เงื่อนไขการค้นหา

ทักษะ:

Leadership Skill, English

ประเภทงาน:

งานประจำ

Key responsibilities include conducting site inspections, investigating incidents, ensuring compliance with EHS regulations, and providing expert guidance to project teams. The key responsibilities 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 actions. Ensure workers are provided with appropriate pers ...

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Risk Management, Industry trends, EHS Management, ISO 14001, Power BI

ประเภทงาน:

งานประจำ

• Ensure compliance with local, customer, and obligations regulations, develop and implement safety and environmental policies, conduct risk assessments, and promote a culture of safety and environmental stewardship within organizations.
• Developing, Implementing, and maintaining an Integrated Management system ( ISO45001, ISO14001, RBA, and PSM ) compliance and maintaining EHS policies, programs, and procedures to ensure compliance and industry standards.
• Overseeing environmental sustainability initiatives, such as waste management, pollu ...
• Provide EHS training and education to employees and management to enhance awareness and understanding of EHS policies and procedures.
• Regular EHS audits and inspections are conducted to ensure compliance and prepare reports for management and regulatory authorities.
• EHS Managers work closely with cross-functional teams, including operations, maintenance, engineering, and human resources, to integrate EHS practices into daily operations.
• Manage the EHS budget, identifying cost-effective solutions for EHS initiatives and equipment purchases.
• Developing organizational skills and managing multiple tasks, projects, and deadlines requires excellent organizational skills, ensuring that all aspects of EHS management are addressed promptly.
• Ensure periodicity audit schedule plan is provided and reviewed to meet regulatory requirements for ISO14001, ISO45001, RBA, PSM, and other standard requirements.
• Efficiently and effectively solve problems and possess expertise in identifying issues and implementing practical solutions.
• Staying current with industry trends, best practices, and regulatory changes is vital to keep EHS programs current and effective.
• Authority.
• Manage or command in case of a crisis situation on behalf of ERT/Incident commander (If order) related with employee life and safety per emergency response plan and business continuity plan (BCP).
• Approver of the action response from employee feedback (e-Voice Out) via e-Voice Out system.
• Review and approve the contractor permit to work via e-PTW system.
• Stop work issue where concerns regarding the potentially a significant risk.
• Bachelor's degree or Master's degree in Occupational Health and Safety, Environmental Science, or Engineering.
• A minimum of working experience 8 years, and A minimum of 2 years in management position in multinational manufacturing company.
• Hold a Professional Safety Officer certificate.
• EHS experience across some of the Southeast Asian counties would be highly regarded.
• Lead Auditor (ISO9001, ISO14001, ISO45001, RBA, PSM and ISO22301.
• Knowledgeable of local EHS laws, RBA & regulations, and Sustainability.
• Skilled in MS Office (Word, Excel, PowerPoints, Power BI, etc ).
• Hazardous substance controller.
• GHG calculation per ISO14064-1.
• Environmental controller per DIW requirement.
• Effective written and verbal communication skills.
• Strong listening, communication, interpersonal, and relational skills are required to develop good relationships within the team.
• Self-motivated, multitasker, and collaborative team player.
• Advance AI-enabled EHS operating model by integrating digital tools and data analytics into daily EHS operations to improve efficiency, compliance monitoring, and risk management.
• LI-SW1.
• WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
• WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
• Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].

ทักษะ:

Data Entry

ประเภทงาน:

ฝึกงาน

• To manage the waste mangement Program.
• To manage the Hazardous Checmical manage program.
• Review Hazardous Chemical,Masterlist and SDS system.
• To mange Environmental Protection reporting per local regulation.
• Bachelor degree in Environmental Protection.
• N/A.
• Ready to drive with Continental? Take the first step and fill in the online application.

