analyze data; strong visualization and root cause analysis capabilities.
• Experience with SQL and large-scale databases.
• Proficient English skills for cross-country collaboration and stakeholder engagement.
• Effective project management and time management skills.
• Ability to extract, clean, and analyze data; strong visualization and root cause analysis capabilities.
• Comfortable working in agile environments and using agile tools.
• Skilled at navigating complex challenges and maintaining collaborative, solution-driven communication.
• Your Personal Qualities.
• Reliable and results-driven with a strong "Say-Do" ratio.
• Open communicator with a collaborative and positive approach.
• Adaptable, proactive, and enthusiastic about working in a global, dynamic team.
• If you're passionate about data, consumer insight, and continuous product improvement - and enjoy collaborating across cultures and disciplines - we'd love to hear from you.
• We are a global, diverse team that is passionate about bringing world-class solutions alive and engaging with different end2end business branches to bring the complete consumer journey to our clients. Client satisfaction and highest quality standards in the markets across the world are our core drivers and main focus areas.
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/.
• About NIQ.
• NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - delivered with advanced analytics through state-of-the-art platforms - NIQ delivers the Full View . NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion.

ทักษะ:

GMP

ประเภทงาน:

งานประจำ

• ทวนสอบขั้นตอนวิกฤติในกระบวนการผลิต เช่น จุดควบคุมสำคัญ ลำดับการเติมวัตถุดิบ เวลา อุณหภูมิ ความเร็ว หรือเงื่อนไขอื่นตามที่กำหนด พร้อมติดตามให้พนักงานปฏิบัติตามขั้นตอนอย่างถูกต้อง.
• ประสานงานระหว่างหัวหน้างานและพนักงานฝ่ายผลิต เพื่อสื่อสารแผนงาน ข้อกำหนด ขั้นตอนการทำงาน ปัญหาหน้างาน และการแก้ไขปัญหาให้เกิดความเข้าใจตรงกันและดำเนินงานได้อย่างต่อเนื่อง.
• สอนงานและแนะนำพนักงานฝ่ายผลิตที่เข้ามาใหม่เกี่ยวกับขั้นตอนการผลิต การใช้งานเอกสาร กา ...
• ทบทวนบันทึกขั้นตอนการผลิตให้ครบถ้วน ถูกต้อง อ่านได้ชัดเจน และสอดคล้องกับการปฏิบัติงานจริง รวมถึงตรวจสอบการลงชื่อ วันที่ เวลา และข้อมูลที่จำเป็นตามข้อกำหนดของเอกสาร.
• ทบทวนบันทึกผลการผลิตและข้อมูลที่เกี่ยวข้อง เพื่อยืนยันว่าผลการดำเนินงานเป็นไปตามเกณฑ์ที่กำหนด รวมถึงตรวจสอบความสอดคล้องของข้อมูลระหว่างเอกสารและกระบวนการผลิต.
