เงื่อนไขการค้นหา

ทักษะ:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query,model,generative AI.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

ทักษะ:

Excel, Python, Power BI

ประเภทงาน:

งานประจำ

• Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
• Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
• Work with Store Operations to follow up execution to clear these inventory.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Inventory Analyst, Inventory Planning, Inventory Control at least 5 Years.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Java, Python, Scrum

ประเภทงาน:

งานประจำ

• Engaging with product owners, architects, and other specialists you'll design world-class solutions to address our customer needs.
• Providing design recommendations, developing, and integrating programs per written specifications. Occasionally to frequently responsible for writing moderate to complex design specifications.
• Build and maintain efficient, reusable, reliable and secure code based on User Stories.
• Working within a multi-functional agile team, you'll develop enterprise software, adhering to company standards and established software methodology.
• Through participation in refinement and planning sessions, you'll work with other team members to analyze development requirements, provide design options and complexity estimates, and agree how to deliver the requirements.
• Translating business and technical requirements into detailed design specifications for application code and modules.
• Work closely with team members to set timeframes of the assigned User Stories and details milestones to meet customer and business needs.
• Demonstrating a consistent focus on your good quality of software deliverables through the creation and execution of automated tests using Agile/Scrum process.
• Identifies ways to improve the operation of own area and the team to achieve efficiencies and results.
• Provides technical support to operations or other development teams.
• Doing code review with junior staff to ensure the good quality of code and drive on test automation.
• Actively participating in Scrum meetings, you'll give timely status updates on areas for which you are responsible and call out issues/blockers of project.
• Identifies ways to improve the operation of own area and the team to achieve efficiencies and results.
• Required Skills Master/Bachelor s Degree in Computer Science, Computer Engineering or related discipline.
• 3+ years of experience working in software development or related fields.
• Strong skills and experience developing applications in Java and/or Python or other relevant languages.
• Solid technical background with understanding of programming styles, frameworks, design patterns and unit testing.
• Experience in at least one CSP (AWS, Azure, GCP) with a range of tooling (S3, Lambda, ECS, EC2 for example).
• Experience in at least one of Snowflake, BigQuery, Databricks, Apache Spark.
• At least two programming languages (Java, Python, Go,.NET/C#).
• Experience in relational databases (for example Postgres).
• Understanding of security implications and secure coding.
• Practical experience with agile development methodologies and tools (Scrum, JIRA etc.).
• Good communication skills, both verbal and written.
• Skill for writing clean, readable code and reusable components.
• Experience with Test Driven Development and / or Behavior Driven Development.
• Desired Skills Practical experience with cloud-native application development, preferably AWS.
• Experience on the following technologies: AWS (EC2, ECS/EKS, S3, Lambda, IAM, API Gateway etc.),cloud database technologies (AWS RDS, DynamoDB, Aurora, Postgres, Azure SQL, etc.), and cloud streaming service ( KDA, Kinesis, SQS).
• Go/Rust.
• Docker.
• Experience in Snowflake.
• Experience in Databricks.
• Experience in Apache Spark.
• Experience in BigQuery.
• Experience with Microsoft Azure.
• Experience in SQL database, Nosql database, JSON document.
• Experience in Elasticsearch / Opensearch.
• Kubernetes.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

node.js, Java, Golang, Python, Swift, Thai, English

ประเภทงาน:

งานประจำ

• Develop and maintain web applications for various business sectors.
• Collaborate with cross-functional teams to ensure smooth project delivery.
• Build scalable and high-performance applications on both the frontend and backend.
• 1-5 years of experience in Backend Developer or IOS Developer.
• Backend expertise: Node.js, Java, Golang, Python, C++, Verilog, Javascript, or C# (Require 1 language / มีความสามารถในภาษาใดภาษาหนึ่ง).
• IOS expertise: Swift.
• Experience working on web applications with complex business logic.
• Ability to work independently and as part of a team.
• Good communication skills in English are a plus.
• Work Model: (Depend on project).
• Mostly 100% Work From Home (WFH) or Hybrid (a mix of WFH and Onsite).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Automation, Python