ทักษะ:

Microsoft Office, English, Thai

ประเภทงาน:

ฝึกงาน

• Chemical Management (Chemical registration, Hazardous substance control, Chemical report and etc.).
• Contractor Management: Advise contractors and employers to comply with occupational health and safety standards.
• Waste management and report (Waste manifest, Hazardous waste approval).
• Hygiene audit. (Canteen).
• Monthly Excise data report.
• Personal Protective Equipment Control and Handling.
• Emergency equipment audit (Eye wash, Fire extinguisher, etc.).
• Safety Promotion (Create safety poster, safety VDO).
• Manage Safety, Workplace Safety & Health Matters.
• Document controller.
• Currently a student in Bachelor's in Health, Safety and Environment or related fields.
• Good command in English and Thai (some of tasks may use English).
• Basic knowledge in Microsoft Office programs.
• Basic knowledge of Health, Safety and Environment.
• Your advantages.
• You get a behind the scenes look into the workings of a global player - at your request outside Thailand. You are directly involved with the team and can gather practical, degree-related experience.
• Working conditions.
• Monday to Friday, 8:00 am. - 5:30 pm.
• Monthly allowance and housing allowance.
• Free lunch & transportation.
• Vacation eligibility: 1 day / month.
• Make it happen.
• Send us your application by using the I'm interested button!.
• Please include the following details with your application.
• Expected starting and ending dates of internship program.
• Expected longest internship period e.g. 4 months or 5 months.
• Deadline to get confirmation from Bosch.
• Due to high volume of candidates, only shortlisted candidates will be contacted.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Risk Management

ประเภทงาน:

งานประจำ

• Prepare annual safety plans and budgets.
• Prepare documents in compliance with ISO 45001 & ISO 14001 standards and EIA measures.
• Assess risks, investigate accidents, manage fire prevention systems and emergency drills.
• Other duties as assigned.
• About you.
• Bachelor's degree in Occupational Safety and Health or related field.
• At least 1 year of experience in safety and environmental management.

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:

EHS Management, Risk Management

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:

Analytical Thinking, Data Analysis, TensorFlow, Big Data, Python

ประเภทงาน:

งานประจำ

• At Gosoft (Thailand) Co., Ltd., we are looking for an experienced.
• AI and Data Scientist to lead the development of advanced AI and machine learning solutions that drive innovation and business impact across our digital platforms.
• In this role, you will design and deploy large-scale machine learning systems, develop advanced analytical models, and translate complex data into strategic insights. You will collaborate with cross-functional teams including engineering, product, and business stakeholders to solve high-impact challenges in the retail and e-commerce e ...
• Our team builds data-driven solutions that support platforms such as.
• 7-Eleven Thailand and.
• 7-Delivery., including Search Engines, Recommender Systems, Demand Forecasting, Customer Analytics, and other AI-powered retail solutions.
• Lead the design, development, and deployment of advanced machine learning and AI solutions to solve complex business problems.
• Develop and implement predictive models, recommendation systems, forecasting models, and optimization algorithms.
• Architect and deploy end-to-end machine learning pipelines., from data ingestion and feature engineering to model deployment and monitoring.
• Analyze large-scale structured and unstructured datasets to uncover actionable insights and strategic opportunities.
• Collaborate with engineering, product, and business teams to translate business challenges into scalable data science solutions.
• Drive the adoption of best practices in machine learning, experimentation, and model governance.
• Provide technical leadership and mentorship to data scientists and data engineers.
• Evaluate and integrate state-of-the-art AI/ML techniques including deep learning, large language models, and advanced analytics.
• Work closely with data engineering teams to ensure robust data pipelines and scalable ML infrastructure.
• Communicate insights and technical findings to both technical and executive stakeholders.
• Required.
• Bachelors or Masters degree in.
• Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 6-10+ years of experience in data science, machine learning, or AI-related roles.
• Strong expertise in machine learning, statistical modeling, and advanced analytics.
• Proficiency in.
• Python and data science ecosystems (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience designing end-to-end machine learning pipelines and production ML systems.
• Strong experience working with large-scale datasets and big data technologies.
• Ability to translate complex data analysis into business insights and strategic recommendations.
• Strong problem-solving, analytical thinking, and leadership capabilities.
• Excellent communication skills and the ability to present technical concepts to both technical and non-technical stakeholders.
• Preferred.
• Experience in retail, e-commerce, or recommendation systems.
• Experience with search ranking, recommender systems, personalization, or demand forecasting.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with big data technologies such as Spark, Hadoop, or Databricks.
• Experience deploying models using.
• MLOps frameworks and tools.
• Knowledge of deep learning, NLP, or generative AI.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Electrical Engineering, Analytical Thinking, TensorFlow, Python, English

