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Skills:

ISO 9001, OHSAS 18001

Job type:

Full-time

• ควบคุม ตรวจสอบระบบผลิตน้ำประปาและบำบัดน้ำเสีย.
• จัดการมลพิษที่สงผลกระทบกับสิ่งแวดล้อมในและนอกโรงงาน.
• ปฎิบัติงานตามระบบมาตรฐาน ISO9001, OHSAS18001, มรท8001, SD5001 และระบบมาตรฐานของบริษัท.
• ปฎิบัติตามขั้นตอนการปฎิบัติงาน (WI) อย่างถูกต้อง และสวมใส่อุปกรณ์ป้องกันอันตรายส่วนบุคคลอย่งเคร่งครัด.
• วุฒิปริญญาตรี สาขาวิศวกรรมสิ่งแวดล้อม หรือสาขาที่เกี่ยวข้อง.
• สามารถทำงานวันจันทร์ - วันเสาร์.
• สามารถทำงานที่ โรงงานชำแหละไก่มีนบุรี กทม.
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• Information at a Glance.
• CPF Worldwide.

Skills:

Leadership Skill, English

Job type:

Full-time

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 ...

Experience:

2 years required

Skills:

Risk Management, EHS Management

Job type:

Full-time

• 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].

Skills:

Data Entry

Job type:

Internship

• 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.

Skills:

Microsoft Office, English

Job type:

Internship

• 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.

Experience:

7 years required

Skills:

Petrochemical

Job type:

Full-time

• 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.

Skills:

EHS Management, Risk Management

Job type:

Internship

• 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.

Skills:

Python, SQL, Software Development, Enthusiastic, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company's data science capability.
• Basic.
• Bachelor's degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred.
• Master's or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

Power point, English

Job type:

Internship

• Support project teams in data analytics, data science, and quantitative risk management engagements.
• Assist in data extraction, cleansing, validation, and preparation of structured and unstructured data for analysis.
• Perform data exploration and analysis to identify trends, patterns, and business insights.
• Support the development, testing, and documentation of statistical, predictive, and machine learning models under the guidance of experienced consultants.
• Assist in preparing reports, presentations, and analytical outputs for client engagements.
• Collaborate with business, risk, and technology teams to support project activities and deliverables.
• Work closely with consultants on real client projects while developing analytical, problem-solving, and communication skills.
• 3rd - 4th year students in Computer Engineering, Information Technology, or related fields.
• Proficiency in both spoken and written English and Thai.
• Proficiency in programming and data tools.
• Strong PowerPoint skills.
• Strong communication and presentation capability.
• Ability to multi-task, work under pressure, and meet tight deadline.

Skills:

Electrical Engineering, Python

Job type:

Internship

• Assist in researching and developing AI/ML models to improve product features and business operations.
• Support the implementation of AI solutions in collaboration with engineers and data scientists.
• Explore the new Generative AI tech stack (e.g. RAG, fine-tuning, agentic frameworks) for production use cases.
• Stay up-to-date with the latest trends in AI and share insights with the team.
• Who We Are Looking For.
• Currently pursuing or recently graduated with a degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
• Passion for building impactful technology and solving real-world problems.
• Solid foundation in computer science concepts such as machine learning, algorithms, data structures, and software design.
• Familiarity with Python and data science libraries (e.g. NumPy, Pandas, scikit-learn).
• Exposure to deep learning frameworks like PyTorch or TensorFlow is a plus.
• Interest in Generative AI and cloud-based ML platforms (e.g. AWS SageMaker, Google Vertex AI) is a bonus.
• What You'll Gain.
• Work on meaningful projects with mentorship from experienced AI professionals.
• Be part of a dynamic, fun-loving team that values innovation and collaboration.
• Gain exposure to real-world AI applications and develop essential future-ready AI skills.
• 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 digital'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?.

Skills:

Software Development, DevOps, Python

Job type:

Full-time

• Comfortable in a client-facing role with the ambition to lead teams.
• Likes to distill complex results or processes into simple, clear visualizations.
• Explain sophisticated data science concepts in an understandable manner.
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience).
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data.
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients.
• Have strong project management skills.
• LI-RA1.
• What You'll Bring.
• 10+ years of data science experience; prior professional services or consulting experience is a plus.
• Comfortable in a client-facing role, manage engagements, client relationships, provide "thought leadership" to teams.
• Strong skills in distilling complex analyses into clear, impactful visualizations and explaining advanced data science concepts in an accessible way.
• Enthusiasm for building technical solutions, with hands-on experience using modern development tools and writing code collaboratively.
• Extensive experience applying advanced analytics across various business scenarios, with a demonstrated ability to synthesize complex data into actionable insights.
• Deep understanding of modern machine learning techniques and their mathematical foundations, with the ability to translate these into business impact for clients.
• Proficiency in Python; additional programming languages are a plus.
• Have strong project management skills and can act as interface between business & tech for our clients.
• Outstanding interpersonal and communication skills, with the ability to collaborate in a global team environment and engage with both internal and external stakeholders.
• Additional info.
• We are hiring for this role at both Lead and Principal levels.
• Candidates will be assessed holistically based on relevant experience and key role attributes.
• Ability to travel based on client and business needs.
• Fluency in Thai is preferred; strong English communication skills are also required.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

Skills:

Python, SQL, Good Communication Skills

Job type:

Internship

• Assist in building and evaluating machine learning or statistical models, from problem formulation to implementation.
• Conduct exploratory data analysis to identify predictive signals and improve model performance.
• Support research projects and help translate business problems into data-driven solutions.
• Collaborate with data scientists, engineers, and business teams to design experiments and modeling approaches.
• Who We Are Looking For.
• Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative fields.
• Strong foundation in probability, statistics, and machine learning.
• Programming skills in Python and familiarity with SQL.
• Understanding of the end-to-end model development process is a plus.
• Good communication skills and ability to work with cross-functional teams.
• What You'll Gain.
• Hands-on experience in developing and deploying machine learning models in the fintech industry.
• Mentorship from experienced data scientists and exposure to production-level AI/ML workflows.
• Opportunity to contribute to real projects that impact customer experience and financial access.
• Practical learning in experimentation, data pipelines, and scalable modeling practices.

Skills:

Data Analysis

Job type:

Full-time

• 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.

Skills:

Power BI, Tableau, Python, SQL

Job type:

Full-time

• 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).

Skills:

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

Job type:

Full-time

• 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.

Experience:

1 year required

Skills:

Electrical Engineering, Analytical Thinking, TensorFlow, Python, English

Job type:

Full-time

• 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).

Skills:

Python, SQL

Job type:

Full-time

• 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.

Skills:

Electrical Engineering, Software Architecture, Architecture, TensorFlow, Python

Job type:

Full-time

• 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?.

Experience:

3 years required

Skills:

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

Job type:

Full-time

• 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.

Experience:

2 years required

Skills:

English

Job type:

Full-time

• 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.