• ตรวจติดตามความพร้อมของพื้นที่ เครื่องมือ อุปกรณ์ และเอกสารที่จำเป็นก่อนเริ่มกระบวนการผลิต พร้อมแจ้งหัวหน้างานเมื่อพบความผิดปกติหรือสิ่งที่อาจส่งผลกระทบต่อคุณภาพและความปลอดภัย.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไปในสาขาวิทยาศาสตร์ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ปฏิบัติงานในไลน์ผลิต ไม่น้อยกว่า 2 ปี.
• สามารถอ่าน ทำความเข้าใจ และปฏิบัติตามเอกสารวิธีปฏิบัติงานมาตรฐาน ใบสั่งผลิต และเอกสารควบคุมที่เกี่ยวข้องได้.
• มีความละเอียดรอบคอบ มีความรับผิดชอบ และมีจิตสำนึกด้านคุณภาพ เนื่องจากตำแหน่งนี้ต้องตรวจสอบข้อมูลและขั้นตอนที่มีผลต่อกระบวนการผลิตโดยตรง.
• มีทักษะการประสานงาน การสื่อสาร และการถ่ายทอดความรู้ให้แก่พนักงานในไลน์ผลิต.
• สามารถทำงานเป็นกะหรือทำงานล่วงเวลาได้ตามความจำเป็นของแผนการผลิต.
• หากมีประสบการณ์ด้านระบบคุณภาพ การตรวจสอบเอกสาร การสอบสวนความเบี่ยงเบน หรือการฝึกอบรมพนักงาน จะได้รับการพิจารณาเป็นพิเศษ.
• บริษัทเราอยู่ระหว่างก่อสร้างโรงงานยาแผนปัจจุปันเพื่อผลิตยากลุ่ม Hormone และต้องการเภสัชยุคบุกเบิกที่จะ "ล่มหัวจมท้าย" ไปกับบริษัทในลักษณะลูกหม้อ เพื่อร่วมกันสร้างโรงงานที่มีจุดเด่นทางธุรกิจ เป็นหน้าเป็นตาทางมาตรฐาน แต่ยังคงอยู่กับความเป็นจริงว่า "นกน้อยทำรังแต่พอตัว" เพราะเป็นโรงงานแรก แผนที่วางไว้มีความแน่นอนว่ามันจะไม่เป็นไปตามนั้นทุกอย่าง เมื่อมีเป้าหมายเป็นธรรมดาย่อมมีปัญหา และเราต้องการคนที่พร้อมที่จะทุ่มเทในการแก้ปัญหา "เพื่อ" ให้ไปถึงเป้าหมาย.
• เป็นคนมีความจริงใจ จริงจังกับการทำงาน ไม่เห็นแก่ตัว และไม่ใช่คนที่มี mindset การทำงานเป็นแบบ Officer แต่เป็นคนที่มี Entrepreneur mindset เข้าใจข้อจำกัดทางธุรกิจ ข้อจำกัดทางด้านเภสัชวิทยา ข้อจำกัดทางด้านกฏหมาย และ หาเส้นทางที่ไปถึงเป้าหมายได้ (ไม่ใช่ถูกที่สุด ไม่ใช่เป๊ะที่สุด).
• ผม (เจ้าของ) เชื่อว่าทุกคนมีฝันว่าวันนึงอยากจะทำธุรกิจเป็นของตัวเอง แต่ก็กลัวความเสี่ยง แต่ทำงานประจำไปตลอดก็ไม่สามารถเป็นอิสระทางการเงินได้ ถ้าคุณคือคนที่มีความทุ่มเทให้กับโรงงานนี้ มีความจริงใจ เป็นคนแกร่งที่ทานทนต่ออุปสรรค แรงกดดัน และความไม่สมหวังได้ เมื่อโครงการสำเร็จนอกจากเงินเดือนและ Bonus ทางบริษัทจะแบ่งหุ้นในโรงงานให้และท่านจะสามารถได้รับปันผลเติบโตไปพร้อมกับบริษัท.
• บุคลิกของคนที่ต้องการ.
• เป็นคนหนักแน่น ไม่โลเล เมื่อตัดสินใจมาทำงานที่นี่แล้วก็ลบ Resume ตัวเองจากสารบบ พร้อมทุ่มให้กับงานอย่างเต็มที่.
• เป็นคนฉลาด ที่อารมณ์ดี.
• เป็นคนที่สื่อสารทันที เมื่อสงสัยหรือมีคำถาม.
• มองภาพว่าตัวเองจะอยู่ที่นี่อย่างน้อย 5ปี.
• Culture การทำงานในบริษัท.
• ใจๆแมนๆ ไม่fake.
• กล้าตัดใจเมื่อต้องประหาร ใบเตือนต้องใช้เมื่อจำเป็น จอมยุทธ์ยามจำเป็นต้องกล้าชักกระบี่ (ออกใบเตือนลูกน้อง ดีกว่ายิ้มต่อหน้า พูดว่าไม่เป็นไร แต่ไปนินทาลูกน้องลับหลัง อันนั้นคือหัวหน้าที่ชี้ขลาด).