ประเภทงาน:

งานประจำ

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

SQL, Python, English

ประเภทงาน:

งานประจำ

• Research on AI/ML, MarTech and AdTech to explore new tools and techniques.
• Prototype and test hyper-personalization engine using these innovations to ensure benefits and efficiency before full-scale deployment.
• Design, implement and automate personalization engine and recommendation system to enhance customer experiences and boost sales and marketing.
• Leverage Advanced analytics, AI/ML, and data mining techniques across various use cases to address business challenges.
• Design and conduct experiments, evaluate and maintain model to improve performance.
• Engage with key stakeholders, including IT, business, campaign and data teams to align on business requirements and integrate data solutions into our platforms.
• Participate in the vendor selection processes to identify and ensure the best external partners for data science and AI/ML projects.
• Bachelor s Degree or higher in Computer Science, Data Science, Engineering, Statistics, or any related field.
• Minimum of 3-5 years experience in data field and at least 2 years in data science, AI/ML engineer or a related field.
• Proficiency in some of the following: Recommendation engine, Reinforcement Learning, Python, PySpark and SQL and etc.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• ท่านสามารถอ่านและศึกษานโยบายความเป็นส่วนตัวของธนาคารกรุงไทย จำกัด (มหาชน) ที่ https://krungthai.com/th/content/privacy-policy ทั้งนี้ ธนาคารไม่มีเจตนาหรือความจำเป็นใดๆ ที่จะประมวลผลข้อมูลส่วนบุคคลที่มีความอ่อนไหว รวมถึงข้อมูลที่เกี่ยวข้องศาสนาและ/หรือหมู่โลหิต ซึ่งอาจปรากฏอยู่ในสำเนาบัตรประจำตัวประชาชนของท่านแต่อย่างใด ดังนั้น กรุณาอย่าอัปโหลดเอกสารใดๆ รวมถึงสำเนาบัตรประจำตัวประชาชน หรือกรอกข้อมูลส่วนบุคคลที่มีความอ่อนไหวหรือข้อมูลอื่นใด ซึ่งไม่เกี่ยวข้องหรือไม่จำเป็นสำหรับวัตถุประสงค์ในการสมัครงานไว้บนเว็บไซต์ นอกจากนี้ กรุณาดำเนินการให้แน่ใจว่าได้ดำเนินการลบข้อมูลส่วนบุคคลที่มีความอ่อนไหว (ถ้ามี) ออกจากเรซูเม่และเอกสารอื่นใดก่อนที่จะอัปโหลดเอกสารดังกล่าวไว้บนเว็บไซต์แล้วด้วย ทั้งนี้ ธนาคารมีความจำเป็นต้องเก็บรวบรวมข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านเพื่อบรรลุวัตถุประสงค์ในการพิจารณารับบุคคลเข้าทำงาน หรือการตรวจสอบคุณสมบัติ ลักษณะต้องห้าม หรือพิจารณาความเหมาะสมของบุคคลที่จะให้ดำรงตำแหน่ง ซึ่งการให้ความยินยอมเพื่อเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของท่านมีความจำเป็นสำหรับการเข้าทำสัญญาและการได้รับการพิจารณาตามวัตถุประสงค์ดังกล่าวข้างต้น ในกรณีที่ท่านไม่ให้ความยินยอมในการเก็บรวบรวม ใช้ หรือเปิดเผยข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรม หรือมีการถอนความยินยอมในภายหลัง ธนาคารอาจไม่สามารถดำเนินการเพื่อบรรลุวัตถุประสงค์ดังกล่าวข้างต้นได้ และอาจ ทำให้ท่านสูญเสียโอกาสในการได้รับการพิจารณารับเข้าทำงานกับธนาคาร .