ประเภทงาน:

งานประจำ

• Research and evaluate emerging technologies in Computer Vision, Image Processing, Machine Learning, and Deep Learning.
• Collaborate with SCGP business units and plant teams to identify and define computer vision use cases.
• Develop prototypes and conduct Proof-of-Concept (PoC) studies to assess technical feasibility and potential business value.
• Develop and validate computer vision models for applications such as defect detection, object detection, image classification, segmentation, and anomaly detection.
• Prepare and manage image datasets, including image acquisition, labeling, augmentation, and data quality validation.
• Evaluate model performance using appropriate metrics such as precision, recall, F1-score, IoU, and mAP.
• Support deployment and integration of computer vision models into manufacturing workflows, including edge inference and model monitoring.
• Analyze complex packaging and manufacturing defects, including cases with limited or challenging datasets.
• Document research findings, technical results, and recommendations for further development and implementation.
• Work closely with production, quality, IT, and business teams to translate technical research into practical solutions with measurable business potential.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Science, or other related fields. (Bachelor GPA > 2.70, Master GPA > 3.30).
• Over 1-3 years of relevant experience in Data Science, Computer Vision, Image Processing, Machine Learning, or related fields.
• Strong knowledge of Image Processing and Computer Vision, including image enhancement, segmentation, feature extraction, object detection, image classification, and anomaly detection.
• Knowledge of Machine Learning and Deep Learning, including CNNs, Vision Transformers, transfer learning, supervised/unsupervised learning, and model evaluation.
• Proficiency in Python and relevant frameworks/libraries such as OpenCV, NumPy, scikit-learn, PyTorch, or TensorFlow; knowledge of deployment, edge inference, MLOps, and version control is an advantage.
• Strong analytical thinking, problem-solving, communication, and cross-functional collaboration skills.
• Good command of English in verbal and written communication (TOEIC > 550).
• Willing to work onsite at SCG Packaging Public Company Limited (Bang Sue, Bangkok).

ทักษะ:

Python, SQL

ประเภทงาน:

งานประจำ

• Build end-to-end machine learning or statistical models to use in our digital products from problem formulation, data collection, model development, and implementation.
• Conduct research and analysis on various data sources to find predictive signals to help improve model performance.
• Collaborate with other business units to help formulate business problems into data analytic, experimentation, or modeling problems.
• looking for.
• Strong background in probability, statistics, machine learning, or other quantitative areas of study.
• Good understanding of end-to-end model development process from problem formulation to implementation.
• Ability to communicate effectively with business units to help formulate problems into data analytics, experiments, or modeling problems.
• Background in finance is optional, but one should have a strong interest in our business and fintech industry.
• Programming skills in Python and SQL.

ทักษะ:

Power BI, Tableau, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with stakeholders to determine data collection needs and appropriate data resources for specific projects or initiatives.
• Responsible for development, deployment and sustainment of algorithm and data model.
• Evaluate and recommend other database & analytics technologies.
• Participate in special projects and performs other duties as assigned.
• Experience in SQL, Python/R and data visualization (e.g. Tableau/PowerBI).
• Perform advanced analysis (hypothesis testing, predictive model, clustering, etc).
• Excellent communication skills (verbal and written).

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model,.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.

ทักษะ:

Electrical Engineering, Software Architecture, Architecture, TensorFlow, Python

ประเภทงาน:

งานประจำ

• Research, develop and apply AI and deep learning techniques to improve our products and business operations.
• Collaborate with cross-functional teams to identify business problems that can benefit from AI solutions.
• Work with AI/MLOps team to implement AI solutions into production environments following high-quality software engineering standards.
• Research and develop Generative AI solutions using state-of-the-art techniques (e.g. Retrieval-Augmented Generation, model fine-tuning, and agentic frameworks) to improve user experiences and increase efficiency in business operations.
• Stay current with the latest advancements in AI/ML/GenAI research and technologies.
• looking for.
• Have passion for building great and impactful technology.
• Bachelor's or master's degree in Computer Engineering, Electrical Engineering, Computer Science or related fields.
• Strong background in Computer Science and Software Engineering including algorithms, data structures, software architecture, OOP, system design, etc.
• Proficiency with deep learning model development using frameworks like PyTorch and TensorFlow.
• Proficiency with common data science Python packages e.g. scikit-learn, NumPy, Pandas).
• Good understanding of machine learning fundamentals and model development lifecycle.
• Experience with developing Generative AI applications is a plus.
• Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google Vertex AI) is a plus.
• Our Data & AI Team.
• We are a group of adventure-loving folks with a diverse mix of skillsets. Our crew includes a marathoner, rock climbers, divers, entrepreneurs, and professional travelers, who usually work hard and play even harder.
• What brings us together? A shared passion for AI and ML, software engineering, data engineering, MarTech, and all the cool stuff like GenAI. We really strive to use them to bring real value to Abacus's business. Just to name a few, the complex, real-time loan decision engine runs on the systems built by our teams, and so does the data platform that enables data-driven decisions across the company. And the team vibe and culture? Think Silicon Valley - at least that's where we aspire to be.
• By the way, can you guess which sentences are generated by AI?.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Problem Solving, Automation, TensorFlow, Leadership Skill

ประเภทงาน:

งานประจำ

• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend, Pentaho PDI or AWS Glue.
• Applying analytical models to predict business outcomes with tools such as Dataiku, DataRobot or TensorFlow, Keras or pyTorch.
• Good understanding of AI/ML processes and algorithms like k-means clustering, propensity models, text analytics, predictive models.
• Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams' work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Machine learning and big data activities and demonstrate value through use cases. Applied experience in 2 or more types of machine learning problem classes -- forecasting, prediction, segmentation, optimization and cognitive use cases.
• Proficient at data quality assessment, data exploration, profiling, design and development of analytic data sets, statistical analysis and machine learning modelling, application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization.
• Work on development of new data science solutions iteratively by building quick POCs and converting ideas into real products.
• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Have a passion for delivering quality code and ensuring the team's deliverables meet or exceed client expectations.
• Good foundation in data science, with competencies in data structures, algorithms and coding.
• 3-5 years of experience in data science building supervised, unsupervised and/or optimization models leading to business impact. Comfortable working cloud environments and big data / scalable computing.
• Experience with AWS or GCP machine learning platform or python or R.
• Experience with tools such as Dataiku, DataRobot.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis

ประเภทงาน:

งานประจำ

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Software Engineering.
• We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.
• Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.
• Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.
• Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.
• Present insights and findings through visualizations and dashboards to inform decision-making.
• Stay updated on the latest tools and techniques in data science and retail analytics.
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• At least 2 years of experience in data science or a related field.
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Strong problem-solving, communication, and teamwork abilities.
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/BC2701CDBF/apply).

ทักษะ:

Data Analysis, Python

ประเภทงาน:

งานประจำ

• Phra Nakhon Si Ayutthaya, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Software Engineering.
• Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models).
• Experience with forecasting models such as.
• LightGBM/ XGBoost.
• and classical time series methods (e.g.,.
• ETS/ARIMA.
• Strong understanding of the machine learning workflow (data cleansing, feature engineering, model evaluation, model explainability).
• Familiarity with forecasting evaluation metrics (e.g.
• MAPE, MAE.
• ) and ability to validate model performance.
• Strong.
• SQL.
• skills for managing and querying large datasets.
• Knowledge of data visualization tools (e.g.,.
• Power BI.
• Experience with cloud-based technologies such as Databricks, Azure, or AWS.
• Strong communication skills - able to explain insights and models to both business and technical teams.
• Ownership and accountability - able to deliver end-to-end solutions, not just analysis.
• Collaboration - able to work effectively with Data Engineering, Tech, Product, and Supply Chain teams.
• Exposure to MLOps tools (e.g., MLflow, job scheduling).
• Experience building production pipelines for forecast outputs (daily/weekly runs) and supporting downstream systems.
• Experience in real-time analytics or scheduled processing systems.
• Optimization mindset - able to balance accuracy, business impact, and time constraints.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/ABE89A62D0/apply).