• ไม่ยกตนข่มท่าน เจอคนอ่อนโยน เรายิ่งต้องอ่อนกว่า แต่กับคนไม่ดี ยอมหักไม่ยอมงอ.
• คุยกันด้วยเหตุผลและตัวเลข แต่ห้ามมองคนเป็นตัวเลข คนมีหัวใจ ความรู้สึก ความผูกพัน ที่ทุกวันนี้ยังไม่มีใครคำนวณได้.
• ยอมลาออกไปตายดาบหน้า ดีกว่าอยู่ในองค์กรที่มีพลังงานเฉื่อย (เช่น นั่งนับวันลาป่วยว่า ปีนี้ป่วยครบสิทธิ์หรือยัง). ปีนึงกฏหมายให้ป่วย 30วัน เจอคนเฉื่อย ปีนึงทำงาน 250วัน พี่แก ซัดไป 30/250 (12%. โอ้แม่เจ้า โคตร Toxic).
• เบิกได้มีเกณฑ์คำนวณเป็นระยะทางแต่ Cover แน่นอน.
• สถานที่ทำงานหลัก โรงงานที่บางพลี สมุทรปราการ.
• ประกันสุขภาพ OPD 3,000บาท - ทำไมต้องสวัสดิการนี้: ไม่มีแยกประกันระหว่างตำแหน่งเงินเดือนสูงหรือต่ำ เพราะคนเงินเดือนสูงมีเงินหาหมออยู่แล้ว เรื่องสุขภาพควรจะเท่ากัน.
• ประกันสุขภาพ IPD เยอะอยู่ครับ แต่จำไม่ได้ว่าเท่าไหร่.
• ทำไมต้องสวัสดิการนี้: Concept เป็นแนวประมาณว่ากลัวพนักงานตัวเล็กๆจะเป็นหนี้ถ้าประสบอุบัติเหตุหนักขึ้นมาเลยทำ IPD ให้ Cover ไว้ เช่นคนเงินเดือน 15,000 เหลือเก็บ 2,000 ล้มมอเตอร์ไซด์แขนหักมาถ้าต้องจ่าย 50,000 ชีวิตเขาก็พังแล้ว.
• Bonus 1-3เดือน.
• ปรับเงินเดือนปีละหนึ่งครั้ง(1%-5%).
• ต้องไม่ได้รับใบเตือน และผลการทำงานต้องเป็นที่พอใจของผู้บังคับบัญชาก็จะเข้าเกณฑ์การันตี Bonus 1เดือน, ส่วนน้องๆที่จบใหม่ ไฟแรงแม้นไม่มีประสบการณ์ แต่ทำงานเก่งเพื่อให้เห็นว่าบริษัทชอบคนสู้งาน คนไฟแรง เรายินดีมอบ Bonus สูงสุด 3เดือนให้สำหรับผู้เป็น Star และหากมีอายุงานเกิน 5ปี ก็อาจได้รับ Bonus สูงสุดถึง6เดือน และ Incentive อื่นๆอีกมากมาย แต่หากเป็นพนักงานเช้าชามเย็นชามเราก็คงต้องแยกจากกันไม่ช้าก็เร็ว.
• ตู้ Vending จำหน่ายน้ำขนม ลด50% จากราคา 7-11 - ทำไมต้องสวัสดิการนี้: ถ้าน้องพนักงานตัวเล็กๆ เงินเดือนไม่มาก ปรกติซื้อขนมกินวันละ 50บาท ประหยัดไ้ด้ 25บาท เดือนนึงทำงาน 25วันก็ 625บาท ปรกติเก็บได้ 2,000ต่อเดือน 625 บาทก็เป็นเกิน 30% ของเงินเก็บแล้ว.
• อาหารเสริมส่วนกลางของ Fitwhey (ถ้าคนกินเวย์ประหยัดเดือนละเป็นพันแน่นอน) - ทำไมต้องสวัสดิการนี้: Whey Protein ไม่ใช่โปรตีนเร่งกล้ามแต่เป้น Super Food ที่มี Health benefit มากมาย.
• Codeส่วนลดสวัสดิการอาหารเสริม - ทำไมต้องสวัสดิการนี้: เหมือนข้อ4.
• ออกกำลังกายอย่างน้อยอาทิตย์ละ 2 วัน โดยมี Trainer / ครูYoga มาสอนให้ฟรี - ทำไมต้องออกกำลังกาย: Fitwhey เป็น Sport Nutrition อันดับหนึ่งของเมืองไทย เราขายอาหารเสริมให้นักกีฬาให้คนทั่วประเทศ และเน้นย้ำว่าเป็นเวย์โปรตีนที่ต้องใช้ควบคู่กับการออกกำลังกาย ดังนั้นพนักงานของเราก็ควรมีร่างกายที่ฟิต (Walking the talk) คุณไม่ต้องฟิตระดับโลก แต่ในวันที่คุณก้าวขาเข้ามาทำงานที่ฟิตเวย์ คุณจะต้องฟิตกว่าตอนที่ทำงานอยู่ที่อื่น คุณจะต้องเป็น TheBestVersion ของตัวเองที่ฟิตเวย์ เพราะเพื่อนๆพี่ๆน้องๆที่ฟิตเวย์จะชวนกันฟิตไปด้วยกัน.