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience in data science, machine learning, and predictive analytics, preferably in the banking or financial services industry.
• Strong expertise in Python, R, SQL, and big data frameworks (Spark, Hadoop).
• Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proven track record of developing and deploying ML models in production environments.
• Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong knowledge of statistical modeling, time-series forecasting, NLP, and deep learning techniques.
• Excellent problem-solving skills and ability to communicate complex data insights to non-technical stakeholders.
• Experience in credit risk modeling, fraud detection, or financial forecasting.
• Knowledge of graph analytics, reinforcement learning, or advanced optimization techniques.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website. The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with the Bank. .

ทักษะ:

Jenkins, Automation, Python

ประเภทงาน:

งานประจำ

• Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources.
• CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery.
• Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell.
• Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack.
• Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication.
• Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards.
• Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability.
• Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability.
• Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures.
• Qaulifications.
• Education: Bachelor s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• Experience: [Specify years of experience] years of experience in a DevOps or related role.
• Proficiency in scripting languages (e.g., Python, Bash, Powershell).
• Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
• Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI).
• Familiarity with containerization and orchestration (e.g., Docker, Kubernetes).
• Strong understanding of cloud platforms (e.g., AWS, GCP).
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK).
• Understanding of security best practices and tools.
• Preferred.
• Experience with serverless architectures and microservices.
• Experience in a fast-paced, agile development environment.
• Knowledge of network and security configurations in cloud environments.
• Strong problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and in a team.
• Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.
• Location: True Digital Park, Bangkok.

ทักษะ:

Excel, Python, Power BI

ประเภทงาน:

งานประจำ

• Identify and provide list of non-performing inventory, never been sold inventory, non-Planogram, Inventory to Merchandise & Buyer, follow up action and simulate impact from Mark down price.
• Analyze root cause which impact to non-performing inventory increasing and provide conclusion and recommendation for next step action in term of work in a process with relevant parties.
• Work with Store Operations to follow up execution to clear these inventory.
• Bachelor Degree of Supply Chain, Logistic, Economics, Mathematic and other relate filed.
• Have experience in Inventory control, Inventory Analyst, Inventory Planning at least 3-5 Years.
• Excellent for Excel (Pivot, VLOOKUP, VBA), Python, Power BI, Power Query, Tableau.
• Have experience in Retail business /FMCG would be advantage.
• Good Analytic skills.

ทักษะ:

Research, Statistics, Python, English

ประเภทงาน:

งานประจำ

• 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 Qualifications 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 Qualifications 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.

ทักษะ:

Data Analysis, Python, SQL

ประเภทงาน:

งานประจำ

• Data Collection and Cleaning: Gather data from various sources and prepare it for analysis by cleaning and checking for completeness or errors.
• Data Analysis: Utilize statistical techniques to study, analyze, discover insights, and derive meaningful data-driven conclusions.
• Reporting: Create reports in various formats, presenting data through graphs, features, or figures for stakeholders' use.
• Collaboration: Work with other teams to plan data analysis or resolve specific issues affecting organizational goals.
• Performance Monitoring: Define and track key performance indicators (KPIs) to measure the effectiveness and efficiency of various projects.
• Strategic Planning: Assist the management team in strategic planning by using data analysis to improve workflows and processes.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as PowerBI, R, Python, SQL. C++.
• At least 5 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL).
• Knowledge of ETL tools and techniques for data integration and transformation is a plus.
• Location: BTS Ekkamai
• Working Day: Mon-Fri.