ทักษะ:

Data Analysis, Oracle, Python, ERP

ประเภทงาน:

งานประจำ

• Bangkok, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• A Senior Data Scientist I in the Finance Transformation team at CP Axtra is a hands-on expert who designs, develops, and deploys statistical models and machine learning algorithms to solve finance and commercial challenges across Makro and Lotus's, such as forecasting, margin and cost analytics, working-capital optimization, and fraud/anomaly detection. The role covers in-depth analysis, data preparation, building robust pipelines, and rigorously evaluating and optimizing model performance, while collaborating with Finance, engineering, and product teams and mentoring junior data scientists.
• Design, develop, and implement statistical models and ML algorithms to solve finance and commercial problems (e.g., sales/cost forecasting, margin optimization, anomaly detection).
• Conduct in-depth exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large financial and transactional datasets.
• Clean, transform, and validate data from Oracle Fusion and other sources to ensure data quality and integrity for modeling.
• Build and maintain robust data pipelines and features for model training and inference.
• Evaluate model performance using appropriate metrics, perform rigorous A/B testing, and continuously optimize models for production.
• Collaborate with engineers, product owners, and Finance stakeholders to define requirements and integrate solutions.
• Communicate complex analytical findings and model results clearly to both technical and non-technical finance audiences.
• Research and apply cutting-edge data science techniques to improve existing methodologies and capabilities.
• Develop and present data visualizations, dashboards, and reports to illustrate insights and track key financial metrics.
• Mentor junior data scientists on best practices for analysis, modeling, and productionization.
• 1\. Expertise in developing and implementing complex machine learning and statistical models, ideally on financial or transactional data.
• 2\. Proficient in preparing, cleaning, and transforming large datasets.
• 3\. Strong coding skills in Python or R, with relevant libraries (e.g., scikit-learn, pandas, NumPy).
• 4\. Ability to create clear, insightful data visualizations and dashboards for finance stakeholders.
• 5\. Experience in designing, executing, and analyzing controlled experiments (A/B testing).
• 6\. Excellent ability to articulate complex findings to technical and non-technical audiences and work cross-functionally.
• 7\. Proficient in querying and managing data in relational and non-relational databases, including ERP sources such as Oracle Fusion.
• International workplace.
• Opportunities for growth in e-commerce, wholesales, and retail industry.
• Competitive benefits.
• Fast-paced, dynamic, and supportive environment.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/AA0E77E6C2/apply).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Automation, Python, SQL, TensorFlow, Big Data

ประเภทงาน:

งานประจำ

• Nawamin, Thailand (Hybrid).
• Workplace: hybrid.
• Position Summary.
• The Senior Data Scientist plays a key role in designing and delivering AI, machine learning, and automation solutions that drive business impact across retail and digital transformation initiatives. This role works closely with business stakeholders, product owners, and cross functional technology teams to develop scalable, production-ready AI solutions and support data-driven decision making.
• Design, develop, and deploy end-to-end AI/ML and automation solutions.
• Build scalable data pipelines, feature engineering workflows, and predictive models.
• Apply machine learning, statistical analysis, forecasting, and experimentation techniques to solve business problems.
• Collaborate with business and technology teams to translate business needs into AI/ML solutions.
• Implement and support MLOps practices including model deployment, monitoring, retraining, and CI/CD workflows.
• Develop GenAI/LLM-based applications and automation tools to improve operational efficiency.
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.
• Mentor junior data scientists through code reviews, technical guidance, and best practices.
• Ensure proper documentation, maintainability, and scalability of AI solutions.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in Data Science, Machine Learning, or Applied AI.
• Strong programming skills in Python and SQL.
• Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with big data processing and cloud platforms such as PySpark and Azure Databricks.
• Strong understanding of statistics, forecasting, experimentation, and model evaluation.
• Experience with MLOps, model deployment, and monitoring processes.
• Ability to communicate technical concepts effectively to business stakeholders.
• Experience working in Agile/Scrum environments.
• Additional.
• Preferred.
• Experience in retail, e-commerce, FMCG, or digital business environments.
• Familiarity with Azure ML, MLflow, Airflow, Docker, or Kubernetes.
• Experience with GenAI, LLM applications, prompt engineering, or RAG pipelines.
• Understanding of data governance and PDPA considerations.
• Experience mentoring or leading junior team members.
• Certifications in AI, Cloud, or Data Science are a plus.
• Why Join Us?.
• Work on high-impact AI and machine learning initiatives within a leading retail organization.
• Build and deploy real-world AI solutions that drive measurable business outcomes.
• Collaborate with cross-functional teams in a modern, cloud-native technology environment.
• Access cutting-edge tools and platforms in AI, MLOps, and GenAI.
• Be part of a fast-growing digital transformation team with strong career growth opportunities.
• Flexible hybrid working environment based in Bangkok.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/7721C44AB7/apply).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