• วันหยุดประจำปี วันลากิจ ลาป่วย (วันหยุดประจำปีมากกว่ากฏหมายกำหนด แต่ถ้าเป็นคนทำงานจริงๆ everyday is working day and must work from anywhere ครับ) วันหยุดประจำปีพวกนี้มีไว้ให้น้อง Operation ได้กลับบ้านและพักผ่อน แต่ถ้าหัวหน้าให้มองว่ามันคือวันนั่ง Clear งาน.
• ประกันสังคม.
• VeryVeryFastPace เน้นคนคิดเร็ว ทำเร็ว.
• หางานเพื่อทำงาน ไม่ใช่ ทำงานเพื่อหาเงิน.
• WorkLife.
• ทำงานแบบไม่ PlaySafe.
• หนักด้วยกัน เหนื่อยด้วยกัน ไม่ทิ้งกัน, ธาตุแท้คน เห็นกันตอนลำบาก.
• มี Org chart แต่พนักงานคุยกันได้ทุก Layer ไม่เจ้ายศ เจ้าอย่าง, อำนาจมีไว้เพื่อสั่ง ตัดสินใจ และรับผิดรับชอบ ไม่ได้มีไว้เล่นการเมือง.
• คนฉลาดวิชาการ แต่พอถึงบทบู๊ก็ใจถึง.
• ไม่ยอมแพ้อะไรง่ายๆ อะไรที่คนพูดว่าไม่ได้ ยิ่งต้องทำมันให้ได้.
• EQ ดี.
• Fuck วุฒิการศึกษา การศึกษาแท้จริงอยู่ที่ปลายนิ้ว วันนี้อยากเรียน Calculus ก็เรียนได้ พรุ่งนี้จะเปลี่ยนเป็น Digital marketing ก็ทำได้.
• กล้าคิด กล้าทำ ทำงานแบบไม่กลัวโดนนายด่า.
• มีความเข้าใจคณิตพื้นฐานเช่น พีชคณิต, ความน่าจะเป็น, สถิติ, Log/เลขยกกำลัง, Calculus ในระดับเบื้องต้น.
• สามารถเขียนโปรแกรมในภาษาใดก็ได้หรือเป็นผู้ใช้ Google Sheet (Excel) ระดับสูง.
• มีพลังงานบวก ไม่คิดลบ ความเป็นลูกผู้ชาย เกิน 100%.

ทักษะ:

Project Management, Data Analysis, Power BI, Python, English

ประเภทงาน:

งานประจำ

• Create project implementation plans and follow up with related departments.
• Perform data analysis using statistical tools, scientific methods, and machine learning.
• Develop data applications and ensure validation, testing, monitoring, and documentation.
• Coordinate with internal and external stakeholders to support digital transformation projects.
• Degree in Computer Science, Data Science, or related fields.
• Knowledge of Manufacturing processes is preferred.
• Experience in Data Science or data analytics.
• Skills in Python, SQL, Git, advanced statistics, data transformation, and Power BI.
• Good English communication skills.
• Required Skills.
• Python.
• SQL.
• Git.
• Advanced statistics.
• Data access and data transformation.
• Power BI.
• Machine learning and data analytics knowledge.
• Competencies.
• Strong result orientation and future-oriented mindset.
• Good cooperation and communication skills.
• Ability to coordinate with cross-functional teams and external partners.
• Strong depth of technical and methodological knowledge.
• Interest in digital transformation and i4.0 initiatives.