ทักษะ:

SQL, Python, SAS, English

ประเภทงาน:

งานประจำ

• Operating and support internal audit strategies in IT and Engineering process.
• Due to professional internal audit standards for work with corporate stakeholders (auditee).
• Gather information and analyze data related to audit plan using any techniques.
• Analyze data, risks, and sufficiency of the internal control system in the organization s operations.
• Data investigation and monitoring.
• Presenting and writing the summary issue in the report and the data visualization.
• Bachelor or higher in Computer Engineering / Computer Science / IT or any related field.
• Experience at least 2 years in Data Analytics, Information Security, IT Auditor related field.
• Good understanding of data management such as data governance, data analytics, data security, etc.
• Good developing of SQL command, Python, Visual C+, and programming techniques.
• Experience in data visualization tools such as PowerBI, SAS Viya, Tableau etc.
• Skill of project management or team leader.
• Professional certificate of CISA (Certified Information Systems Auditor) or related certificates are advantage.
• Good command in English and Computer literacy.

ทักษะ:

node.js, Golang, Python

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable and robust advertising systems across the stack (frontend, backend, mobile, and infrastructure).
• Build and optimize core features such as PPC models, bidding algorithms, and real-time ad delivery systems.
• Collaborate with product managers to understand advertiser needs and deliver impactful solutions.
• Experiment with new tools, frameworks, and methodologies to discover innovative advertising solutions.
• Develop intuitive dashboards and tools for advertisers using frameworks like React (Next.js) and Svelte (SvelteKit).
• Create and maintain backend services for ad targeting, campaign management, and analytics using Node.js, Golang, or Python.
• Contribute to mobile app features related to ad placements and reporting using Flutter.
• Ensure the stability and scalability of our advertising infrastructure using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Implement and uphold high-quality testing practices, including unit and integration tests for ad-related features.
• Proactively participate in code reviews, offering and receiving constructive feedback.
• Collaborate with cross-functional teams to integrate new advertising technologies effectively.
• Basic Qualifications We value skills and a willingness to learn. You should have proficiency in some of the following or be eager to learn them:Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• Data pipeline for advertisement systems.
• In addition, you should:Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems that are suitable for advertisement systems.
• Be curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications We re especially excited if you bring:Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• Experience building advertising platforms, including PPC models, bidding systems, or ad delivery networks.
• A deep understanding of ad performance metrics and optimization techniques.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• An eye for detail and a passion for creating user-centric advertising tools.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to empower advertisers and businesses alike.
• Perks & Benefits Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

ทักษะ:

Python, Git, Electrical Engineering, English

ประเภทงาน:

งานประจำ

• Design and develop high-performance embedded system (Firmware and FPGA) for communication, industrial and medical devices.
• Analyze and understand user requirements and translate them into technical specifications, encompassing both software and hardware functionalities..
• Develop and implement unit and integration tests for both software and hardware components..
• Troubleshooting issues across both hardware and software domains..
• Stay up-to-date with the latest technologies and trends in embedded systems, software development, and relevant hardware advancements..
• Document code, technical decisions, and hardware integration details..
• Contribute actively to our collaborative and fast-paced environment, helping everyone reach new heights of success..
• Knowledge/Skills/Competencies.
• Knowledge in at least one programming language (C, C++, VHDL or Verilog), more than one is plus.
• Understanding of circuits and electronics, able to read schematics, electronic component datasheets.
• Experience with version control systems (e.g., Git) and development methodologies.
• Excellent problem-solving, analytical, and critical thinking skills.
• Excellent communication and collaboration skills.
• Good written and verbal English communication.
• Self-motivated with the capability to drive development efforts to completion.
• Passion for building innovative and reliable embedded systems that solve real-world problems (from hardware, digital logic design to firmware).
• Typical Experience.
• 0 to 6 years.
• Typical Education.
• Bachelor s Degree in Computer, Electronics, Electrical Engineering or similar field.
• Fresh graduates are welcome to apply.
• On-boarding training and workshop will be provided for Embedded C, FPGA Design, Embedded Security, and SDLC..
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Social media, PHP, Python

ประเภทงาน:

งานประจำ

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Develop and maintain efficient and scalable data collection services from various sources.
• Monitor all job schedules within data pipelines to ensure smooth operations.
• Ensure data quality and integrity across various data sources.
• Enhance existing services to be more flexible and adaptable to data changes.
• Provide alerts and manage issues that may arise in the scheduling process to ensure continuous and efficient services performance.
• Ensure the APIs connection of Social Media and Third Party APIs.
• Working closely with data scientists and data analysts in order to generate business impactful masterpiece..
• 2+ years of experience with HTML/CSS/JS/PHP/Python/SQL/NodeJS and Other Back-End Technologies.
• New graduates with strong specific skill are welcome.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Advanced in Python (Selenium) and SQL.
• Basic understanding of job schedulers (Cron) and Linux environments.
• Systematic thinking, automation finder, change management and always enhancing things are a crucial personality/mindset for this position..
• ประสบการณ์ 2 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ทักษะ:

Research, Product Design, Python, English

ประเภทงาน:

งานประจำ

• Develop and implement technical solutions in two or more technical areas. Lead smaller projects and may coordinate other engineers including reviews of their work.
• Reviews and interprets customer documentation, conducts appropriate research, analysis and experiments with minimal direction from senior staff.
• Creates technical proposals (solution and timelines) based on requirements.
• Provide high level test hardware and software solution architecture.
• Create structural or functional test strategy and test plan to meet project goals and requirements.
• Create technical proposals with costed BOM and hours estimates.
• Create product test requirements with guidance from senior staff and collaboration with customer designers.
• Provides Technical program management for small projects.
• Develop production test strategies based on product design specification.
• Design and develop test solutions including hardware & software elements and then system integration, qualification, and installation to meet product, quality and test requirements outlined in the test plan.
• Debug of tester issues using design of experiments, tools, and failure analysis methodologies.
• Execute all validation/qualification requirements by applying statistical and common industry methods.
• Stabilization of Test Solutions for manufacturing working to optimize with process teams focusing on cycle time and yield.
• Test developers may also work with product design teams with feedback from product testability, test coverage, diagnosability, reparability, firmware/diagnostics and user experience.
• Keeping up to date with relevant industry knowledge and regulations.
• Knowledge/Skills/Competencies.
• Strong knowledge on test development (SW and Test fixtures).
• Proven strong knowledge on test programming development (Python).
• Knowledge on fixtures design, setup/integration.
• Ability to create technical proposals (solution and timelines) based on requirements.
• Ability to multitask and operate in cross functional development teams.
• Good verbal, and written communication skills in English.
• Typical Experience.
• Minimum of 5+ yrs of experience Structural or Functional Test development / support for electronic / automotive industry.
• Must have experience with disciplined operations.
• Must have experience working with and coordinating well with multiple intercompany organizations.
• Typical Education.
• Degree or higher in Electronics Engineering or equivalent.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.
• Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
• At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.
• Celestica (NYSE, TSX: CLS) enables the world s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.
• Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
• Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

ทักษะ:

Scrum, Python, Amazon AWS

ประเภทงาน:

งานประจำ

• As a senior developer, you will be responsible for the whole software creation process. from the architecture design, planning, coding, automated unit testing and CI/CD and deployment process.
• Actively participate in project planning and Agile/Scrum ceremonies to analyze requirements and estimates of work.
• Build and improve our service/code maintainability, reliability by using code analysis tools, copilot AI and other automated tools to ensure excellence code quality.
• What you'll bring: Expertise in Python or other dynamic programming language, Asynchronous programming concept and REST, gRPC API standard.
• Flexibility to learn new technologies or programming languages as required by the project and find opportunities for improvements.
• Proven Experience in building Cloud Native application, preferably Amazon AWS or Microsoft Azure.
• Experience working with Relational/NoSQL databases and caching technologies like ElasticSearch, Redis.
• Familiar with Event-Driven Architecture, message queue or event streaming is a plus.
• What you ll get in return: LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Python, ETL, Compliance

ประเภทงาน:

งานประจำ

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.