TensorFlow, Selenium, Python, Scrum, Cloud Computing

ประเภทงาน:

งานประจำ

• Bangkok, Thailand (Hybrid).
• Workplace: hybrid.
• The Data Scientist is responsible for developing predictive models, optimisation and analytical solutions across a broad range of business problems including demand forecasting, price and elasticity modelling, customer and store segmentation, and AI/LLM-based solutions that enable data-driven decisions across commercial and operational functions. This role bridges business needs and advanced analytics, combining stro ...
• Modelling & Optimisation.
• Design, develop, and deploy predictive and machine-learning models across areas such as demand forecasting, price and elasticity modelling, price/assortment optimisation, and recommendation.
• Build customer and store segmentation, clustering, and entity-matching / item-mapping solutions to support commercial and marketing decisions.
• Frame business problems as data science problems, selecting appropriate methods and validation approaches to deliver reliable, production-ready outcomes.
• Continuously evaluate and improve model performance, accuracy, and business impact over time.
• AI & Advanced Analytics.
• Apply NLP and LLM/Generative AI techniques to use cases such as text classification, sentiment/voice-of-customer analysis, data mapping, and RAG or text-to-SQL applications.
• Prototype and evaluate emerging AI approaches, turning promising experiments into practical business solution.
• Data, Insights & Data Sourcing.
• Source, acquire, and integrate data from internal systems, third-party providers, and external sources (e.g. web scraping, APIs, public datasets).
• Explore, clean, and transform large datasets to prepare high-quality features; ensure data quality, consistency, and integrity.
• Identify trends, patterns, and opportunities in data - including external factors - and proactively surface insights that drive business value.
• Delivery & Productionisation.
• Build and maintain data pipelines and scheduled jobs (e.g. on Databricks) to run models and analytics reliably in production.
• Deliver results through dashboards, reports, and applications, and maintain clear documentation of models, data, and methodologies.
• Business Partnering.
• Engage with business stakeholders to understand objectives, gather requirements, and translate them into data science solutions.
• Communicate complex results clearly to technical and non-technical audiences, and manage timelines and deliverables to agreed success criteria.
• Bachelor's degree (minimum); Master's degree preferred in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3-5 years of hands-on data science experience in a commercial or enterprise environment.
• Experience in retail, FMCG, or e-commerce is a strong advantage.
• Strong programming skills in Python and SQL with solid command of data science libraries (e.g. pandas, scikit-learn, TensorFlow/PyTorch).
• Sound understanding of machine-learning and statistical techniques, with experience across several of: forecasting, elasticity/optimisation, segmentation/clustering, and entity matching.
• Experience with NLP and LLM/Generative AI (e.g. embeddings, RAG, text-to-SQL) is a strong advantage.
• Ability to source and integrate external data via web scraping and APIs (e.g. requests, Playwright/Selenium).
• Experience building and scheduling data pipelines, ideally on Databricks/Spark, or a similar big-data or cloud platform (Azure, AWS, or GCP).
• Strong data storytelling and visualisation skills; able to communicate insights clearly to technical and non-technical audiences.
• Proven track record of delivering data science projects end-to-end, on time, and managing stakeholder expectations.
• Familiarity with version control (Git) and Agile/Scrum delivery is a plus.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/C1BD20FD69/apply).